Upload 5 files
Browse files- checkpoint/config (4).json +305 -0
- checkpoint/rng_state (3).pth +3 -0
- checkpoint/scheduler (3).pt +3 -0
- checkpoint/trainer_state (3).json +2059 -0
- checkpoint/training_args (3).bin +3 -0
checkpoint/config (4).json
ADDED
@@ -0,0 +1,305 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"activation": "gelu",
|
3 |
+
"architectures": [
|
4 |
+
"DistilBertForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.1,
|
7 |
+
"dim": 768,
|
8 |
+
"dropout": 0.1,
|
9 |
+
"hidden_dim": 3072,
|
10 |
+
"id2label": {
|
11 |
+
"0": "LABEL_0",
|
12 |
+
"1": "LABEL_1",
|
13 |
+
"2": "LABEL_2",
|
14 |
+
"3": "LABEL_3",
|
15 |
+
"4": "LABEL_4",
|
16 |
+
"5": "LABEL_5",
|
17 |
+
"6": "LABEL_6",
|
18 |
+
"7": "LABEL_7",
|
19 |
+
"8": "LABEL_8",
|
20 |
+
"9": "LABEL_9",
|
21 |
+
"10": "LABEL_10",
|
22 |
+
"11": "LABEL_11",
|
23 |
+
"12": "LABEL_12",
|
24 |
+
"13": "LABEL_13",
|
25 |
+
"14": "LABEL_14",
|
26 |
+
"15": "LABEL_15",
|
27 |
+
"16": "LABEL_16",
|
28 |
+
"17": "LABEL_17",
|
29 |
+
"18": "LABEL_18",
|
30 |
+
"19": "LABEL_19",
|
31 |
+
"20": "LABEL_20",
|
32 |
+
"21": "LABEL_21",
|
33 |
+
"22": "LABEL_22",
|
34 |
+
"23": "LABEL_23",
|
35 |
+
"24": "LABEL_24",
|
36 |
+
"25": "LABEL_25",
|
37 |
+
"26": "LABEL_26",
|
38 |
+
"27": "LABEL_27",
|
39 |
+
"28": "LABEL_28",
|
40 |
+
"29": "LABEL_29",
|
41 |
+
"30": "LABEL_30",
|
42 |
+
"31": "LABEL_31",
|
43 |
+
"32": "LABEL_32",
|
44 |
+
"33": "LABEL_33",
|
45 |
+
"34": "LABEL_34",
|
46 |
+
"35": "LABEL_35",
|
47 |
+
"36": "LABEL_36",
|
48 |
+
"37": "LABEL_37",
|
49 |
+
"38": "LABEL_38",
|
50 |
+
"39": "LABEL_39",
|
51 |
+
"40": "LABEL_40",
|
52 |
+
"41": "LABEL_41",
|
53 |
+
"42": "LABEL_42",
|
54 |
+
"43": "LABEL_43",
|
55 |
+
"44": "LABEL_44",
|
56 |
+
"45": "LABEL_45",
|
57 |
+
"46": "LABEL_46",
|
58 |
+
"47": "LABEL_47",
|
59 |
+
"48": "LABEL_48",
|
60 |
+
"49": "LABEL_49",
|
61 |
+
"50": "LABEL_50",
|
62 |
+
"51": "LABEL_51",
|
63 |
+
"52": "LABEL_52",
|
64 |
+
"53": "LABEL_53",
|
65 |
+
"54": "LABEL_54",
|
66 |
+
"55": "LABEL_55",
|
67 |
+
"56": "LABEL_56",
|
68 |
+
"57": "LABEL_57",
|
69 |
+
"58": "LABEL_58",
|
70 |
+
"59": "LABEL_59",
|
71 |
+
"60": "LABEL_60",
|
72 |
+
"61": "LABEL_61",
|
73 |
+
"62": "LABEL_62",
|
74 |
+
"63": "LABEL_63",
|
75 |
+
"64": "LABEL_64",
|
76 |
+
"65": "LABEL_65",
|
77 |
+
"66": "LABEL_66",
|
78 |
+
"67": "LABEL_67",
|
79 |
+
"68": "LABEL_68",
|
80 |
+
"69": "LABEL_69",
|
81 |
+
"70": "LABEL_70",
|
82 |
+
"71": "LABEL_71",
|
83 |
+
"72": "LABEL_72",
|
84 |
+
"73": "LABEL_73",
|
85 |
+
"74": "LABEL_74",
|
86 |
+
"75": "LABEL_75",
|
87 |
+
"76": "LABEL_76",
|
88 |
+
"77": "LABEL_77",
|
89 |
+
"78": "LABEL_78",
|
90 |
+
"79": "LABEL_79",
|
91 |
+
"80": "LABEL_80",
|
92 |
+
"81": "LABEL_81",
|
93 |
+
"82": "LABEL_82",
|
94 |
+
"83": "LABEL_83",
|
95 |
+
"84": "LABEL_84",
|
96 |
+
"85": "LABEL_85",
|
97 |
+
"86": "LABEL_86",
|
98 |
+
"87": "LABEL_87",
|
99 |
+
"88": "LABEL_88",
|
100 |
+
"89": "LABEL_89",
|
101 |
+
"90": "LABEL_90",
|
102 |
+
"91": "LABEL_91",
|
103 |
+
"92": "LABEL_92",
|
104 |
+
"93": "LABEL_93",
|
105 |
+
"94": "LABEL_94",
|
106 |
+
"95": "LABEL_95",
|
107 |
+
"96": "LABEL_96",
|
108 |
+
"97": "LABEL_97",
|
109 |
+
"98": "LABEL_98",
|
110 |
+
"99": "LABEL_99",
|
111 |
+
"100": "LABEL_100",
|
112 |
+
"101": "LABEL_101",
|
113 |
+
"102": "LABEL_102",
|
114 |
+
"103": "LABEL_103",
|
115 |
+
"104": "LABEL_104",
|
116 |
+
"105": "LABEL_105",
|
117 |
+
"106": "LABEL_106",
|
118 |
+
"107": "LABEL_107",
|
119 |
+
"108": "LABEL_108",
|
120 |
+
"109": "LABEL_109",
|
121 |
+
"110": "LABEL_110",
|
122 |
+
"111": "LABEL_111",
|
123 |
+
"112": "LABEL_112",
|
124 |
+
"113": "LABEL_113",
|
125 |
+
"114": "LABEL_114",
|
126 |
+
"115": "LABEL_115",
|
127 |
+
"116": "LABEL_116",
|
128 |
+
"117": "LABEL_117",
|
129 |
+
"118": "LABEL_118",
|
130 |
+
"119": "LABEL_119",
|
131 |
+
"120": "LABEL_120",
|
132 |
+
"121": "LABEL_121",
|
133 |
+
"122": "LABEL_122",
|
134 |
+
"123": "LABEL_123",
|
135 |
+
"124": "LABEL_124",
|
136 |
+
"125": "LABEL_125",
|
137 |
+
"126": "LABEL_126",
|
138 |
+
"127": "LABEL_127",
|
139 |
+
"128": "LABEL_128",
|
140 |
+
"129": "LABEL_129",
|
141 |
+
"130": "LABEL_130",
|
142 |
+
"131": "LABEL_131",
|
143 |
+
"132": "LABEL_132",
|
144 |
+
"133": "LABEL_133",
|
145 |
+
"134": "LABEL_134",
|
146 |
+
"135": "LABEL_135",
|
147 |
+
"136": "LABEL_136",
|
148 |
+
"137": "LABEL_137"
|
149 |
+
},
|
150 |
+
"initializer_range": 0.02,
|
151 |
+
"label2id": {
|
152 |
+
"LABEL_0": 0,
|
153 |
+
"LABEL_1": 1,
|
154 |
+
"LABEL_10": 10,
|
155 |
+
"LABEL_100": 100,
|
156 |
+
"LABEL_101": 101,
|
157 |
+
"LABEL_102": 102,
|
158 |
+
"LABEL_103": 103,
|
159 |
+
"LABEL_104": 104,
|
160 |
+
"LABEL_105": 105,
|
161 |
+
"LABEL_106": 106,
|
162 |
+
"LABEL_107": 107,
|
163 |
+
"LABEL_108": 108,
|
164 |
+
"LABEL_109": 109,
|
165 |
+
"LABEL_11": 11,
|
166 |
+
"LABEL_110": 110,
|
167 |
+
"LABEL_111": 111,
|
168 |
+
"LABEL_112": 112,
|
169 |
+
"LABEL_113": 113,
|
170 |
+
"LABEL_114": 114,
|
171 |
+
"LABEL_115": 115,
|
172 |
+
"LABEL_116": 116,
|
173 |
+
"LABEL_117": 117,
|
174 |
+
"LABEL_118": 118,
|
175 |
+
"LABEL_119": 119,
|
176 |
+
"LABEL_12": 12,
|
177 |
+
"LABEL_120": 120,
|
178 |
+
"LABEL_121": 121,
|
179 |
+
"LABEL_122": 122,
|
180 |
+
"LABEL_123": 123,
|
181 |
+
"LABEL_124": 124,
|
182 |
+
"LABEL_125": 125,
|
183 |
+
"LABEL_126": 126,
|
184 |
+
"LABEL_127": 127,
|
185 |
+
"LABEL_128": 128,
|
186 |
+
"LABEL_129": 129,
|
187 |
+
"LABEL_13": 13,
|
188 |
+
"LABEL_130": 130,
|
189 |
+
"LABEL_131": 131,
|
190 |
+
"LABEL_132": 132,
|
191 |
+
"LABEL_133": 133,
|
192 |
+
"LABEL_134": 134,
|
193 |
+
"LABEL_135": 135,
|
194 |
+
"LABEL_136": 136,
|
195 |
+
"LABEL_137": 137,
|
196 |
+
"LABEL_14": 14,
|
197 |
+
"LABEL_15": 15,
|
198 |
+
"LABEL_16": 16,
|
199 |
+
"LABEL_17": 17,
|
200 |
+
"LABEL_18": 18,
|
201 |
+
"LABEL_19": 19,
|
202 |
+
"LABEL_2": 2,
|
203 |
+
"LABEL_20": 20,
|
204 |
+
"LABEL_21": 21,
|
205 |
+
"LABEL_22": 22,
|
206 |
+
"LABEL_23": 23,
|
207 |
+
"LABEL_24": 24,
|
208 |
+
"LABEL_25": 25,
|
209 |
+
"LABEL_26": 26,
|
210 |
+
"LABEL_27": 27,
|
211 |
+
"LABEL_28": 28,
|
212 |
+
"LABEL_29": 29,
|
213 |
+
"LABEL_3": 3,
|
214 |
+
"LABEL_30": 30,
|
215 |
+
"LABEL_31": 31,
|
216 |
+
"LABEL_32": 32,
|
217 |
+
"LABEL_33": 33,
|
218 |
+
"LABEL_34": 34,
|
219 |
+
"LABEL_35": 35,
|
220 |
+
"LABEL_36": 36,
|
221 |
+
"LABEL_37": 37,
|
222 |
+
"LABEL_38": 38,
|
223 |
+
"LABEL_39": 39,
|
224 |
+
"LABEL_4": 4,
|
225 |
+
"LABEL_40": 40,
|
226 |
+
"LABEL_41": 41,
|
227 |
+
"LABEL_42": 42,
|
228 |
+
"LABEL_43": 43,
|
229 |
+
"LABEL_44": 44,
|
230 |
+
"LABEL_45": 45,
|
231 |
+
"LABEL_46": 46,
|
232 |
+
"LABEL_47": 47,
|
233 |
+
"LABEL_48": 48,
|
234 |
+
"LABEL_49": 49,
|
235 |
+
"LABEL_5": 5,
|
236 |
+
"LABEL_50": 50,
|
237 |
+
"LABEL_51": 51,
|
238 |
+
"LABEL_52": 52,
|
239 |
+
"LABEL_53": 53,
|
240 |
+
"LABEL_54": 54,
|
241 |
+
"LABEL_55": 55,
|
242 |
+
"LABEL_56": 56,
|
243 |
+
"LABEL_57": 57,
|
244 |
+
"LABEL_58": 58,
|
245 |
+
"LABEL_59": 59,
|
246 |
+
"LABEL_6": 6,
|
247 |
+
"LABEL_60": 60,
|
248 |
+
"LABEL_61": 61,
|
249 |
+
"LABEL_62": 62,
|
250 |
+
"LABEL_63": 63,
|
251 |
+
"LABEL_64": 64,
|
252 |
+
"LABEL_65": 65,
|
253 |
+
"LABEL_66": 66,
|
254 |
+
"LABEL_67": 67,
|
255 |
+
"LABEL_68": 68,
|
256 |
+
"LABEL_69": 69,
|
257 |
+
"LABEL_7": 7,
|
258 |
+
"LABEL_70": 70,
|
259 |
+
"LABEL_71": 71,
|
260 |
+
"LABEL_72": 72,
|
261 |
+
"LABEL_73": 73,
|
262 |
+
"LABEL_74": 74,
|
263 |
+
"LABEL_75": 75,
|
264 |
+
"LABEL_76": 76,
|
265 |
+
"LABEL_77": 77,
|
266 |
+
"LABEL_78": 78,
|
267 |
+
"LABEL_79": 79,
|
268 |
+
"LABEL_8": 8,
|
269 |
+
"LABEL_80": 80,
|
270 |
+
"LABEL_81": 81,
|
271 |
+
"LABEL_82": 82,
|
272 |
+
"LABEL_83": 83,
|
273 |
+
"LABEL_84": 84,
|
274 |
+
"LABEL_85": 85,
|
275 |
+
"LABEL_86": 86,
|
276 |
+
"LABEL_87": 87,
|
277 |
+
"LABEL_88": 88,
|
278 |
+
"LABEL_89": 89,
|
279 |
+
"LABEL_9": 9,
|
280 |
+
"LABEL_90": 90,
|
281 |
+
"LABEL_91": 91,
|
282 |
+
"LABEL_92": 92,
|
283 |
+
"LABEL_93": 93,
|
284 |
+
"LABEL_94": 94,
|
285 |
+
"LABEL_95": 95,
|
286 |
+
"LABEL_96": 96,
|
287 |
+
"LABEL_97": 97,
|
288 |
+
"LABEL_98": 98,
|
289 |
+
"LABEL_99": 99
|
290 |
+
},
|
291 |
+
"max_position_embeddings": 512,
|
292 |
+
"model_type": "distilbert",
|
293 |
+
"n_heads": 12,
|
294 |
+
"n_layers": 6,
|
295 |
+
"output_past": true,
|
296 |
+
"pad_token_id": 0,
|
297 |
+
"problem_type": "multi_label_classification",
|
298 |
+
"qa_dropout": 0.1,
|
299 |
+
"seq_classif_dropout": 0.2,
|
300 |
+
"sinusoidal_pos_embds": false,
|
301 |
+
"tie_weights_": true,
|
302 |
+
"torch_dtype": "float32",
|
303 |
+
"transformers_version": "4.50.3",
|
304 |
+
"vocab_size": 28996
|
305 |
+
}
|
checkpoint/rng_state (3).pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c50d9628402a32df38c032752f3d8a88e0c9e2bf51198d620654679fa05dafea
|
3 |
+
size 14244
|
checkpoint/scheduler (3).pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0cdc803c58331651f83de9a076d84c91dc54e425a92682d176ffa7127a5a1c12
|
3 |
+
size 1064
|
checkpoint/trainer_state (3).json
ADDED
@@ -0,0 +1,2059 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_global_step": 2500,
|
3 |
+
"best_metric": 0.6559016016048936,
|
4 |
+
"best_model_checkpoint": "./results/checkpoint-2500",
|
5 |
+
"epoch": 1.2195121951219512,
|
6 |
+
"eval_steps": 100,
|
7 |
+
"global_step": 2500,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"epoch": 0.004878048780487805,
|
14 |
+
"grad_norm": 0.5707780718803406,
|
15 |
+
"learning_rate": 1.0000000000000002e-06,
|
16 |
+
"loss": 0.373,
|
17 |
+
"step": 10
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.00975609756097561,
|
21 |
+
"grad_norm": 0.5740946531295776,
|
22 |
+
"learning_rate": 2.0000000000000003e-06,
|
23 |
+
"loss": 0.3695,
|
24 |
+
"step": 20
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.014634146341463415,
|
28 |
+
"grad_norm": 0.5766364336013794,
|
29 |
+
"learning_rate": 3e-06,
|
30 |
+
"loss": 0.3651,
|
31 |
+
"step": 30
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.01951219512195122,
|
35 |
+
"grad_norm": 0.5667976140975952,
|
36 |
+
"learning_rate": 4.000000000000001e-06,
|
37 |
+
"loss": 0.3589,
|
38 |
+
"step": 40
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.024390243902439025,
|
42 |
+
"grad_norm": 0.5701761841773987,
|
43 |
+
"learning_rate": 5e-06,
|
44 |
+
"loss": 0.3521,
|
45 |
+
"step": 50
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.02926829268292683,
|
49 |
+
"grad_norm": 0.562853991985321,
|
50 |
+
"learning_rate": 6e-06,
|
51 |
+
"loss": 0.3424,
|
52 |
+
"step": 60
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.03414634146341464,
|
56 |
+
"grad_norm": 0.558131754398346,
|
57 |
+
"learning_rate": 7.000000000000001e-06,
|
58 |
+
"loss": 0.3304,
|
59 |
+
"step": 70
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.03902439024390244,
|
63 |
+
"grad_norm": 0.5538951754570007,
|
64 |
+
"learning_rate": 8.000000000000001e-06,
|
65 |
+
"loss": 0.315,
|
66 |
+
"step": 80
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.04390243902439024,
|
70 |
+
"grad_norm": 0.5401511788368225,
|
71 |
+
"learning_rate": 9e-06,
|
72 |
+
"loss": 0.2998,
|
73 |
+
"step": 90
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.04878048780487805,
|
77 |
+
"grad_norm": 0.5289145708084106,
|
78 |
+
"learning_rate": 1e-05,
|
79 |
+
"loss": 0.2813,
|
80 |
+
"step": 100
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.04878048780487805,
|
84 |
+
"eval_f1": 0.02288934762189008,
|
85 |
+
"eval_loss": 0.2639255225658417,
|
86 |
+
"eval_precision": 0.011585886400544311,
|
87 |
+
"eval_recall": 0.938986325802616,
|
88 |
+
"eval_runtime": 132.4738,
|
89 |
+
"eval_samples_per_second": 61.899,
|
90 |
+
"eval_steps_per_second": 0.974,
|
91 |
+
"step": 100
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 0.05365853658536585,
|
95 |
+
"grad_norm": 0.5152837038040161,
|
96 |
+
"learning_rate": 1.1000000000000001e-05,
|
97 |
+
"loss": 0.2626,
|
98 |
+
"step": 110
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.05853658536585366,
|
102 |
+
"grad_norm": 0.48544010519981384,
|
103 |
+
"learning_rate": 1.2e-05,
|
104 |
+
"loss": 0.2423,
|
105 |
+
"step": 120
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.06341463414634146,
|
109 |
+
"grad_norm": 0.47114691138267517,
|
110 |
+
"learning_rate": 1.3000000000000001e-05,
|
111 |
+
"loss": 0.2222,
|
112 |
+
"step": 130
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 0.06829268292682927,
|
116 |
+
"grad_norm": 0.44177231192588806,
|
117 |
+
"learning_rate": 1.4000000000000001e-05,
|
118 |
+
"loss": 0.2014,
|
119 |
+
"step": 140
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 0.07317073170731707,
|
123 |
+
"grad_norm": 0.4138778746128082,
|
124 |
+
"learning_rate": 1.5e-05,
|
125 |
+
"loss": 0.1792,
|
126 |
+
"step": 150
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 0.07804878048780488,
|
130 |
+
"grad_norm": 0.3736928403377533,
|
131 |
+
"learning_rate": 1.6000000000000003e-05,
|
132 |
+
"loss": 0.1606,
|
133 |
+
"step": 160
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 0.08292682926829269,
|
137 |
+
"grad_norm": 0.3438684046268463,
|
138 |
+
"learning_rate": 1.7000000000000003e-05,
|
139 |
+
"loss": 0.1425,
|
140 |
+
"step": 170
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.08780487804878048,
|
144 |
+
"grad_norm": 0.29839885234832764,
|
145 |
+
"learning_rate": 1.8e-05,
|
146 |
+
"loss": 0.1254,
|
147 |
+
"step": 180
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.09268292682926829,
|
151 |
+
"grad_norm": 0.27134254574775696,
|
152 |
+
"learning_rate": 1.9e-05,
|
153 |
+
"loss": 0.1091,
|
154 |
+
"step": 190
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 0.0975609756097561,
|
158 |
+
"grad_norm": 0.24228985607624054,
|
159 |
+
"learning_rate": 2e-05,
|
160 |
+
"loss": 0.0955,
|
161 |
+
"step": 200
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 0.0975609756097561,
|
165 |
+
"eval_f1": 0.40798082528988794,
|
166 |
+
"eval_loss": 0.08500728011131287,
|
167 |
+
"eval_precision": 0.2875361436615431,
|
168 |
+
"eval_recall": 0.7020659928656362,
|
169 |
+
"eval_runtime": 133.9225,
|
170 |
+
"eval_samples_per_second": 61.229,
|
171 |
+
"eval_steps_per_second": 0.963,
|
172 |
+
"step": 200
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"epoch": 0.1024390243902439,
|
176 |
+
"grad_norm": 0.21252021193504333,
|
177 |
+
"learning_rate": 2.1e-05,
|
178 |
+
"loss": 0.0858,
|
179 |
+
"step": 210
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.1073170731707317,
|
183 |
+
"grad_norm": 0.20333224534988403,
|
184 |
+
"learning_rate": 2.2000000000000003e-05,
|
185 |
+
"loss": 0.0761,
|
186 |
+
"step": 220
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 0.11219512195121951,
|
190 |
+
"grad_norm": 0.1808163970708847,
|
191 |
+
"learning_rate": 2.3000000000000003e-05,
|
192 |
+
"loss": 0.0707,
|
193 |
+
"step": 230
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 0.11707317073170732,
|
197 |
+
"grad_norm": 0.14729662239551544,
|
198 |
+
"learning_rate": 2.4e-05,
|
199 |
+
"loss": 0.0631,
|
200 |
+
"step": 240
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.12195121951219512,
|
204 |
+
"grad_norm": 0.16881898045539856,
|
205 |
+
"learning_rate": 2.5e-05,
|
206 |
+
"loss": 0.0588,
|
207 |
+
"step": 250
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.12682926829268293,
|
211 |
+
"grad_norm": 0.17096662521362305,
|
212 |
+
"learning_rate": 2.6000000000000002e-05,
|
213 |
+
"loss": 0.0535,
|
214 |
+
"step": 260
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 0.13170731707317074,
|
218 |
+
"grad_norm": 0.15806329250335693,
|
219 |
+
"learning_rate": 2.7000000000000002e-05,
|
220 |
+
"loss": 0.0507,
|
221 |
+
"step": 270
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 0.13658536585365855,
|
225 |
+
"grad_norm": 0.10550623387098312,
|
226 |
+
"learning_rate": 2.8000000000000003e-05,
|
227 |
+
"loss": 0.0529,
|
228 |
+
"step": 280
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 0.14146341463414633,
|
232 |
+
"grad_norm": 0.1570628583431244,
|
233 |
+
"learning_rate": 2.9e-05,
|
234 |
+
"loss": 0.0464,
|
235 |
+
"step": 290
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 0.14634146341463414,
|
239 |
+
"grad_norm": 0.11487462371587753,
|
240 |
+
"learning_rate": 3e-05,
|
241 |
+
"loss": 0.0455,
|
242 |
+
"step": 300
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.14634146341463414,
|
246 |
+
"eval_f1": 0.40842269111034246,
|
247 |
+
"eval_loss": 0.04193972423672676,
|
248 |
+
"eval_precision": 0.28798780487804876,
|
249 |
+
"eval_recall": 0.7019916765755053,
|
250 |
+
"eval_runtime": 131.8065,
|
251 |
+
"eval_samples_per_second": 62.212,
|
252 |
+
"eval_steps_per_second": 0.979,
|
253 |
+
"step": 300
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"epoch": 0.15121951219512195,
|
257 |
+
"grad_norm": 0.10432987660169601,
|
258 |
+
"learning_rate": 3.1e-05,
|
259 |
+
"loss": 0.0414,
|
260 |
+
"step": 310
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.15609756097560976,
|
264 |
+
"grad_norm": 0.12195131927728653,
|
265 |
+
"learning_rate": 3.2000000000000005e-05,
|
266 |
+
"loss": 0.0415,
|
267 |
+
"step": 320
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 0.16097560975609757,
|
271 |
+
"grad_norm": 0.11948198080062866,
|
272 |
+
"learning_rate": 3.3e-05,
|
273 |
+
"loss": 0.0415,
|
274 |
+
"step": 330
|
275 |
+
},
|
276 |
+
{
|
277 |
+
"epoch": 0.16585365853658537,
|
278 |
+
"grad_norm": 0.11321187764406204,
|
279 |
+
"learning_rate": 3.4000000000000007e-05,
|
280 |
+
"loss": 0.0402,
|
281 |
+
"step": 340
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 0.17073170731707318,
|
285 |
+
"grad_norm": 0.13302814960479736,
|
286 |
+
"learning_rate": 3.5e-05,
|
287 |
+
"loss": 0.0385,
|
288 |
+
"step": 350
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 0.17560975609756097,
|
292 |
+
"grad_norm": 0.18504567444324493,
|
293 |
+
"learning_rate": 3.6e-05,
|
294 |
+
"loss": 0.0393,
|
295 |
+
"step": 360
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 0.18048780487804877,
|
299 |
+
"grad_norm": 0.11665136367082596,
|
300 |
+
"learning_rate": 3.7e-05,
|
301 |
+
"loss": 0.0361,
|
302 |
+
"step": 370
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.18536585365853658,
|
306 |
+
"grad_norm": 0.09814433008432388,
|
307 |
+
"learning_rate": 3.8e-05,
|
308 |
+
"loss": 0.0373,
|
309 |
+
"step": 380
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.1902439024390244,
|
313 |
+
"grad_norm": 0.10006968677043915,
|
314 |
+
"learning_rate": 3.9000000000000006e-05,
|
315 |
+
"loss": 0.0336,
|
316 |
+
"step": 390
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 0.1951219512195122,
|
320 |
+
"grad_norm": 0.14240923523902893,
|
321 |
+
"learning_rate": 4e-05,
|
322 |
+
"loss": 0.0363,
|
323 |
+
"step": 400
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 0.1951219512195122,
|
327 |
+
"eval_f1": 0.4903333065186496,
|
328 |
+
"eval_loss": 0.03265204280614853,
|
329 |
+
"eval_precision": 0.383563367873474,
|
330 |
+
"eval_recall": 0.6794738406658739,
|
331 |
+
"eval_runtime": 131.7664,
|
332 |
+
"eval_samples_per_second": 62.231,
|
333 |
+
"eval_steps_per_second": 0.979,
|
334 |
+
"step": 400
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"epoch": 0.2,
|
338 |
+
"grad_norm": 0.09334200620651245,
|
339 |
+
"learning_rate": 4.1e-05,
|
340 |
+
"loss": 0.0332,
|
341 |
+
"step": 410
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 0.2048780487804878,
|
345 |
+
"grad_norm": 0.0977184921503067,
|
346 |
+
"learning_rate": 4.2e-05,
|
347 |
+
"loss": 0.0326,
|
348 |
+
"step": 420
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 0.2097560975609756,
|
352 |
+
"grad_norm": 0.12227483093738556,
|
353 |
+
"learning_rate": 4.3e-05,
|
354 |
+
"loss": 0.0321,
|
355 |
+
"step": 430
|
356 |
+
},
|
357 |
+
{
|
358 |
+
"epoch": 0.2146341463414634,
|
359 |
+
"grad_norm": 0.07999078929424286,
|
360 |
+
"learning_rate": 4.4000000000000006e-05,
|
361 |
+
"loss": 0.0304,
|
362 |
+
"step": 440
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.21951219512195122,
|
366 |
+
"grad_norm": 0.13925114274024963,
|
367 |
+
"learning_rate": 4.5e-05,
|
368 |
+
"loss": 0.0296,
|
369 |
+
"step": 450
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.22439024390243903,
|
373 |
+
"grad_norm": 0.09850054234266281,
|
374 |
+
"learning_rate": 4.600000000000001e-05,
|
375 |
+
"loss": 0.0286,
|
376 |
+
"step": 460
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 0.22926829268292684,
|
380 |
+
"grad_norm": 0.09087326377630234,
|
381 |
+
"learning_rate": 4.7e-05,
|
382 |
+
"loss": 0.0293,
|
383 |
+
"step": 470
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 0.23414634146341465,
|
387 |
+
"grad_norm": 0.11158157885074615,
|
388 |
+
"learning_rate": 4.8e-05,
|
389 |
+
"loss": 0.0329,
|
390 |
+
"step": 480
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 0.23902439024390243,
|
394 |
+
"grad_norm": 0.0853157714009285,
|
395 |
+
"learning_rate": 4.9e-05,
|
396 |
+
"loss": 0.0302,
|
397 |
+
"step": 490
|
398 |
+
},
|
399 |
+
{
|
400 |
+
"epoch": 0.24390243902439024,
|
401 |
+
"grad_norm": 0.1297878473997116,
|
402 |
+
"learning_rate": 5e-05,
|
403 |
+
"loss": 0.0321,
|
404 |
+
"step": 500
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 0.24390243902439024,
|
408 |
+
"eval_f1": 0.5804941656357618,
|
409 |
+
"eval_loss": 0.02912677265703678,
|
410 |
+
"eval_precision": 0.5276241414939524,
|
411 |
+
"eval_recall": 0.645139714625446,
|
412 |
+
"eval_runtime": 132.6761,
|
413 |
+
"eval_samples_per_second": 61.805,
|
414 |
+
"eval_steps_per_second": 0.972,
|
415 |
+
"step": 500
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.24878048780487805,
|
419 |
+
"grad_norm": 0.1282796561717987,
|
420 |
+
"learning_rate": 4.9911504424778765e-05,
|
421 |
+
"loss": 0.0316,
|
422 |
+
"step": 510
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.25365853658536586,
|
426 |
+
"grad_norm": 0.12388455867767334,
|
427 |
+
"learning_rate": 4.982300884955752e-05,
|
428 |
+
"loss": 0.0302,
|
429 |
+
"step": 520
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.25853658536585367,
|
433 |
+
"grad_norm": 0.11067409813404083,
|
434 |
+
"learning_rate": 4.9734513274336284e-05,
|
435 |
+
"loss": 0.0299,
|
436 |
+
"step": 530
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.2634146341463415,
|
440 |
+
"grad_norm": 0.16229726374149323,
|
441 |
+
"learning_rate": 4.964601769911505e-05,
|
442 |
+
"loss": 0.0269,
|
443 |
+
"step": 540
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.2682926829268293,
|
447 |
+
"grad_norm": 0.12282289564609528,
|
448 |
+
"learning_rate": 4.955752212389381e-05,
|
449 |
+
"loss": 0.0303,
|
450 |
+
"step": 550
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.2731707317073171,
|
454 |
+
"grad_norm": 0.11870788037776947,
|
455 |
+
"learning_rate": 4.946902654867257e-05,
|
456 |
+
"loss": 0.031,
|
457 |
+
"step": 560
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.2780487804878049,
|
461 |
+
"grad_norm": 0.17082759737968445,
|
462 |
+
"learning_rate": 4.938053097345133e-05,
|
463 |
+
"loss": 0.0318,
|
464 |
+
"step": 570
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.28292682926829266,
|
468 |
+
"grad_norm": 0.10085482150316238,
|
469 |
+
"learning_rate": 4.929203539823009e-05,
|
470 |
+
"loss": 0.0269,
|
471 |
+
"step": 580
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.28780487804878047,
|
475 |
+
"grad_norm": 0.15493524074554443,
|
476 |
+
"learning_rate": 4.9203539823008854e-05,
|
477 |
+
"loss": 0.0308,
|
478 |
+
"step": 590
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.2926829268292683,
|
482 |
+
"grad_norm": 0.106038898229599,
|
483 |
+
"learning_rate": 4.911504424778761e-05,
|
484 |
+
"loss": 0.0284,
|
485 |
+
"step": 600
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.2926829268292683,
|
489 |
+
"eval_f1": 0.5525415591430115,
|
490 |
+
"eval_loss": 0.027496203780174255,
|
491 |
+
"eval_precision": 0.4633618520382486,
|
492 |
+
"eval_recall": 0.684230083234245,
|
493 |
+
"eval_runtime": 132.4968,
|
494 |
+
"eval_samples_per_second": 61.888,
|
495 |
+
"eval_steps_per_second": 0.974,
|
496 |
+
"step": 600
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 0.2975609756097561,
|
500 |
+
"grad_norm": 0.0896712988615036,
|
501 |
+
"learning_rate": 4.902654867256637e-05,
|
502 |
+
"loss": 0.0279,
|
503 |
+
"step": 610
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 0.3024390243902439,
|
507 |
+
"grad_norm": 0.0858699232339859,
|
508 |
+
"learning_rate": 4.893805309734513e-05,
|
509 |
+
"loss": 0.0287,
|
510 |
+
"step": 620
|
511 |
+
},
|
512 |
+
{
|
513 |
+
"epoch": 0.3073170731707317,
|
514 |
+
"grad_norm": 0.09710809588432312,
|
515 |
+
"learning_rate": 4.88495575221239e-05,
|
516 |
+
"loss": 0.0253,
|
517 |
+
"step": 630
|
518 |
+
},
|
519 |
+
{
|
520 |
+
"epoch": 0.3121951219512195,
|
521 |
+
"grad_norm": 0.09191035479307175,
|
522 |
+
"learning_rate": 4.876106194690266e-05,
|
523 |
+
"loss": 0.0251,
|
524 |
+
"step": 640
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 0.3170731707317073,
|
528 |
+
"grad_norm": 0.08466064929962158,
|
529 |
+
"learning_rate": 4.867256637168142e-05,
|
530 |
+
"loss": 0.0241,
|
531 |
+
"step": 650
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 0.32195121951219513,
|
535 |
+
"grad_norm": 0.10560336709022522,
|
536 |
+
"learning_rate": 4.858407079646018e-05,
|
537 |
+
"loss": 0.0263,
|
538 |
+
"step": 660
|
539 |
+
},
|
540 |
+
{
|
541 |
+
"epoch": 0.32682926829268294,
|
542 |
+
"grad_norm": 0.1608184576034546,
|
543 |
+
"learning_rate": 4.849557522123894e-05,
|
544 |
+
"loss": 0.027,
|
545 |
+
"step": 670
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 0.33170731707317075,
|
549 |
+
"grad_norm": 0.10734377801418304,
|
550 |
+
"learning_rate": 4.84070796460177e-05,
|
551 |
+
"loss": 0.0281,
|
552 |
+
"step": 680
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 0.33658536585365856,
|
556 |
+
"grad_norm": 0.07804067432880402,
|
557 |
+
"learning_rate": 4.831858407079646e-05,
|
558 |
+
"loss": 0.0274,
|
559 |
+
"step": 690
|
560 |
+
},
|
561 |
+
{
|
562 |
+
"epoch": 0.34146341463414637,
|
563 |
+
"grad_norm": 0.08093168586492538,
|
564 |
+
"learning_rate": 4.823008849557522e-05,
|
565 |
+
"loss": 0.029,
|
566 |
+
"step": 700
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 0.34146341463414637,
|
570 |
+
"eval_f1": 0.626304952497923,
|
571 |
+
"eval_loss": 0.026616454124450684,
|
572 |
+
"eval_precision": 0.6093343642370141,
|
573 |
+
"eval_recall": 0.6442479191438764,
|
574 |
+
"eval_runtime": 132.4172,
|
575 |
+
"eval_samples_per_second": 61.925,
|
576 |
+
"eval_steps_per_second": 0.974,
|
577 |
+
"step": 700
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 0.3463414634146341,
|
581 |
+
"grad_norm": 0.12165658921003342,
|
582 |
+
"learning_rate": 4.814159292035398e-05,
|
583 |
+
"loss": 0.0303,
|
584 |
+
"step": 710
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.35121951219512193,
|
588 |
+
"grad_norm": 0.11557145416736603,
|
589 |
+
"learning_rate": 4.805309734513275e-05,
|
590 |
+
"loss": 0.0288,
|
591 |
+
"step": 720
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.35609756097560974,
|
595 |
+
"grad_norm": 0.120982825756073,
|
596 |
+
"learning_rate": 4.7964601769911506e-05,
|
597 |
+
"loss": 0.0251,
|
598 |
+
"step": 730
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 0.36097560975609755,
|
602 |
+
"grad_norm": 0.09892363101243973,
|
603 |
+
"learning_rate": 4.787610619469027e-05,
|
604 |
+
"loss": 0.0292,
|
605 |
+
"step": 740
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 0.36585365853658536,
|
609 |
+
"grad_norm": 0.10615638643503189,
|
610 |
+
"learning_rate": 4.778761061946903e-05,
|
611 |
+
"loss": 0.0258,
|
612 |
+
"step": 750
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 0.37073170731707317,
|
616 |
+
"grad_norm": 0.1078324243426323,
|
617 |
+
"learning_rate": 4.769911504424779e-05,
|
618 |
+
"loss": 0.0249,
|
619 |
+
"step": 760
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 0.375609756097561,
|
623 |
+
"grad_norm": 0.131972536444664,
|
624 |
+
"learning_rate": 4.761061946902655e-05,
|
625 |
+
"loss": 0.0291,
|
626 |
+
"step": 770
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.3804878048780488,
|
630 |
+
"grad_norm": 0.08731543272733688,
|
631 |
+
"learning_rate": 4.752212389380531e-05,
|
632 |
+
"loss": 0.0294,
|
633 |
+
"step": 780
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.3853658536585366,
|
637 |
+
"grad_norm": 0.14496171474456787,
|
638 |
+
"learning_rate": 4.743362831858407e-05,
|
639 |
+
"loss": 0.0235,
|
640 |
+
"step": 790
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 0.3902439024390244,
|
644 |
+
"grad_norm": 0.10081491619348526,
|
645 |
+
"learning_rate": 4.734513274336283e-05,
|
646 |
+
"loss": 0.0304,
|
647 |
+
"step": 800
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 0.3902439024390244,
|
651 |
+
"eval_f1": 0.5844212089339851,
|
652 |
+
"eval_loss": 0.02550012618303299,
|
653 |
+
"eval_precision": 0.5005829358770535,
|
654 |
+
"eval_recall": 0.7019916765755053,
|
655 |
+
"eval_runtime": 132.3532,
|
656 |
+
"eval_samples_per_second": 61.955,
|
657 |
+
"eval_steps_per_second": 0.975,
|
658 |
+
"step": 800
|
659 |
+
},
|
660 |
+
{
|
661 |
+
"epoch": 0.3951219512195122,
|
662 |
+
"grad_norm": 0.07158678770065308,
|
663 |
+
"learning_rate": 4.7256637168141595e-05,
|
664 |
+
"loss": 0.025,
|
665 |
+
"step": 810
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 0.4,
|
669 |
+
"grad_norm": 0.1092309057712555,
|
670 |
+
"learning_rate": 4.716814159292036e-05,
|
671 |
+
"loss": 0.0257,
|
672 |
+
"step": 820
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 0.40487804878048783,
|
676 |
+
"grad_norm": 0.10517269372940063,
|
677 |
+
"learning_rate": 4.707964601769912e-05,
|
678 |
+
"loss": 0.0235,
|
679 |
+
"step": 830
|
680 |
+
},
|
681 |
+
{
|
682 |
+
"epoch": 0.4097560975609756,
|
683 |
+
"grad_norm": 0.0983092337846756,
|
684 |
+
"learning_rate": 4.699115044247788e-05,
|
685 |
+
"loss": 0.0257,
|
686 |
+
"step": 840
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 0.4146341463414634,
|
690 |
+
"grad_norm": 0.11815937608480453,
|
691 |
+
"learning_rate": 4.690265486725664e-05,
|
692 |
+
"loss": 0.0273,
|
693 |
+
"step": 850
|
694 |
+
},
|
695 |
+
{
|
696 |
+
"epoch": 0.4195121951219512,
|
697 |
+
"grad_norm": 0.13173235952854156,
|
698 |
+
"learning_rate": 4.6814159292035396e-05,
|
699 |
+
"loss": 0.0266,
|
700 |
+
"step": 860
|
701 |
+
},
|
702 |
+
{
|
703 |
+
"epoch": 0.424390243902439,
|
704 |
+
"grad_norm": 0.08506595343351364,
|
705 |
+
"learning_rate": 4.672566371681416e-05,
|
706 |
+
"loss": 0.0243,
|
707 |
+
"step": 870
|
708 |
+
},
|
709 |
+
{
|
710 |
+
"epoch": 0.4292682926829268,
|
711 |
+
"grad_norm": 0.07343988120555878,
|
712 |
+
"learning_rate": 4.663716814159292e-05,
|
713 |
+
"loss": 0.026,
|
714 |
+
"step": 880
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 0.43414634146341463,
|
718 |
+
"grad_norm": 0.08313016593456268,
|
719 |
+
"learning_rate": 4.6548672566371684e-05,
|
720 |
+
"loss": 0.0283,
|
721 |
+
"step": 890
|
722 |
+
},
|
723 |
+
{
|
724 |
+
"epoch": 0.43902439024390244,
|
725 |
+
"grad_norm": 0.07794070988893509,
|
726 |
+
"learning_rate": 4.646017699115045e-05,
|
727 |
+
"loss": 0.0267,
|
728 |
+
"step": 900
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 0.43902439024390244,
|
732 |
+
"eval_f1": 0.5883609508987152,
|
733 |
+
"eval_loss": 0.024745287373661995,
|
734 |
+
"eval_precision": 0.4991456531869725,
|
735 |
+
"eval_recall": 0.7164090368608799,
|
736 |
+
"eval_runtime": 132.4255,
|
737 |
+
"eval_samples_per_second": 61.922,
|
738 |
+
"eval_steps_per_second": 0.974,
|
739 |
+
"step": 900
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 0.44390243902439025,
|
743 |
+
"grad_norm": 0.1075003445148468,
|
744 |
+
"learning_rate": 4.637168141592921e-05,
|
745 |
+
"loss": 0.0285,
|
746 |
+
"step": 910
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 0.44878048780487806,
|
750 |
+
"grad_norm": 0.11088255792856216,
|
751 |
+
"learning_rate": 4.6283185840707966e-05,
|
752 |
+
"loss": 0.0229,
|
753 |
+
"step": 920
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 0.45365853658536587,
|
757 |
+
"grad_norm": 0.10665366053581238,
|
758 |
+
"learning_rate": 4.619469026548673e-05,
|
759 |
+
"loss": 0.027,
|
760 |
+
"step": 930
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 0.4585365853658537,
|
764 |
+
"grad_norm": 0.11324100941419601,
|
765 |
+
"learning_rate": 4.6106194690265485e-05,
|
766 |
+
"loss": 0.0265,
|
767 |
+
"step": 940
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 0.4634146341463415,
|
771 |
+
"grad_norm": 0.1377974897623062,
|
772 |
+
"learning_rate": 4.601769911504425e-05,
|
773 |
+
"loss": 0.0249,
|
774 |
+
"step": 950
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 0.4682926829268293,
|
778 |
+
"grad_norm": 0.08704473823308945,
|
779 |
+
"learning_rate": 4.592920353982301e-05,
|
780 |
+
"loss": 0.0275,
|
781 |
+
"step": 960
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 0.47317073170731705,
|
785 |
+
"grad_norm": 0.07551635056734085,
|
786 |
+
"learning_rate": 4.584070796460177e-05,
|
787 |
+
"loss": 0.0267,
|
788 |
+
"step": 970
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 0.47804878048780486,
|
792 |
+
"grad_norm": 0.06435199081897736,
|
793 |
+
"learning_rate": 4.5752212389380536e-05,
|
794 |
+
"loss": 0.0263,
|
795 |
+
"step": 980
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 0.48292682926829267,
|
799 |
+
"grad_norm": 0.1029893159866333,
|
800 |
+
"learning_rate": 4.56637168141593e-05,
|
801 |
+
"loss": 0.0215,
|
802 |
+
"step": 990
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 0.4878048780487805,
|
806 |
+
"grad_norm": 0.09537643939256668,
|
807 |
+
"learning_rate": 4.5575221238938055e-05,
|
808 |
+
"loss": 0.024,
|
809 |
+
"step": 1000
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 0.4878048780487805,
|
813 |
+
"eval_f1": 0.6293077812654881,
|
814 |
+
"eval_loss": 0.023848505690693855,
|
815 |
+
"eval_precision": 0.5665417335950979,
|
816 |
+
"eval_recall": 0.7077140309155767,
|
817 |
+
"eval_runtime": 131.8557,
|
818 |
+
"eval_samples_per_second": 62.189,
|
819 |
+
"eval_steps_per_second": 0.978,
|
820 |
+
"step": 1000
|
821 |
+
},
|
822 |
+
{
|
823 |
+
"epoch": 0.4926829268292683,
|
824 |
+
"grad_norm": 0.11213461309671402,
|
825 |
+
"learning_rate": 4.548672566371682e-05,
|
826 |
+
"loss": 0.0258,
|
827 |
+
"step": 1010
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 0.4975609756097561,
|
831 |
+
"grad_norm": 0.09799027442932129,
|
832 |
+
"learning_rate": 4.5398230088495574e-05,
|
833 |
+
"loss": 0.0244,
|
834 |
+
"step": 1020
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 0.5024390243902439,
|
838 |
+
"grad_norm": 0.0755227655172348,
|
839 |
+
"learning_rate": 4.5309734513274336e-05,
|
840 |
+
"loss": 0.0269,
|
841 |
+
"step": 1030
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 0.5073170731707317,
|
845 |
+
"grad_norm": 0.10655403882265091,
|
846 |
+
"learning_rate": 4.52212389380531e-05,
|
847 |
+
"loss": 0.027,
|
848 |
+
"step": 1040
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 0.5121951219512195,
|
852 |
+
"grad_norm": 0.11206043511629105,
|
853 |
+
"learning_rate": 4.5132743362831855e-05,
|
854 |
+
"loss": 0.0268,
|
855 |
+
"step": 1050
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 0.5170731707317073,
|
859 |
+
"grad_norm": 0.08644779026508331,
|
860 |
+
"learning_rate": 4.5044247787610625e-05,
|
861 |
+
"loss": 0.0258,
|
862 |
+
"step": 1060
|
863 |
+
},
|
864 |
+
{
|
865 |
+
"epoch": 0.5219512195121951,
|
866 |
+
"grad_norm": 0.07745319604873657,
|
867 |
+
"learning_rate": 4.495575221238939e-05,
|
868 |
+
"loss": 0.0232,
|
869 |
+
"step": 1070
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 0.526829268292683,
|
873 |
+
"grad_norm": 0.10960444808006287,
|
874 |
+
"learning_rate": 4.4867256637168144e-05,
|
875 |
+
"loss": 0.0271,
|
876 |
+
"step": 1080
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 0.5317073170731708,
|
880 |
+
"grad_norm": 0.09823193401098251,
|
881 |
+
"learning_rate": 4.4778761061946906e-05,
|
882 |
+
"loss": 0.0279,
|
883 |
+
"step": 1090
|
884 |
+
},
|
885 |
+
{
|
886 |
+
"epoch": 0.5365853658536586,
|
887 |
+
"grad_norm": 0.10037508606910706,
|
888 |
+
"learning_rate": 4.469026548672566e-05,
|
889 |
+
"loss": 0.0226,
|
890 |
+
"step": 1100
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 0.5365853658536586,
|
894 |
+
"eval_f1": 0.6288948069241012,
|
895 |
+
"eval_loss": 0.023997528478503227,
|
896 |
+
"eval_precision": 0.5695851423058369,
|
897 |
+
"eval_recall": 0.7019916765755053,
|
898 |
+
"eval_runtime": 131.8239,
|
899 |
+
"eval_samples_per_second": 62.204,
|
900 |
+
"eval_steps_per_second": 0.979,
|
901 |
+
"step": 1100
|
902 |
+
},
|
903 |
+
{
|
904 |
+
"epoch": 0.5414634146341464,
|
905 |
+
"grad_norm": 0.086235910654068,
|
906 |
+
"learning_rate": 4.4601769911504425e-05,
|
907 |
+
"loss": 0.0243,
|
908 |
+
"step": 1110
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 0.5463414634146342,
|
912 |
+
"grad_norm": 0.09304425120353699,
|
913 |
+
"learning_rate": 4.451327433628319e-05,
|
914 |
+
"loss": 0.0236,
|
915 |
+
"step": 1120
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 0.551219512195122,
|
919 |
+
"grad_norm": 0.09922584891319275,
|
920 |
+
"learning_rate": 4.4424778761061944e-05,
|
921 |
+
"loss": 0.0222,
|
922 |
+
"step": 1130
|
923 |
+
},
|
924 |
+
{
|
925 |
+
"epoch": 0.5560975609756098,
|
926 |
+
"grad_norm": 0.07448361814022064,
|
927 |
+
"learning_rate": 4.433628318584071e-05,
|
928 |
+
"loss": 0.0246,
|
929 |
+
"step": 1140
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 0.5609756097560976,
|
933 |
+
"grad_norm": 0.08881635963916779,
|
934 |
+
"learning_rate": 4.4247787610619477e-05,
|
935 |
+
"loss": 0.023,
|
936 |
+
"step": 1150
|
937 |
+
},
|
938 |
+
{
|
939 |
+
"epoch": 0.5658536585365853,
|
940 |
+
"grad_norm": 0.11040020734071732,
|
941 |
+
"learning_rate": 4.415929203539823e-05,
|
942 |
+
"loss": 0.0255,
|
943 |
+
"step": 1160
|
944 |
+
},
|
945 |
+
{
|
946 |
+
"epoch": 0.5707317073170731,
|
947 |
+
"grad_norm": 0.10073444992303848,
|
948 |
+
"learning_rate": 4.4070796460176995e-05,
|
949 |
+
"loss": 0.0234,
|
950 |
+
"step": 1170
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 0.5756097560975609,
|
954 |
+
"grad_norm": 0.1330658495426178,
|
955 |
+
"learning_rate": 4.398230088495575e-05,
|
956 |
+
"loss": 0.0253,
|
957 |
+
"step": 1180
|
958 |
+
},
|
959 |
+
{
|
960 |
+
"epoch": 0.5804878048780487,
|
961 |
+
"grad_norm": 0.11121776700019836,
|
962 |
+
"learning_rate": 4.3893805309734514e-05,
|
963 |
+
"loss": 0.0253,
|
964 |
+
"step": 1190
|
965 |
+
},
|
966 |
+
{
|
967 |
+
"epoch": 0.5853658536585366,
|
968 |
+
"grad_norm": 0.07611318677663803,
|
969 |
+
"learning_rate": 4.380530973451328e-05,
|
970 |
+
"loss": 0.021,
|
971 |
+
"step": 1200
|
972 |
+
},
|
973 |
+
{
|
974 |
+
"epoch": 0.5853658536585366,
|
975 |
+
"eval_f1": 0.6257888792931642,
|
976 |
+
"eval_loss": 0.024241872131824493,
|
977 |
+
"eval_precision": 0.5657657657657658,
|
978 |
+
"eval_recall": 0.7000594530321046,
|
979 |
+
"eval_runtime": 132.4797,
|
980 |
+
"eval_samples_per_second": 61.896,
|
981 |
+
"eval_steps_per_second": 0.974,
|
982 |
+
"step": 1200
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.5902439024390244,
|
986 |
+
"grad_norm": 0.06641782820224762,
|
987 |
+
"learning_rate": 4.371681415929203e-05,
|
988 |
+
"loss": 0.0252,
|
989 |
+
"step": 1210
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.5951219512195122,
|
993 |
+
"grad_norm": 0.10350623726844788,
|
994 |
+
"learning_rate": 4.3628318584070796e-05,
|
995 |
+
"loss": 0.0261,
|
996 |
+
"step": 1220
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.6,
|
1000 |
+
"grad_norm": 0.09171286225318909,
|
1001 |
+
"learning_rate": 4.353982300884956e-05,
|
1002 |
+
"loss": 0.0222,
|
1003 |
+
"step": 1230
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.6048780487804878,
|
1007 |
+
"grad_norm": 0.09831242263317108,
|
1008 |
+
"learning_rate": 4.345132743362832e-05,
|
1009 |
+
"loss": 0.0196,
|
1010 |
+
"step": 1240
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.6097560975609756,
|
1014 |
+
"grad_norm": 0.06655886769294739,
|
1015 |
+
"learning_rate": 4.3362831858407084e-05,
|
1016 |
+
"loss": 0.0214,
|
1017 |
+
"step": 1250
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.6146341463414634,
|
1021 |
+
"grad_norm": 0.10220635682344437,
|
1022 |
+
"learning_rate": 4.327433628318584e-05,
|
1023 |
+
"loss": 0.0225,
|
1024 |
+
"step": 1260
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.6195121951219512,
|
1028 |
+
"grad_norm": 0.09263930469751358,
|
1029 |
+
"learning_rate": 4.31858407079646e-05,
|
1030 |
+
"loss": 0.0237,
|
1031 |
+
"step": 1270
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.624390243902439,
|
1035 |
+
"grad_norm": 0.12217256426811218,
|
1036 |
+
"learning_rate": 4.3097345132743366e-05,
|
1037 |
+
"loss": 0.0238,
|
1038 |
+
"step": 1280
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.6292682926829268,
|
1042 |
+
"grad_norm": 0.08786381781101227,
|
1043 |
+
"learning_rate": 4.300884955752212e-05,
|
1044 |
+
"loss": 0.0217,
|
1045 |
+
"step": 1290
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.6341463414634146,
|
1049 |
+
"grad_norm": 0.06754878163337708,
|
1050 |
+
"learning_rate": 4.2920353982300885e-05,
|
1051 |
+
"loss": 0.0209,
|
1052 |
+
"step": 1300
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.6341463414634146,
|
1056 |
+
"eval_f1": 0.635122838944495,
|
1057 |
+
"eval_loss": 0.022672206163406372,
|
1058 |
+
"eval_precision": 0.5643335643335643,
|
1059 |
+
"eval_recall": 0.726218787158145,
|
1060 |
+
"eval_runtime": 132.3145,
|
1061 |
+
"eval_samples_per_second": 61.974,
|
1062 |
+
"eval_steps_per_second": 0.975,
|
1063 |
+
"step": 1300
|
1064 |
+
},
|
1065 |
+
{
|
1066 |
+
"epoch": 0.6390243902439025,
|
1067 |
+
"grad_norm": 0.07975753396749496,
|
1068 |
+
"learning_rate": 4.283185840707965e-05,
|
1069 |
+
"loss": 0.0208,
|
1070 |
+
"step": 1310
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 0.6439024390243903,
|
1074 |
+
"grad_norm": 0.10725169628858566,
|
1075 |
+
"learning_rate": 4.274336283185841e-05,
|
1076 |
+
"loss": 0.0243,
|
1077 |
+
"step": 1320
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 0.6487804878048781,
|
1081 |
+
"grad_norm": 0.07709804177284241,
|
1082 |
+
"learning_rate": 4.265486725663717e-05,
|
1083 |
+
"loss": 0.0241,
|
1084 |
+
"step": 1330
|
1085 |
+
},
|
1086 |
+
{
|
1087 |
+
"epoch": 0.6536585365853659,
|
1088 |
+
"grad_norm": 0.07307865470647812,
|
1089 |
+
"learning_rate": 4.256637168141593e-05,
|
1090 |
+
"loss": 0.0221,
|
1091 |
+
"step": 1340
|
1092 |
+
},
|
1093 |
+
{
|
1094 |
+
"epoch": 0.6585365853658537,
|
1095 |
+
"grad_norm": 0.07658623158931732,
|
1096 |
+
"learning_rate": 4.247787610619469e-05,
|
1097 |
+
"loss": 0.0216,
|
1098 |
+
"step": 1350
|
1099 |
+
},
|
1100 |
+
{
|
1101 |
+
"epoch": 0.6634146341463415,
|
1102 |
+
"grad_norm": 0.12642726302146912,
|
1103 |
+
"learning_rate": 4.2389380530973455e-05,
|
1104 |
+
"loss": 0.0247,
|
1105 |
+
"step": 1360
|
1106 |
+
},
|
1107 |
+
{
|
1108 |
+
"epoch": 0.6682926829268293,
|
1109 |
+
"grad_norm": 0.09556315094232559,
|
1110 |
+
"learning_rate": 4.230088495575221e-05,
|
1111 |
+
"loss": 0.0217,
|
1112 |
+
"step": 1370
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 0.6731707317073171,
|
1116 |
+
"grad_norm": 0.06885875016450882,
|
1117 |
+
"learning_rate": 4.2212389380530974e-05,
|
1118 |
+
"loss": 0.02,
|
1119 |
+
"step": 1380
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 0.6780487804878049,
|
1123 |
+
"grad_norm": 0.0719994455575943,
|
1124 |
+
"learning_rate": 4.2123893805309737e-05,
|
1125 |
+
"loss": 0.0214,
|
1126 |
+
"step": 1390
|
1127 |
+
},
|
1128 |
+
{
|
1129 |
+
"epoch": 0.6829268292682927,
|
1130 |
+
"grad_norm": 0.06444905698299408,
|
1131 |
+
"learning_rate": 4.20353982300885e-05,
|
1132 |
+
"loss": 0.0207,
|
1133 |
+
"step": 1400
|
1134 |
+
},
|
1135 |
+
{
|
1136 |
+
"epoch": 0.6829268292682927,
|
1137 |
+
"eval_f1": 0.6471813478465364,
|
1138 |
+
"eval_loss": 0.02256700210273266,
|
1139 |
+
"eval_precision": 0.590557939914163,
|
1140 |
+
"eval_recall": 0.7158145065398336,
|
1141 |
+
"eval_runtime": 132.1018,
|
1142 |
+
"eval_samples_per_second": 62.073,
|
1143 |
+
"eval_steps_per_second": 0.977,
|
1144 |
+
"step": 1400
|
1145 |
+
},
|
1146 |
+
{
|
1147 |
+
"epoch": 0.6878048780487804,
|
1148 |
+
"grad_norm": 0.07349838316440582,
|
1149 |
+
"learning_rate": 4.194690265486726e-05,
|
1150 |
+
"loss": 0.0225,
|
1151 |
+
"step": 1410
|
1152 |
+
},
|
1153 |
+
{
|
1154 |
+
"epoch": 0.6926829268292682,
|
1155 |
+
"grad_norm": 0.07198076695203781,
|
1156 |
+
"learning_rate": 4.185840707964602e-05,
|
1157 |
+
"loss": 0.021,
|
1158 |
+
"step": 1420
|
1159 |
+
},
|
1160 |
+
{
|
1161 |
+
"epoch": 0.697560975609756,
|
1162 |
+
"grad_norm": 0.0936046615242958,
|
1163 |
+
"learning_rate": 4.176991150442478e-05,
|
1164 |
+
"loss": 0.0252,
|
1165 |
+
"step": 1430
|
1166 |
+
},
|
1167 |
+
{
|
1168 |
+
"epoch": 0.7024390243902439,
|
1169 |
+
"grad_norm": 0.08654190599918365,
|
1170 |
+
"learning_rate": 4.1681415929203544e-05,
|
1171 |
+
"loss": 0.0218,
|
1172 |
+
"step": 1440
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 0.7073170731707317,
|
1176 |
+
"grad_norm": 0.08444487303495407,
|
1177 |
+
"learning_rate": 4.15929203539823e-05,
|
1178 |
+
"loss": 0.0267,
|
1179 |
+
"step": 1450
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 0.7121951219512195,
|
1183 |
+
"grad_norm": 0.12378791719675064,
|
1184 |
+
"learning_rate": 4.150442477876106e-05,
|
1185 |
+
"loss": 0.0233,
|
1186 |
+
"step": 1460
|
1187 |
+
},
|
1188 |
+
{
|
1189 |
+
"epoch": 0.7170731707317073,
|
1190 |
+
"grad_norm": 0.09955397993326187,
|
1191 |
+
"learning_rate": 4.1415929203539825e-05,
|
1192 |
+
"loss": 0.0253,
|
1193 |
+
"step": 1470
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 0.7219512195121951,
|
1197 |
+
"grad_norm": 0.08549737185239792,
|
1198 |
+
"learning_rate": 4.132743362831858e-05,
|
1199 |
+
"loss": 0.0252,
|
1200 |
+
"step": 1480
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 0.7268292682926829,
|
1204 |
+
"grad_norm": 0.06966210901737213,
|
1205 |
+
"learning_rate": 4.123893805309735e-05,
|
1206 |
+
"loss": 0.0242,
|
1207 |
+
"step": 1490
|
1208 |
+
},
|
1209 |
+
{
|
1210 |
+
"epoch": 0.7317073170731707,
|
1211 |
+
"grad_norm": 0.08285216242074966,
|
1212 |
+
"learning_rate": 4.115044247787611e-05,
|
1213 |
+
"loss": 0.0219,
|
1214 |
+
"step": 1500
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 0.7317073170731707,
|
1218 |
+
"eval_f1": 0.6405168738316225,
|
1219 |
+
"eval_loss": 0.022300876677036285,
|
1220 |
+
"eval_precision": 0.5732315820369827,
|
1221 |
+
"eval_recall": 0.7256985731272295,
|
1222 |
+
"eval_runtime": 132.0099,
|
1223 |
+
"eval_samples_per_second": 62.117,
|
1224 |
+
"eval_steps_per_second": 0.977,
|
1225 |
+
"step": 1500
|
1226 |
+
},
|
1227 |
+
{
|
1228 |
+
"epoch": 0.7365853658536585,
|
1229 |
+
"grad_norm": 0.10072668641805649,
|
1230 |
+
"learning_rate": 4.106194690265487e-05,
|
1231 |
+
"loss": 0.0227,
|
1232 |
+
"step": 1510
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 0.7414634146341463,
|
1236 |
+
"grad_norm": 0.10805150866508484,
|
1237 |
+
"learning_rate": 4.097345132743363e-05,
|
1238 |
+
"loss": 0.0238,
|
1239 |
+
"step": 1520
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 0.7463414634146341,
|
1243 |
+
"grad_norm": 0.06195740029215813,
|
1244 |
+
"learning_rate": 4.088495575221239e-05,
|
1245 |
+
"loss": 0.0216,
|
1246 |
+
"step": 1530
|
1247 |
+
},
|
1248 |
+
{
|
1249 |
+
"epoch": 0.751219512195122,
|
1250 |
+
"grad_norm": 0.06914755702018738,
|
1251 |
+
"learning_rate": 4.079646017699115e-05,
|
1252 |
+
"loss": 0.0215,
|
1253 |
+
"step": 1540
|
1254 |
+
},
|
1255 |
+
{
|
1256 |
+
"epoch": 0.7560975609756098,
|
1257 |
+
"grad_norm": 0.09708551317453384,
|
1258 |
+
"learning_rate": 4.0707964601769914e-05,
|
1259 |
+
"loss": 0.0205,
|
1260 |
+
"step": 1550
|
1261 |
+
},
|
1262 |
+
{
|
1263 |
+
"epoch": 0.7609756097560976,
|
1264 |
+
"grad_norm": 0.07369375228881836,
|
1265 |
+
"learning_rate": 4.061946902654867e-05,
|
1266 |
+
"loss": 0.0238,
|
1267 |
+
"step": 1560
|
1268 |
+
},
|
1269 |
+
{
|
1270 |
+
"epoch": 0.7658536585365854,
|
1271 |
+
"grad_norm": 0.07211218029260635,
|
1272 |
+
"learning_rate": 4.053097345132743e-05,
|
1273 |
+
"loss": 0.02,
|
1274 |
+
"step": 1570
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 0.7707317073170732,
|
1278 |
+
"grad_norm": 0.09262284636497498,
|
1279 |
+
"learning_rate": 4.0442477876106196e-05,
|
1280 |
+
"loss": 0.0227,
|
1281 |
+
"step": 1580
|
1282 |
+
},
|
1283 |
+
{
|
1284 |
+
"epoch": 0.775609756097561,
|
1285 |
+
"grad_norm": 0.09008630365133286,
|
1286 |
+
"learning_rate": 4.035398230088496e-05,
|
1287 |
+
"loss": 0.0228,
|
1288 |
+
"step": 1590
|
1289 |
+
},
|
1290 |
+
{
|
1291 |
+
"epoch": 0.7804878048780488,
|
1292 |
+
"grad_norm": 0.1014399379491806,
|
1293 |
+
"learning_rate": 4.026548672566372e-05,
|
1294 |
+
"loss": 0.0215,
|
1295 |
+
"step": 1600
|
1296 |
+
},
|
1297 |
+
{
|
1298 |
+
"epoch": 0.7804878048780488,
|
1299 |
+
"eval_f1": 0.637167016339246,
|
1300 |
+
"eval_loss": 0.02189124934375286,
|
1301 |
+
"eval_precision": 0.556715920453283,
|
1302 |
+
"eval_recall": 0.7447978596908442,
|
1303 |
+
"eval_runtime": 132.2243,
|
1304 |
+
"eval_samples_per_second": 62.016,
|
1305 |
+
"eval_steps_per_second": 0.976,
|
1306 |
+
"step": 1600
|
1307 |
+
},
|
1308 |
+
{
|
1309 |
+
"epoch": 0.7853658536585366,
|
1310 |
+
"grad_norm": 0.1170215755701065,
|
1311 |
+
"learning_rate": 4.017699115044248e-05,
|
1312 |
+
"loss": 0.025,
|
1313 |
+
"step": 1610
|
1314 |
+
},
|
1315 |
+
{
|
1316 |
+
"epoch": 0.7902439024390244,
|
1317 |
+
"grad_norm": 0.07999496906995773,
|
1318 |
+
"learning_rate": 4.008849557522124e-05,
|
1319 |
+
"loss": 0.0237,
|
1320 |
+
"step": 1620
|
1321 |
+
},
|
1322 |
+
{
|
1323 |
+
"epoch": 0.7951219512195122,
|
1324 |
+
"grad_norm": 0.08684638142585754,
|
1325 |
+
"learning_rate": 4e-05,
|
1326 |
+
"loss": 0.0261,
|
1327 |
+
"step": 1630
|
1328 |
+
},
|
1329 |
+
{
|
1330 |
+
"epoch": 0.8,
|
1331 |
+
"grad_norm": 0.06762222945690155,
|
1332 |
+
"learning_rate": 3.991150442477876e-05,
|
1333 |
+
"loss": 0.0232,
|
1334 |
+
"step": 1640
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 0.8048780487804879,
|
1338 |
+
"grad_norm": 0.08543413132429123,
|
1339 |
+
"learning_rate": 3.982300884955752e-05,
|
1340 |
+
"loss": 0.0225,
|
1341 |
+
"step": 1650
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 0.8097560975609757,
|
1345 |
+
"grad_norm": 0.09491296857595444,
|
1346 |
+
"learning_rate": 3.9734513274336285e-05,
|
1347 |
+
"loss": 0.0221,
|
1348 |
+
"step": 1660
|
1349 |
+
},
|
1350 |
+
{
|
1351 |
+
"epoch": 0.8146341463414634,
|
1352 |
+
"grad_norm": 0.06884954869747162,
|
1353 |
+
"learning_rate": 3.964601769911505e-05,
|
1354 |
+
"loss": 0.0221,
|
1355 |
+
"step": 1670
|
1356 |
+
},
|
1357 |
+
{
|
1358 |
+
"epoch": 0.8195121951219512,
|
1359 |
+
"grad_norm": 0.10209941118955612,
|
1360 |
+
"learning_rate": 3.955752212389381e-05,
|
1361 |
+
"loss": 0.025,
|
1362 |
+
"step": 1680
|
1363 |
+
},
|
1364 |
+
{
|
1365 |
+
"epoch": 0.824390243902439,
|
1366 |
+
"grad_norm": 0.06364341080188751,
|
1367 |
+
"learning_rate": 3.9469026548672567e-05,
|
1368 |
+
"loss": 0.0197,
|
1369 |
+
"step": 1690
|
1370 |
+
},
|
1371 |
+
{
|
1372 |
+
"epoch": 0.8292682926829268,
|
1373 |
+
"grad_norm": 0.10673107206821442,
|
1374 |
+
"learning_rate": 3.938053097345133e-05,
|
1375 |
+
"loss": 0.0199,
|
1376 |
+
"step": 1700
|
1377 |
+
},
|
1378 |
+
{
|
1379 |
+
"epoch": 0.8292682926829268,
|
1380 |
+
"eval_f1": 0.6390703962403836,
|
1381 |
+
"eval_loss": 0.021866334602236748,
|
1382 |
+
"eval_precision": 0.5636817897904719,
|
1383 |
+
"eval_recall": 0.7377378121284186,
|
1384 |
+
"eval_runtime": 132.1953,
|
1385 |
+
"eval_samples_per_second": 62.029,
|
1386 |
+
"eval_steps_per_second": 0.976,
|
1387 |
+
"step": 1700
|
1388 |
+
},
|
1389 |
+
{
|
1390 |
+
"epoch": 0.8341463414634146,
|
1391 |
+
"grad_norm": 0.08173991739749908,
|
1392 |
+
"learning_rate": 3.929203539823009e-05,
|
1393 |
+
"loss": 0.0217,
|
1394 |
+
"step": 1710
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 0.8390243902439024,
|
1398 |
+
"grad_norm": 0.09340299665927887,
|
1399 |
+
"learning_rate": 3.920353982300885e-05,
|
1400 |
+
"loss": 0.0218,
|
1401 |
+
"step": 1720
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 0.8439024390243902,
|
1405 |
+
"grad_norm": 0.08972273021936417,
|
1406 |
+
"learning_rate": 3.911504424778761e-05,
|
1407 |
+
"loss": 0.0178,
|
1408 |
+
"step": 1730
|
1409 |
+
},
|
1410 |
+
{
|
1411 |
+
"epoch": 0.848780487804878,
|
1412 |
+
"grad_norm": 0.11011021584272385,
|
1413 |
+
"learning_rate": 3.9026548672566374e-05,
|
1414 |
+
"loss": 0.0282,
|
1415 |
+
"step": 1740
|
1416 |
+
},
|
1417 |
+
{
|
1418 |
+
"epoch": 0.8536585365853658,
|
1419 |
+
"grad_norm": 0.1096154972910881,
|
1420 |
+
"learning_rate": 3.893805309734514e-05,
|
1421 |
+
"loss": 0.0244,
|
1422 |
+
"step": 1750
|
1423 |
+
},
|
1424 |
+
{
|
1425 |
+
"epoch": 0.8585365853658536,
|
1426 |
+
"grad_norm": 0.08531954139471054,
|
1427 |
+
"learning_rate": 3.88495575221239e-05,
|
1428 |
+
"loss": 0.0217,
|
1429 |
+
"step": 1760
|
1430 |
+
},
|
1431 |
+
{
|
1432 |
+
"epoch": 0.8634146341463415,
|
1433 |
+
"grad_norm": 0.1026742234826088,
|
1434 |
+
"learning_rate": 3.8761061946902655e-05,
|
1435 |
+
"loss": 0.0199,
|
1436 |
+
"step": 1770
|
1437 |
+
},
|
1438 |
+
{
|
1439 |
+
"epoch": 0.8682926829268293,
|
1440 |
+
"grad_norm": 0.06563183665275574,
|
1441 |
+
"learning_rate": 3.867256637168142e-05,
|
1442 |
+
"loss": 0.0185,
|
1443 |
+
"step": 1780
|
1444 |
+
},
|
1445 |
+
{
|
1446 |
+
"epoch": 0.8731707317073171,
|
1447 |
+
"grad_norm": 0.07869338989257812,
|
1448 |
+
"learning_rate": 3.858407079646018e-05,
|
1449 |
+
"loss": 0.0235,
|
1450 |
+
"step": 1790
|
1451 |
+
},
|
1452 |
+
{
|
1453 |
+
"epoch": 0.8780487804878049,
|
1454 |
+
"grad_norm": 0.08610737323760986,
|
1455 |
+
"learning_rate": 3.849557522123894e-05,
|
1456 |
+
"loss": 0.0193,
|
1457 |
+
"step": 1800
|
1458 |
+
},
|
1459 |
+
{
|
1460 |
+
"epoch": 0.8780487804878049,
|
1461 |
+
"eval_f1": 0.6328935570641732,
|
1462 |
+
"eval_loss": 0.022152401506900787,
|
1463 |
+
"eval_precision": 0.5560432140445645,
|
1464 |
+
"eval_recall": 0.7343935790725327,
|
1465 |
+
"eval_runtime": 132.0266,
|
1466 |
+
"eval_samples_per_second": 62.109,
|
1467 |
+
"eval_steps_per_second": 0.977,
|
1468 |
+
"step": 1800
|
1469 |
+
},
|
1470 |
+
{
|
1471 |
+
"epoch": 0.8829268292682927,
|
1472 |
+
"grad_norm": 0.09815912693738937,
|
1473 |
+
"learning_rate": 3.84070796460177e-05,
|
1474 |
+
"loss": 0.0179,
|
1475 |
+
"step": 1810
|
1476 |
+
},
|
1477 |
+
{
|
1478 |
+
"epoch": 0.8878048780487805,
|
1479 |
+
"grad_norm": 0.06768873333930969,
|
1480 |
+
"learning_rate": 3.831858407079646e-05,
|
1481 |
+
"loss": 0.0219,
|
1482 |
+
"step": 1820
|
1483 |
+
},
|
1484 |
+
{
|
1485 |
+
"epoch": 0.8926829268292683,
|
1486 |
+
"grad_norm": 0.09629742056131363,
|
1487 |
+
"learning_rate": 3.8230088495575226e-05,
|
1488 |
+
"loss": 0.0212,
|
1489 |
+
"step": 1830
|
1490 |
+
},
|
1491 |
+
{
|
1492 |
+
"epoch": 0.8975609756097561,
|
1493 |
+
"grad_norm": 0.0719202533364296,
|
1494 |
+
"learning_rate": 3.814159292035399e-05,
|
1495 |
+
"loss": 0.0221,
|
1496 |
+
"step": 1840
|
1497 |
+
},
|
1498 |
+
{
|
1499 |
+
"epoch": 0.9024390243902439,
|
1500 |
+
"grad_norm": 0.09463170170783997,
|
1501 |
+
"learning_rate": 3.8053097345132744e-05,
|
1502 |
+
"loss": 0.0233,
|
1503 |
+
"step": 1850
|
1504 |
+
},
|
1505 |
+
{
|
1506 |
+
"epoch": 0.9073170731707317,
|
1507 |
+
"grad_norm": 0.08261518180370331,
|
1508 |
+
"learning_rate": 3.796460176991151e-05,
|
1509 |
+
"loss": 0.0205,
|
1510 |
+
"step": 1860
|
1511 |
+
},
|
1512 |
+
{
|
1513 |
+
"epoch": 0.9121951219512195,
|
1514 |
+
"grad_norm": 0.09188443422317505,
|
1515 |
+
"learning_rate": 3.787610619469027e-05,
|
1516 |
+
"loss": 0.0186,
|
1517 |
+
"step": 1870
|
1518 |
+
},
|
1519 |
+
{
|
1520 |
+
"epoch": 0.9170731707317074,
|
1521 |
+
"grad_norm": 0.0914570763707161,
|
1522 |
+
"learning_rate": 3.7787610619469026e-05,
|
1523 |
+
"loss": 0.0207,
|
1524 |
+
"step": 1880
|
1525 |
+
},
|
1526 |
+
{
|
1527 |
+
"epoch": 0.9219512195121952,
|
1528 |
+
"grad_norm": 0.0840875431895256,
|
1529 |
+
"learning_rate": 3.769911504424779e-05,
|
1530 |
+
"loss": 0.0225,
|
1531 |
+
"step": 1890
|
1532 |
+
},
|
1533 |
+
{
|
1534 |
+
"epoch": 0.926829268292683,
|
1535 |
+
"grad_norm": 0.0681457445025444,
|
1536 |
+
"learning_rate": 3.7610619469026545e-05,
|
1537 |
+
"loss": 0.0216,
|
1538 |
+
"step": 1900
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 0.926829268292683,
|
1542 |
+
"eval_f1": 0.6448713774014979,
|
1543 |
+
"eval_loss": 0.021633492782711983,
|
1544 |
+
"eval_precision": 0.5738959081952011,
|
1545 |
+
"eval_recall": 0.7358799048751486,
|
1546 |
+
"eval_runtime": 132.1734,
|
1547 |
+
"eval_samples_per_second": 62.04,
|
1548 |
+
"eval_steps_per_second": 0.976,
|
1549 |
+
"step": 1900
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.9317073170731708,
|
1553 |
+
"grad_norm": 0.07665237784385681,
|
1554 |
+
"learning_rate": 3.752212389380531e-05,
|
1555 |
+
"loss": 0.0231,
|
1556 |
+
"step": 1910
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.9365853658536586,
|
1560 |
+
"grad_norm": 0.12333638221025467,
|
1561 |
+
"learning_rate": 3.743362831858408e-05,
|
1562 |
+
"loss": 0.0244,
|
1563 |
+
"step": 1920
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.9414634146341463,
|
1567 |
+
"grad_norm": 0.05435947701334953,
|
1568 |
+
"learning_rate": 3.734513274336283e-05,
|
1569 |
+
"loss": 0.0209,
|
1570 |
+
"step": 1930
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.9463414634146341,
|
1574 |
+
"grad_norm": 0.09085798263549805,
|
1575 |
+
"learning_rate": 3.7256637168141596e-05,
|
1576 |
+
"loss": 0.0212,
|
1577 |
+
"step": 1940
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.9512195121951219,
|
1581 |
+
"grad_norm": 0.11483143270015717,
|
1582 |
+
"learning_rate": 3.716814159292036e-05,
|
1583 |
+
"loss": 0.0213,
|
1584 |
+
"step": 1950
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.9560975609756097,
|
1588 |
+
"grad_norm": 0.06926431506872177,
|
1589 |
+
"learning_rate": 3.7079646017699115e-05,
|
1590 |
+
"loss": 0.0203,
|
1591 |
+
"step": 1960
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.9609756097560975,
|
1595 |
+
"grad_norm": 0.1061626598238945,
|
1596 |
+
"learning_rate": 3.699115044247788e-05,
|
1597 |
+
"loss": 0.0227,
|
1598 |
+
"step": 1970
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.9658536585365853,
|
1602 |
+
"grad_norm": 0.09048457443714142,
|
1603 |
+
"learning_rate": 3.6902654867256634e-05,
|
1604 |
+
"loss": 0.0229,
|
1605 |
+
"step": 1980
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.9707317073170731,
|
1609 |
+
"grad_norm": 0.09511193633079529,
|
1610 |
+
"learning_rate": 3.68141592920354e-05,
|
1611 |
+
"loss": 0.0216,
|
1612 |
+
"step": 1990
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.975609756097561,
|
1616 |
+
"grad_norm": 0.091468945145607,
|
1617 |
+
"learning_rate": 3.672566371681416e-05,
|
1618 |
+
"loss": 0.0168,
|
1619 |
+
"step": 2000
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.975609756097561,
|
1623 |
+
"eval_f1": 0.6518885040409038,
|
1624 |
+
"eval_loss": 0.021417897194623947,
|
1625 |
+
"eval_precision": 0.5860964470016016,
|
1626 |
+
"eval_recall": 0.7343192627824019,
|
1627 |
+
"eval_runtime": 131.7709,
|
1628 |
+
"eval_samples_per_second": 62.229,
|
1629 |
+
"eval_steps_per_second": 0.979,
|
1630 |
+
"step": 2000
|
1631 |
+
},
|
1632 |
+
{
|
1633 |
+
"epoch": 0.9804878048780488,
|
1634 |
+
"grad_norm": 0.09001079201698303,
|
1635 |
+
"learning_rate": 3.663716814159292e-05,
|
1636 |
+
"loss": 0.0192,
|
1637 |
+
"step": 2010
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 0.9853658536585366,
|
1641 |
+
"grad_norm": 0.10538368672132492,
|
1642 |
+
"learning_rate": 3.6548672566371685e-05,
|
1643 |
+
"loss": 0.0228,
|
1644 |
+
"step": 2020
|
1645 |
+
},
|
1646 |
+
{
|
1647 |
+
"epoch": 0.9902439024390244,
|
1648 |
+
"grad_norm": 0.08615951985120773,
|
1649 |
+
"learning_rate": 3.646017699115045e-05,
|
1650 |
+
"loss": 0.0238,
|
1651 |
+
"step": 2030
|
1652 |
+
},
|
1653 |
+
{
|
1654 |
+
"epoch": 0.9951219512195122,
|
1655 |
+
"grad_norm": 0.0890466719865799,
|
1656 |
+
"learning_rate": 3.6371681415929204e-05,
|
1657 |
+
"loss": 0.0218,
|
1658 |
+
"step": 2040
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 1.0,
|
1662 |
+
"grad_norm": 0.08089441806077957,
|
1663 |
+
"learning_rate": 3.628318584070797e-05,
|
1664 |
+
"loss": 0.0204,
|
1665 |
+
"step": 2050
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 1.0048780487804878,
|
1669 |
+
"grad_norm": 0.09391944855451584,
|
1670 |
+
"learning_rate": 3.619469026548672e-05,
|
1671 |
+
"loss": 0.0213,
|
1672 |
+
"step": 2060
|
1673 |
+
},
|
1674 |
+
{
|
1675 |
+
"epoch": 1.0097560975609756,
|
1676 |
+
"grad_norm": 0.059187982231378555,
|
1677 |
+
"learning_rate": 3.6106194690265486e-05,
|
1678 |
+
"loss": 0.0197,
|
1679 |
+
"step": 2070
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 1.0146341463414634,
|
1683 |
+
"grad_norm": 0.07538473606109619,
|
1684 |
+
"learning_rate": 3.601769911504425e-05,
|
1685 |
+
"loss": 0.0227,
|
1686 |
+
"step": 2080
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"epoch": 1.0195121951219512,
|
1690 |
+
"grad_norm": 0.0840989351272583,
|
1691 |
+
"learning_rate": 3.592920353982301e-05,
|
1692 |
+
"loss": 0.0205,
|
1693 |
+
"step": 2090
|
1694 |
+
},
|
1695 |
+
{
|
1696 |
+
"epoch": 1.024390243902439,
|
1697 |
+
"grad_norm": 0.11819695681333542,
|
1698 |
+
"learning_rate": 3.5840707964601774e-05,
|
1699 |
+
"loss": 0.0214,
|
1700 |
+
"step": 2100
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 1.024390243902439,
|
1704 |
+
"eval_f1": 0.6467788814717813,
|
1705 |
+
"eval_loss": 0.020904576405882835,
|
1706 |
+
"eval_precision": 0.5671315745252898,
|
1707 |
+
"eval_recall": 0.7524524375743162,
|
1708 |
+
"eval_runtime": 132.2697,
|
1709 |
+
"eval_samples_per_second": 61.995,
|
1710 |
+
"eval_steps_per_second": 0.975,
|
1711 |
+
"step": 2100
|
1712 |
+
},
|
1713 |
+
{
|
1714 |
+
"epoch": 1.0292682926829269,
|
1715 |
+
"grad_norm": 0.121103934943676,
|
1716 |
+
"learning_rate": 3.575221238938054e-05,
|
1717 |
+
"loss": 0.0196,
|
1718 |
+
"step": 2110
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 1.0341463414634147,
|
1722 |
+
"grad_norm": 0.0714835524559021,
|
1723 |
+
"learning_rate": 3.566371681415929e-05,
|
1724 |
+
"loss": 0.0193,
|
1725 |
+
"step": 2120
|
1726 |
+
},
|
1727 |
+
{
|
1728 |
+
"epoch": 1.0390243902439025,
|
1729 |
+
"grad_norm": 0.07826493680477142,
|
1730 |
+
"learning_rate": 3.5575221238938056e-05,
|
1731 |
+
"loss": 0.0202,
|
1732 |
+
"step": 2130
|
1733 |
+
},
|
1734 |
+
{
|
1735 |
+
"epoch": 1.0439024390243903,
|
1736 |
+
"grad_norm": 0.0855259820818901,
|
1737 |
+
"learning_rate": 3.548672566371681e-05,
|
1738 |
+
"loss": 0.0217,
|
1739 |
+
"step": 2140
|
1740 |
+
},
|
1741 |
+
{
|
1742 |
+
"epoch": 1.048780487804878,
|
1743 |
+
"grad_norm": 0.07726403325796127,
|
1744 |
+
"learning_rate": 3.5398230088495574e-05,
|
1745 |
+
"loss": 0.0213,
|
1746 |
+
"step": 2150
|
1747 |
+
},
|
1748 |
+
{
|
1749 |
+
"epoch": 1.053658536585366,
|
1750 |
+
"grad_norm": 0.09908368438482285,
|
1751 |
+
"learning_rate": 3.530973451327434e-05,
|
1752 |
+
"loss": 0.0186,
|
1753 |
+
"step": 2160
|
1754 |
+
},
|
1755 |
+
{
|
1756 |
+
"epoch": 1.0585365853658537,
|
1757 |
+
"grad_norm": 0.08559077978134155,
|
1758 |
+
"learning_rate": 3.52212389380531e-05,
|
1759 |
+
"loss": 0.0205,
|
1760 |
+
"step": 2170
|
1761 |
+
},
|
1762 |
+
{
|
1763 |
+
"epoch": 1.0634146341463415,
|
1764 |
+
"grad_norm": 0.09128253161907196,
|
1765 |
+
"learning_rate": 3.513274336283186e-05,
|
1766 |
+
"loss": 0.0247,
|
1767 |
+
"step": 2180
|
1768 |
+
},
|
1769 |
+
{
|
1770 |
+
"epoch": 1.0682926829268293,
|
1771 |
+
"grad_norm": 0.08086485415697098,
|
1772 |
+
"learning_rate": 3.5044247787610626e-05,
|
1773 |
+
"loss": 0.0209,
|
1774 |
+
"step": 2190
|
1775 |
+
},
|
1776 |
+
{
|
1777 |
+
"epoch": 1.0731707317073171,
|
1778 |
+
"grad_norm": 0.08016868680715561,
|
1779 |
+
"learning_rate": 3.495575221238938e-05,
|
1780 |
+
"loss": 0.0205,
|
1781 |
+
"step": 2200
|
1782 |
+
},
|
1783 |
+
{
|
1784 |
+
"epoch": 1.0731707317073171,
|
1785 |
+
"eval_f1": 0.633068352720911,
|
1786 |
+
"eval_loss": 0.020948156714439392,
|
1787 |
+
"eval_precision": 0.5392418300653595,
|
1788 |
+
"eval_recall": 0.766423900118906,
|
1789 |
+
"eval_runtime": 132.144,
|
1790 |
+
"eval_samples_per_second": 62.054,
|
1791 |
+
"eval_steps_per_second": 0.976,
|
1792 |
+
"step": 2200
|
1793 |
+
},
|
1794 |
+
{
|
1795 |
+
"epoch": 1.078048780487805,
|
1796 |
+
"grad_norm": 0.08863110840320587,
|
1797 |
+
"learning_rate": 3.4867256637168145e-05,
|
1798 |
+
"loss": 0.021,
|
1799 |
+
"step": 2210
|
1800 |
+
},
|
1801 |
+
{
|
1802 |
+
"epoch": 1.0829268292682928,
|
1803 |
+
"grad_norm": 0.07697419077157974,
|
1804 |
+
"learning_rate": 3.47787610619469e-05,
|
1805 |
+
"loss": 0.0222,
|
1806 |
+
"step": 2220
|
1807 |
+
},
|
1808 |
+
{
|
1809 |
+
"epoch": 1.0878048780487806,
|
1810 |
+
"grad_norm": 0.07876092195510864,
|
1811 |
+
"learning_rate": 3.469026548672566e-05,
|
1812 |
+
"loss": 0.0176,
|
1813 |
+
"step": 2230
|
1814 |
+
},
|
1815 |
+
{
|
1816 |
+
"epoch": 1.0926829268292684,
|
1817 |
+
"grad_norm": 0.08885340392589569,
|
1818 |
+
"learning_rate": 3.4601769911504426e-05,
|
1819 |
+
"loss": 0.0183,
|
1820 |
+
"step": 2240
|
1821 |
+
},
|
1822 |
+
{
|
1823 |
+
"epoch": 1.0975609756097562,
|
1824 |
+
"grad_norm": 0.08264743536710739,
|
1825 |
+
"learning_rate": 3.451327433628319e-05,
|
1826 |
+
"loss": 0.0212,
|
1827 |
+
"step": 2250
|
1828 |
+
},
|
1829 |
+
{
|
1830 |
+
"epoch": 1.102439024390244,
|
1831 |
+
"grad_norm": 0.06534498184919357,
|
1832 |
+
"learning_rate": 3.442477876106195e-05,
|
1833 |
+
"loss": 0.018,
|
1834 |
+
"step": 2260
|
1835 |
+
},
|
1836 |
+
{
|
1837 |
+
"epoch": 1.1073170731707318,
|
1838 |
+
"grad_norm": 0.08914489299058914,
|
1839 |
+
"learning_rate": 3.4336283185840715e-05,
|
1840 |
+
"loss": 0.0201,
|
1841 |
+
"step": 2270
|
1842 |
+
},
|
1843 |
+
{
|
1844 |
+
"epoch": 1.1121951219512196,
|
1845 |
+
"grad_norm": 0.07213272899389267,
|
1846 |
+
"learning_rate": 3.424778761061947e-05,
|
1847 |
+
"loss": 0.0145,
|
1848 |
+
"step": 2280
|
1849 |
+
},
|
1850 |
+
{
|
1851 |
+
"epoch": 1.1170731707317074,
|
1852 |
+
"grad_norm": 0.07594022899866104,
|
1853 |
+
"learning_rate": 3.4159292035398233e-05,
|
1854 |
+
"loss": 0.0201,
|
1855 |
+
"step": 2290
|
1856 |
+
},
|
1857 |
+
{
|
1858 |
+
"epoch": 1.1219512195121952,
|
1859 |
+
"grad_norm": 0.06026766449213028,
|
1860 |
+
"learning_rate": 3.407079646017699e-05,
|
1861 |
+
"loss": 0.019,
|
1862 |
+
"step": 2300
|
1863 |
+
},
|
1864 |
+
{
|
1865 |
+
"epoch": 1.1219512195121952,
|
1866 |
+
"eval_f1": 0.6488888888888888,
|
1867 |
+
"eval_loss": 0.020637808367609978,
|
1868 |
+
"eval_precision": 0.569448341657781,
|
1869 |
+
"eval_recall": 0.7540873959571938,
|
1870 |
+
"eval_runtime": 132.2303,
|
1871 |
+
"eval_samples_per_second": 62.013,
|
1872 |
+
"eval_steps_per_second": 0.976,
|
1873 |
+
"step": 2300
|
1874 |
+
},
|
1875 |
+
{
|
1876 |
+
"epoch": 1.126829268292683,
|
1877 |
+
"grad_norm": 0.08499179780483246,
|
1878 |
+
"learning_rate": 3.398230088495575e-05,
|
1879 |
+
"loss": 0.0197,
|
1880 |
+
"step": 2310
|
1881 |
+
},
|
1882 |
+
{
|
1883 |
+
"epoch": 1.1317073170731708,
|
1884 |
+
"grad_norm": 0.09881128370761871,
|
1885 |
+
"learning_rate": 3.3893805309734515e-05,
|
1886 |
+
"loss": 0.0194,
|
1887 |
+
"step": 2320
|
1888 |
+
},
|
1889 |
+
{
|
1890 |
+
"epoch": 1.1365853658536587,
|
1891 |
+
"grad_norm": 0.06719642132520676,
|
1892 |
+
"learning_rate": 3.380530973451327e-05,
|
1893 |
+
"loss": 0.0202,
|
1894 |
+
"step": 2330
|
1895 |
+
},
|
1896 |
+
{
|
1897 |
+
"epoch": 1.1414634146341462,
|
1898 |
+
"grad_norm": 0.10720915347337723,
|
1899 |
+
"learning_rate": 3.3716814159292034e-05,
|
1900 |
+
"loss": 0.0165,
|
1901 |
+
"step": 2340
|
1902 |
+
},
|
1903 |
+
{
|
1904 |
+
"epoch": 1.146341463414634,
|
1905 |
+
"grad_norm": 0.06894739717245102,
|
1906 |
+
"learning_rate": 3.3628318584070804e-05,
|
1907 |
+
"loss": 0.0164,
|
1908 |
+
"step": 2350
|
1909 |
+
},
|
1910 |
+
{
|
1911 |
+
"epoch": 1.1512195121951219,
|
1912 |
+
"grad_norm": 0.0639248788356781,
|
1913 |
+
"learning_rate": 3.353982300884956e-05,
|
1914 |
+
"loss": 0.0217,
|
1915 |
+
"step": 2360
|
1916 |
+
},
|
1917 |
+
{
|
1918 |
+
"epoch": 1.1560975609756097,
|
1919 |
+
"grad_norm": 0.044793836772441864,
|
1920 |
+
"learning_rate": 3.345132743362832e-05,
|
1921 |
+
"loss": 0.0197,
|
1922 |
+
"step": 2370
|
1923 |
+
},
|
1924 |
+
{
|
1925 |
+
"epoch": 1.1609756097560975,
|
1926 |
+
"grad_norm": 0.0624634325504303,
|
1927 |
+
"learning_rate": 3.336283185840708e-05,
|
1928 |
+
"loss": 0.0202,
|
1929 |
+
"step": 2380
|
1930 |
+
},
|
1931 |
+
{
|
1932 |
+
"epoch": 1.1658536585365853,
|
1933 |
+
"grad_norm": 0.12909162044525146,
|
1934 |
+
"learning_rate": 3.327433628318584e-05,
|
1935 |
+
"loss": 0.0195,
|
1936 |
+
"step": 2390
|
1937 |
+
},
|
1938 |
+
{
|
1939 |
+
"epoch": 1.170731707317073,
|
1940 |
+
"grad_norm": 0.0766359269618988,
|
1941 |
+
"learning_rate": 3.3185840707964604e-05,
|
1942 |
+
"loss": 0.0208,
|
1943 |
+
"step": 2400
|
1944 |
+
},
|
1945 |
+
{
|
1946 |
+
"epoch": 1.170731707317073,
|
1947 |
+
"eval_f1": 0.6382413782457007,
|
1948 |
+
"eval_loss": 0.02069213055074215,
|
1949 |
+
"eval_precision": 0.5459251043152168,
|
1950 |
+
"eval_recall": 0.7681331747919143,
|
1951 |
+
"eval_runtime": 131.9061,
|
1952 |
+
"eval_samples_per_second": 62.165,
|
1953 |
+
"eval_steps_per_second": 0.978,
|
1954 |
+
"step": 2400
|
1955 |
+
},
|
1956 |
+
{
|
1957 |
+
"epoch": 1.175609756097561,
|
1958 |
+
"grad_norm": 0.1002466231584549,
|
1959 |
+
"learning_rate": 3.309734513274336e-05,
|
1960 |
+
"loss": 0.0198,
|
1961 |
+
"step": 2410
|
1962 |
+
},
|
1963 |
+
{
|
1964 |
+
"epoch": 1.1804878048780487,
|
1965 |
+
"grad_norm": 0.09123210608959198,
|
1966 |
+
"learning_rate": 3.300884955752212e-05,
|
1967 |
+
"loss": 0.0167,
|
1968 |
+
"step": 2420
|
1969 |
+
},
|
1970 |
+
{
|
1971 |
+
"epoch": 1.1853658536585365,
|
1972 |
+
"grad_norm": 0.08641325682401657,
|
1973 |
+
"learning_rate": 3.2920353982300886e-05,
|
1974 |
+
"loss": 0.0225,
|
1975 |
+
"step": 2430
|
1976 |
+
},
|
1977 |
+
{
|
1978 |
+
"epoch": 1.1902439024390243,
|
1979 |
+
"grad_norm": 0.06566398590803146,
|
1980 |
+
"learning_rate": 3.283185840707965e-05,
|
1981 |
+
"loss": 0.0177,
|
1982 |
+
"step": 2440
|
1983 |
+
},
|
1984 |
+
{
|
1985 |
+
"epoch": 1.1951219512195121,
|
1986 |
+
"grad_norm": 0.06867921352386475,
|
1987 |
+
"learning_rate": 3.274336283185841e-05,
|
1988 |
+
"loss": 0.02,
|
1989 |
+
"step": 2450
|
1990 |
+
},
|
1991 |
+
{
|
1992 |
+
"epoch": 1.2,
|
1993 |
+
"grad_norm": 0.0619225949048996,
|
1994 |
+
"learning_rate": 3.265486725663717e-05,
|
1995 |
+
"loss": 0.0203,
|
1996 |
+
"step": 2460
|
1997 |
+
},
|
1998 |
+
{
|
1999 |
+
"epoch": 1.2048780487804878,
|
2000 |
+
"grad_norm": 0.07883109152317047,
|
2001 |
+
"learning_rate": 3.256637168141593e-05,
|
2002 |
+
"loss": 0.0199,
|
2003 |
+
"step": 2470
|
2004 |
+
},
|
2005 |
+
{
|
2006 |
+
"epoch": 1.2097560975609756,
|
2007 |
+
"grad_norm": 0.09298081696033478,
|
2008 |
+
"learning_rate": 3.247787610619469e-05,
|
2009 |
+
"loss": 0.0191,
|
2010 |
+
"step": 2480
|
2011 |
+
},
|
2012 |
+
{
|
2013 |
+
"epoch": 1.2146341463414634,
|
2014 |
+
"grad_norm": 0.06301239132881165,
|
2015 |
+
"learning_rate": 3.238938053097345e-05,
|
2016 |
+
"loss": 0.0212,
|
2017 |
+
"step": 2490
|
2018 |
+
},
|
2019 |
+
{
|
2020 |
+
"epoch": 1.2195121951219512,
|
2021 |
+
"grad_norm": 0.06936347484588623,
|
2022 |
+
"learning_rate": 3.230088495575221e-05,
|
2023 |
+
"loss": 0.0203,
|
2024 |
+
"step": 2500
|
2025 |
+
},
|
2026 |
+
{
|
2027 |
+
"epoch": 1.2195121951219512,
|
2028 |
+
"eval_f1": 0.6559016016048936,
|
2029 |
+
"eval_loss": 0.020873118191957474,
|
2030 |
+
"eval_precision": 0.5882838770574007,
|
2031 |
+
"eval_recall": 0.7410820451843044,
|
2032 |
+
"eval_runtime": 132.0933,
|
2033 |
+
"eval_samples_per_second": 62.077,
|
2034 |
+
"eval_steps_per_second": 0.977,
|
2035 |
+
"step": 2500
|
2036 |
+
}
|
2037 |
+
],
|
2038 |
+
"logging_steps": 10,
|
2039 |
+
"max_steps": 6150,
|
2040 |
+
"num_input_tokens_seen": 0,
|
2041 |
+
"num_train_epochs": 3,
|
2042 |
+
"save_steps": 100,
|
2043 |
+
"stateful_callbacks": {
|
2044 |
+
"TrainerControl": {
|
2045 |
+
"args": {
|
2046 |
+
"should_epoch_stop": false,
|
2047 |
+
"should_evaluate": false,
|
2048 |
+
"should_log": false,
|
2049 |
+
"should_save": true,
|
2050 |
+
"should_training_stop": false
|
2051 |
+
},
|
2052 |
+
"attributes": {}
|
2053 |
+
}
|
2054 |
+
},
|
2055 |
+
"total_flos": 5311547228160000.0,
|
2056 |
+
"train_batch_size": 16,
|
2057 |
+
"trial_name": null,
|
2058 |
+
"trial_params": null
|
2059 |
+
}
|
checkpoint/training_args (3).bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1203db0f020cb25414a56ea03da2c22cf2f3a145b30e0c1f82662247b998d06b
|
3 |
+
size 5304
|