End of training
Browse files
README.md
CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
|
17 |
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
-
- Loss: 0.
|
20 |
|
21 |
## Model description
|
22 |
|
@@ -50,26 +50,26 @@ The following hyperparameters were used during training:
|
|
50 |
|
51 |
| Training Loss | Epoch | Step | Validation Loss |
|
52 |
|:-------------:|:-----:|:----:|:---------------:|
|
53 |
-
| 2.
|
54 |
-
| 1.
|
55 |
-
| 0.
|
56 |
-
| 0.
|
57 |
-
| 0.
|
58 |
-
| 0.
|
59 |
-
| 0.
|
60 |
-
| 0.
|
61 |
-
| 0.
|
62 |
-
| 0.
|
63 |
-
| 0.
|
64 |
-
| 0.
|
65 |
-
| 0.
|
66 |
-
| 0.
|
67 |
-
| 0.
|
68 |
-
| 0.
|
69 |
-
| 0.
|
70 |
-
| 0.
|
71 |
-
| 0.
|
72 |
-
| 0.
|
73 |
|
74 |
|
75 |
### Framework versions
|
|
|
16 |
|
17 |
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
+
- Loss: 0.4620
|
20 |
|
21 |
## Model description
|
22 |
|
|
|
50 |
|
51 |
| Training Loss | Epoch | Step | Validation Loss |
|
52 |
|:-------------:|:-----:|:----:|:---------------:|
|
53 |
+
| 2.1604 | 0.04 | 20 | 1.9793 |
|
54 |
+
| 1.1151 | 0.07 | 40 | 0.8205 |
|
55 |
+
| 0.8219 | 0.11 | 60 | 0.6630 |
|
56 |
+
| 0.5871 | 0.14 | 80 | 0.5909 |
|
57 |
+
| 0.4129 | 0.18 | 100 | 0.5730 |
|
58 |
+
| 0.5695 | 0.22 | 120 | 0.5218 |
|
59 |
+
| 0.4224 | 0.25 | 140 | 0.5122 |
|
60 |
+
| 0.6429 | 0.29 | 160 | 0.5232 |
|
61 |
+
| 0.4826 | 0.33 | 180 | 0.4914 |
|
62 |
+
| 0.3566 | 0.36 | 200 | 0.5035 |
|
63 |
+
| 0.5297 | 0.4 | 220 | 0.4846 |
|
64 |
+
| 0.4034 | 0.43 | 240 | 0.4812 |
|
65 |
+
| 0.6001 | 0.47 | 260 | 0.4841 |
|
66 |
+
| 0.4673 | 0.51 | 280 | 0.4717 |
|
67 |
+
| 0.3482 | 0.54 | 300 | 0.4801 |
|
68 |
+
| 0.5158 | 0.58 | 320 | 0.4717 |
|
69 |
+
| 0.3967 | 0.62 | 340 | 0.4658 |
|
70 |
+
| 0.5728 | 0.65 | 360 | 0.4661 |
|
71 |
+
| 0.4584 | 0.69 | 380 | 0.4630 |
|
72 |
+
| 0.3529 | 0.72 | 400 | 0.4620 |
|
73 |
|
74 |
|
75 |
### Framework versions
|