End of training

README.md

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+---
+library_name: transformers
+language:
+- jav
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- SLR35
+metrics:
+- wer
+model-index:
+- name: Whisper Small Java
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: SLR Javanenese
+      type: SLR35
+      args: 'config: java, split: train, test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 38.373095717160105
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Whisper Small Java
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the SLR Javanenese dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9356
+- Wer: 38.3731
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.8832        | 0.1   | 100  | 0.9373          | 51.7965 |
+| 0.3579        | 1.075 | 200  | 0.9986          | 51.4516 |
+| 0.2348        | 2.05  | 300  | 0.9892          | 46.0765 |
+| 0.1397        | 3.025 | 400  | 1.0404          | 47.0250 |
+| 0.0836        | 3.125 | 500  | 0.9862          | 46.9531 |
+| 0.0515        | 4.1   | 600  | 1.0148          | 42.2248 |
+| 0.0222        | 5.075 | 700  | 0.9917          | 40.2846 |
+| 0.0191        | 6.05  | 800  | 0.9665          | 39.3360 |
+| 0.0078        | 7.025 | 900  | 0.9541          | 39.0486 |
+| 0.0009        | 7.125 | 1000 | 0.9356          | 38.3731 |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

generation_config.json

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+{
+  "alignment_heads": [
+    [
+      5,
+      3
+    ],
+    [
+      5,
+      9
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+    [
+      8,
+      0
+    ],
+    [
+      8,
+      4
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+    [
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+    [
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+    [
+      9,
+      7
+    ],
+    [
+      9,
+      9
+    ],
+    [
+      10,
+      5
+    ]
+  ],
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
+    "<|af|>": 50327,
+    "<|am|>": 50334,
+    "<|ar|>": 50272,
+    "<|as|>": 50350,
+    "<|az|>": 50304,
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+    "<|vi|>": 50278,
+    "<|yi|>": 50335,
+    "<|yo|>": 50325,
+    "<|zh|>": 50260
+  },
+  "language": "javanese",
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50361,
+  "return_timestamps": false,
+  "suppress_tokens": [],
+  "task": "transcribe",
+  "task_to_id": {
+    "transcribe": 50359,
+    "translate": 50358
+  },
+  "transformers_version": "4.51.3"
+}

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