Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_13_0
+metrics:
+- wer
+model-index:
+- name: openai/whisper-large-v3
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_13_0
+      type: common_voice_13_0
+      config: gl
+      split: test
+      args: gl
+    metrics:
+    - name: Wer
+      type: wer
+      value: 5.008278145695364
+---
+
+<!-- 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. -->
+
+# openai/whisper-large-v3
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2940
+- Wer: 5.0083
+
+## 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: 1e-05
+- train_batch_size: 32
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 20000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.0176        | 5.0   | 1000  | 0.1563          | 5.2514 |
+| 0.004         | 10.0  | 2000  | 0.1884          | 5.5653 |
+| 0.0039        | 15.0  | 3000  | 0.2052          | 5.5377 |
+| 0.0033        | 20.0  | 4000  | 0.2054          | 5.2997 |
+| 0.0012        | 25.0  | 5000  | 0.2115          | 5.1031 |
+| 0.001         | 30.0  | 6000  | 0.2195          | 5.2394 |
+| 0.001         | 35.0  | 7000  | 0.2257          | 5.3446 |
+| 0.001         | 40.0  | 8000  | 0.2178          | 5.4015 |
+| 0.0008        | 45.0  | 9000  | 0.2250          | 5.4705 |
+| 0.0008        | 50.0  | 10000 | 0.2320          | 5.2946 |
+| 0.0002        | 55.0  | 11000 | 0.2368          | 5.3515 |
+| 0.0           | 60.0  | 12000 | 0.2551          | 5.0997 |
+| 0.0           | 65.0  | 13000 | 0.2634          | 5.0738 |
+| 0.0           | 70.0  | 14000 | 0.2697          | 5.0359 |
+| 0.0           | 75.0  | 15000 | 0.2752          | 5.0186 |
+| 0.0           | 80.0  | 16000 | 0.2804          | 5.0066 |
+| 0.0           | 85.0  | 17000 | 0.2852          | 4.9859 |
+| 0.0           | 90.0  | 18000 | 0.2894          | 4.9893 |
+| 0.0           | 95.0  | 19000 | 0.2927          | 5.0014 |
+| 0.0           | 100.0 | 20000 | 0.2940          | 5.0083 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

generation_config.json

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+  "forced_decoder_ids": [
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+    [
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+  "transformers_version": "4.37.2"
+}

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