Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-large-v3-common-n-medical-50-50
+  results: []
+---
+
+<!-- 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-large-v3-common-n-medical-50-50
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3193
+- Wer: 5.2213
+
+## 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: 5e-07
+- train_batch_size: 64
+- eval_batch_size: 32
+- seed: 42
+- distributed_type: multi-GPU
+- optimizer: Use 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: 250
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 5.126         | 0.0969 | 250  | 0.3694          | 5.6601 |
+| 4.367         | 0.1938 | 500  | 0.3586          | 5.8156 |
+| 4.1514        | 0.2907 | 750  | 0.3511          | 5.8839 |
+| 3.962         | 0.3876 | 1000 | 0.3450          | 5.7805 |
+| 3.9038        | 0.4845 | 1250 | 0.3403          | 6.1746 |
+| 3.8313        | 0.5814 | 1500 | 0.3359          | 5.9738 |
+| 3.7778        | 0.6783 | 1750 | 0.3333          | 5.9218 |
+| 3.7421        | 0.7752 | 2000 | 0.3306          | 6.1327 |
+| 3.7367        | 0.8721 | 2250 | 0.3281          | 5.6561 |
+| 3.6878        | 0.9690 | 2500 | 0.3257          | 5.5154 |
+| 3.6769        | 1.0659 | 2750 | 0.3242          | 5.4803 |
+| 3.6508        | 1.1628 | 3000 | 0.3235          | 5.4634 |
+| 3.6292        | 1.2597 | 3250 | 0.3220          | 5.3512 |
+| 3.6179        | 1.3566 | 3500 | 0.3210          | 5.2254 |
+| 3.6032        | 1.4535 | 3750 | 0.3206          | 5.2207 |
+| 3.5922        | 1.5504 | 4000 | 0.3201          | 5.3038 |
+| 3.5743        | 1.6473 | 4250 | 0.3198          | 5.2633 |
+| 3.5882        | 1.7442 | 4500 | 0.3198          | 5.2254 |
+| 3.6021        | 1.8411 | 4750 | 0.3196          | 5.2186 |
+| 3.5865        | 1.9380 | 5000 | 0.3193          | 5.2213 |
+
+
+### Framework versions
+
+- Transformers 4.48.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 3.2.1.dev0
+- Tokenizers 0.21.0

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