Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: another_local
+  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. -->
+
+# another_local
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5372
+- Wer: 130.3266
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1972        | 1.6   | 500  | 0.4266          | 105.1927 |
+| 0.033         | 3.19  | 1000 | 0.4507          | 209.0820 |
+| 0.0167        | 4.79  | 1500 | 0.4738          | 96.0643  |
+| 0.0052        | 6.39  | 2000 | 0.4948          | 143.7616 |
+| 0.0035        | 7.99  | 2500 | 0.5144          | 126.8133 |
+| 0.0047        | 9.58  | 3000 | 0.5273          | 133.8966 |
+| 0.0033        | 11.18 | 3500 | 0.5349          | 137.8580 |
+| 0.0026        | 12.78 | 4000 | 0.5372          | 130.3266 |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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+}

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