Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-large
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-medium-r22-e
+  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-medium-r22-e
+
+This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2567
+- Wer: 32.4317
+
+## 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: 8
+- 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: 5
+- training_steps: 150
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 4.2827        | 0.02  | 10   | 2.4594          | 30.6262 |
+| 1.5383        | 0.04  | 20   | 0.9529          | 36.0561 |
+| 0.5967        | 0.05  | 30   | 0.4230          | 34.7607 |
+| 0.3559        | 0.07  | 40   | 0.3960          | 33.9352 |
+| 0.314         | 0.09  | 50   | 0.3285          | 32.7270 |
+| 0.3339        | 0.11  | 60   | 0.3362          | 33.3244 |
+| 0.3148        | 0.13  | 70   | 0.2927          | 31.6464 |
+| 0.3128        | 0.14  | 80   | 0.2896          | 32.5458 |
+| 0.3136        | 0.16  | 90   | 0.2828          | 32.8613 |
+| 0.272         | 0.18  | 100  | 0.2818          | 33.9419 |
+| 0.1936        | 0.2   | 110  | 0.2702          | 30.9148 |
+| 0.2541        | 0.22  | 120  | 0.2644          | 31.8209 |
+| 0.2957        | 0.23  | 130  | 0.2614          | 31.6531 |
+| 0.2867        | 0.25  | 140  | 0.2574          | 31.6397 |
+| 0.2085        | 0.27  | 150  | 0.2567          | 32.4317 |
+
+
+### Framework versions
+
+- Transformers 4.35.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

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