Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-medium.en
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-medium.en-cit-do015-wd0-lr1e-06-1000
+  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.en-cit-do015-wd0-lr1e-06-1000
+
+This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6953
+- Wer Ortho: 26.2768
+- Wer: 14.7572
+
+## 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-06
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
+| No log        | 0.4444 | 25   | 1.5811          | 45.2632   | 31.9044 |
+| 1.7463        | 0.8889 | 50   | 1.3848          | 39.1033   | 27.0106 |
+| 1.7463        | 1.3333 | 75   | 1.2178          | 35.7505   | 23.0273 |
+| 1.3387        | 1.7778 | 100  | 1.0166          | 36.1014   | 23.4446 |
+| 1.3387        | 2.2222 | 125  | 0.8784          | 31.9298   | 19.1958 |
+| 0.988         | 2.6667 | 150  | 0.8340          | 30.8382   | 18.4750 |
+| 0.988         | 3.1111 | 175  | 0.8027          | 30.3314   | 17.7162 |
+| 0.8856        | 3.5556 | 200  | 0.7812          | 29.6686   | 17.4127 |
+| 0.8856        | 4.0    | 225  | 0.7651          | 30.1365   | 17.6783 |
+| 0.7927        | 4.4444 | 250  | 0.7515          | 29.2008   | 16.8816 |
+| 0.7927        | 4.8889 | 275  | 0.7402          | 28.2651   | 15.6677 |
+| 0.7482        | 5.3333 | 300  | 0.7300          | 27.9922   | 15.5159 |
+| 0.7482        | 5.7778 | 325  | 0.7217          | 27.8752   | 15.6677 |
+| 0.7275        | 6.2222 | 350  | 0.7153          | 27.4854   | 15.4021 |
+| 0.7275        | 6.6667 | 375  | 0.7085          | 27.3684   | 15.3642 |
+| 0.7003        | 7.1111 | 400  | 0.7041          | 26.6277   | 14.6813 |
+| 0.7003        | 7.5556 | 425  | 0.7002          | 26.3158   | 14.7572 |
+| 0.6763        | 8.0    | 450  | 0.6973          | 26.2378   | 14.6055 |
+| 0.6763        | 8.4444 | 475  | 0.6963          | 26.4327   | 14.7951 |
+| 0.6687        | 8.8889 | 500  | 0.6953          | 26.2768   | 14.7572 |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 1.13.1+cu117
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+  "task_to_id": {
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+  "transformers_version": "4.42.3"
+}

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runs/Jul02_10-38-19_whisper-finetune2/events.out.tfevents.1719916708.whisper-finetune2

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