Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-large-v2
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_13_0
+metrics:
+- wer
+model-index:
+- name: openai/whisper-large-v2
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_13_0
+      type: common_voice_13_0
+      config: pt
+      split: test
+      args: pt
+    metrics:
+    - name: Wer
+      type: wer
+      value: 6.450234942332337
+---
+
+<!-- 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-v2
+
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4115
+- Wer: 6.4502
+
+## 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    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.0424        | 3.53  | 1000  | 0.1879          | 5.9886 |
+| 0.0093        | 7.05  | 2000  | 0.2493          | 6.2744 |
+| 0.0049        | 10.58 | 3000  | 0.2656          | 6.3500 |
+| 0.0031        | 14.11 | 4000  | 0.2850          | 6.4256 |
+| 0.0029        | 17.64 | 5000  | 0.3013          | 6.5833 |
+| 0.0053        | 21.16 | 6000  | 0.2810          | 6.7969 |
+| 0.0033        | 24.69 | 7000  | 0.3072          | 6.8905 |
+| 0.0007        | 28.22 | 8000  | 0.3210          | 6.7312 |
+| 0.0021        | 31.75 | 9000  | 0.3311          | 6.9924 |
+| 0.0006        | 35.27 | 10000 | 0.3188          | 6.7295 |
+| 0.0002        | 38.8  | 11000 | 0.3336          | 6.6589 |
+| 0.0004        | 42.33 | 12000 | 0.3465          | 6.9086 |
+| 0.0004        | 45.86 | 13000 | 0.3340          | 6.9924 |
+| 0.0001        | 49.38 | 14000 | 0.3607          | 6.8199 |
+| 0.0001        | 52.91 | 15000 | 0.3779          | 6.6112 |
+| 0.0           | 56.44 | 16000 | 0.3884          | 6.5505 |
+| 0.0           | 59.96 | 17000 | 0.3966          | 6.4897 |
+| 0.0           | 63.49 | 18000 | 0.4039          | 6.4650 |
+| 0.0           | 67.02 | 19000 | 0.4091          | 6.4486 |
+| 0.0           | 70.55 | 20000 | 0.4115          | 6.4502 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
+- Tokenizers 0.15.1

generation_config.json

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+}

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