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: gl
+      split: test
+      args: gl
+    metrics:
+    - name: Wer
+      type: wer
+      value: 6.01717715231788
+---
+
+<!-- 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: 0.3753
+- Wer: 6.0172
+
+## 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
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.0185        | 4.01  | 1000  | 0.1896          | 6.3569 |
+| 0.0067        | 9.01  | 2000  | 0.2083          | 6.3862 |
+| 0.0038        | 14.01 | 3000  | 0.2291          | 6.4621 |
+| 0.0022        | 19.01 | 4000  | 0.2412          | 6.4794 |
+| 0.0013        | 24.01 | 5000  | 0.2515          | 6.4673 |
+| 0.0023        | 29.01 | 6000  | 0.2570          | 6.6432 |
+| 0.0018        | 34.01 | 7000  | 0.2474          | 6.6380 |
+| 0.0017        | 39.01 | 8000  | 0.2530          | 6.9312 |
+| 0.0001        | 44.01 | 9000  | 0.2758          | 6.2379 |
+| 0.0001        | 49.01 | 10000 | 0.2952          | 6.1241 |
+| 0.0001        | 54.01 | 11000 | 0.3056          | 6.0499 |
+| 0.0           | 59.01 | 12000 | 0.3152          | 5.9948 |
+| 0.0           | 64.01 | 13000 | 0.3244          | 6.0310 |
+| 0.0           | 69.01 | 14000 | 0.3336          | 6.0586 |
+| 0.0           | 74.01 | 15000 | 0.3428          | 6.0344 |
+| 0.0           | 79.01 | 16000 | 0.3518          | 6.0017 |
+| 0.0           | 84.01 | 17000 | 0.3601          | 5.9879 |
+| 0.0           | 89.01 | 18000 | 0.3675          | 6.0103 |
+| 0.0           | 94.01 | 19000 | 0.3729          | 6.0068 |
+| 0.0           | 99.01 | 20000 | 0.3753          | 6.0172 |
+
+
+### Framework versions
+
+- Transformers 4.33.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
+- Tokenizers 0.13.3

generation_config.json

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+}

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