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: ca
+      split: test
+      args: ca
+    metrics:
+    - name: Wer
+      type: wer
+      value: 4.727636467562161
+---
+
+<!-- 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: 0.1187
+- Wer: 4.7276
+
+## 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    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.1072        | 1.02  | 1000  | 0.1637          | 7.0329 |
+| 0.0239        | 3.02  | 2000  | 0.1784          | 7.0277 |
+| 0.0507        | 5.02  | 3000  | 0.1754          | 6.5773 |
+| 0.0571        | 7.02  | 4000  | 0.1620          | 6.5047 |
+| 0.0193        | 9.02  | 5000  | 0.1821          | 6.4887 |
+| 0.0625        | 11.02 | 6000  | 0.1443          | 6.7585 |
+| 0.0752        | 13.02 | 7000  | 0.1653          | 5.9097 |
+| 0.0359        | 15.02 | 8000  | 0.1406          | 5.8760 |
+| 0.0565        | 17.01 | 9000  | 0.1496          | 5.9680 |
+| 0.0196        | 19.01 | 10000 | 0.1788          | 5.2746 |
+| 0.0215        | 21.01 | 11000 | 0.1539          | 5.3895 |
+| 0.0178        | 23.01 | 12000 | 0.1800          | 5.3764 |
+| 0.0114        | 25.01 | 13000 | 0.1709          | 5.2078 |
+| 0.0123        | 27.01 | 14000 | 0.1827          | 5.2003 |
+| 0.0337        | 29.01 | 15000 | 0.1553          | 5.3655 |
+| 0.0108        | 31.01 | 16000 | 0.1476          | 4.9151 |
+| 0.0194        | 33.01 | 17000 | 0.1396          | 4.8477 |
+| 0.0472        | 35.0  | 18000 | 0.1202          | 4.8717 |
+| 0.0401        | 37.0  | 19000 | 0.1494          | 4.6716 |
+| 0.0127        | 39.0  | 20000 | 0.1187          | 4.7276 |
+
+
+### 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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