Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_13_0
+metrics:
+- wer
+model-index:
+- name: openai/whisper-large-v3
+  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: 4.600269444353169
+---
+
+<!-- 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-v3
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4315
+- Wer: 4.6003
+
+## 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: 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    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.0702        | 3.53  | 1000  | 0.1289          | 4.0367 |
+| 0.0247        | 7.05  | 2000  | 0.1806          | 4.4294 |
+| 0.0074        | 10.58 | 3000  | 0.2821          | 4.7481 |
+| 0.0022        | 14.11 | 4000  | 0.3160          | 4.6249 |
+| 0.0016        | 17.64 | 5000  | 0.3261          | 4.6479 |
+| 0.0027        | 21.16 | 6000  | 0.3373          | 4.6479 |
+| 0.0009        | 24.69 | 7000  | 0.3642          | 4.7087 |
+| 0.0007        | 28.22 | 8000  | 0.3551          | 4.6611 |
+| 0.0006        | 31.75 | 9000  | 0.3741          | 4.7481 |
+| 0.0004        | 35.27 | 10000 | 0.3755          | 4.6791 |
+| 0.0008        | 38.8  | 11000 | 0.3690          | 4.6381 |
+| 0.0002        | 42.33 | 12000 | 0.3888          | 4.5115 |
+| 0.0002        | 45.86 | 13000 | 0.3982          | 4.5855 |
+| 0.0001        | 49.38 | 14000 | 0.4040          | 4.6085 |
+| 0.0001        | 52.91 | 15000 | 0.4100          | 4.5888 |
+| 0.0001        | 56.44 | 16000 | 0.4165          | 4.5871 |
+| 0.0001        | 59.96 | 17000 | 0.4211          | 4.5855 |
+| 0.0001        | 63.49 | 18000 | 0.4265          | 4.5838 |
+| 0.0001        | 67.02 | 19000 | 0.4302          | 4.5921 |
+| 0.0001        | 70.55 | 20000 | 0.4315          | 4.6003 |
+
+
+### 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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+  "forced_decoder_ids": [
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+    [
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+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50362,
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+  "transformers_version": "4.37.2"
+}

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