Model save

README.md

@@ -0,0 +1,118 @@
+---
+license: apache-2.0
+base_model: openai/whisper-large
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_16_1
+metrics:
+- wer
+model-index:
+- name: openai/whisper-large
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_16_1
+      type: common_voice_16_1
+      config: eu
+      split: test
+      args: eu
+    metrics:
+    - name: Wer
+      type: wer
+      value: 8.144442707519149
+---
+
+<!-- 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
+
+This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the common_voice_16_1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4111
+- Wer: 8.1444
+
+## 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: 8
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 40000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Wer     |
+|:-------------:|:------:|:-----:|:---------------:|:-------:|
+| 0.004         | 10.04  | 1000  | 0.2314          | 10.6603 |
+| 0.0028        | 20.08  | 2000  | 0.2480          | 10.2783 |
+| 0.0027        | 30.11  | 3000  | 0.2492          | 10.0379 |
+| 0.0005        | 40.15  | 4000  | 0.2753          | 9.3784  |
+| 0.0016        | 50.19  | 5000  | 0.2489          | 9.3003  |
+| 0.0006        | 60.23  | 6000  | 0.2599          | 9.0023  |
+| 0.0011        | 70.26  | 7000  | 0.2606          | 8.9378  |
+| 0.0005        | 80.3   | 8000  | 0.2723          | 8.9270  |
+| 0.0001        | 90.34  | 9000  | 0.2764          | 8.5304  |
+| 0.0011        | 100.38 | 10000 | 0.2668          | 8.8977  |
+| 0.0001        | 110.41 | 11000 | 0.2856          | 8.3701  |
+| 0.0           | 120.45 | 12000 | 0.3045          | 8.2890  |
+| 0.0           | 130.49 | 13000 | 0.3149          | 8.2441  |
+| 0.0           | 140.53 | 14000 | 0.3241          | 8.2285  |
+| 0.0           | 150.56 | 15000 | 0.3336          | 8.2060  |
+| 0.0           | 160.6  | 16000 | 0.3433          | 8.1601  |
+| 0.0           | 170.64 | 17000 | 0.3537          | 8.1806  |
+| 0.0           | 180.68 | 18000 | 0.3634          | 8.1874  |
+| 0.0           | 190.72 | 19000 | 0.3738          | 8.1786  |
+| 0.0           | 200.75 | 20000 | 0.3848          | 8.2441  |
+| 0.0           | 210.79 | 21000 | 0.3952          | 8.2324  |
+| 0.0           | 220.83 | 22000 | 0.4030          | 8.2480  |
+| 0.0001        | 230.87 | 23000 | 0.2919          | 8.4268  |
+| 0.0           | 240.9  | 24000 | 0.3137          | 8.1865  |
+| 0.0           | 250.94 | 25000 | 0.3271          | 8.1884  |
+| 0.0           | 260.98 | 26000 | 0.3378          | 8.1825  |
+| 0.0           | 271.02 | 27000 | 0.3472          | 8.1865  |
+| 0.0           | 281.05 | 28000 | 0.3556          | 8.2031  |
+| 0.0           | 291.09 | 29000 | 0.3637          | 8.2099  |
+| 0.0           | 301.13 | 30000 | 0.3710          | 8.1933  |
+| 0.0           | 311.17 | 31000 | 0.3781          | 8.1874  |
+| 0.0           | 321.2  | 32000 | 0.3845          | 8.1679  |
+| 0.0           | 331.24 | 33000 | 0.3905          | 8.1601  |
+| 0.0           | 341.28 | 34000 | 0.3971          | 8.1640  |
+| 0.0           | 351.32 | 35000 | 0.4022          | 8.1611  |
+| 0.0           | 361.36 | 36000 | 0.4046          | 8.1562  |
+| 0.0           | 371.39 | 37000 | 0.4073          | 8.1523  |
+| 0.0           | 381.43 | 38000 | 0.4093          | 8.1493  |
+| 0.0           | 391.47 | 39000 | 0.4107          | 8.1513  |
+| 0.0           | 401.51 | 40000 | 0.4111          | 8.1444  |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

generation_config.json

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+      7
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+    [
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+  ],
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+  "forced_decoder_ids": [
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+    "<|vi|>": 50278,
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+  "max_length": 448,
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+  "transformers_version": "4.37.2"
+}

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