End of training

README.md

@@ -1,199 +1,102 @@
 ---
 library_name: transformers
-tags: []
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-small-lg-CV-v4
+  results: []
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
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-### Model Description
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-<!-- Provide a longer summary of what this model is. -->
-
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-
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+<!-- 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. -->
+
+# whisper-small-lg-CV-v4
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4866
+- Wer: 0.1829
+- Cer: 0.0436
+
+## 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: 8
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 80
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:------:|:---------------:|:------:|:------:|
+| 1.545         | 1.0   | 4442   | 0.5612          | 0.8131 | 0.3503 |
+| 0.4678        | 2.0   | 8884   | 0.3652          | 0.8879 | 0.3107 |
+| 0.3088        | 3.0   | 13326  | 0.3027          | 0.5332 | 0.1688 |
+| 0.2227        | 4.0   | 17768  | 0.2697          | 0.5612 | 0.2191 |
+| 0.1615        | 5.0   | 22210  | 0.2638          | 0.2890 | 0.0834 |
+| 0.1138        | 6.0   | 26652  | 0.2823          | 0.3445 | 0.1247 |
+| 0.0783        | 7.0   | 31094  | 0.2914          | 0.2683 | 0.0754 |
+| 0.0554        | 8.0   | 35536  | 0.3115          | 0.2488 | 0.0658 |
+| 0.0396        | 9.0   | 39978  | 0.3147          | 0.2329 | 0.0524 |
+| 0.0279        | 10.0  | 44420  | 0.3267          | 0.2213 | 0.0499 |
+| 0.0207        | 11.0  | 48862  | 0.3438          | 0.2167 | 0.0494 |
+| 0.0167        | 12.0  | 53304  | 0.3460          | 0.2090 | 0.0449 |
+| 0.0138        | 13.0  | 57746  | 0.3553          | 0.2043 | 0.0447 |
+| 0.0118        | 14.0  | 62188  | 0.3806          | 0.2167 | 0.0486 |
+| 0.0101        | 15.0  | 66630  | 0.3755          | 0.2066 | 0.0463 |
+| 0.0089        | 16.0  | 71072  | 0.3849          | 0.2045 | 0.0450 |
+| 0.0079        | 17.0  | 75514  | 0.3918          | 0.1974 | 0.0447 |
+| 0.0071        | 18.0  | 79956  | 0.3998          | 0.1968 | 0.0435 |
+| 0.0064        | 19.0  | 84398  | 0.4117          | 0.2016 | 0.0442 |
+| 0.0059        | 20.0  | 88840  | 0.4077          | 0.1985 | 0.0443 |
+| 0.0052        | 21.0  | 93282  | 0.4198          | 0.1976 | 0.0434 |
+| 0.005         | 22.0  | 97724  | 0.4248          | 0.1964 | 0.0427 |
+| 0.0044        | 23.0  | 102166 | 0.4303          | 0.1964 | 0.0445 |
+| 0.0038        | 24.0  | 106608 | 0.4429          | 0.1970 | 0.0439 |
+| 0.0036        | 25.0  | 111050 | 0.4448          | 0.2014 | 0.0463 |
+| 0.0035        | 26.0  | 115492 | 0.4585          | 0.1952 | 0.0435 |
+| 0.003         | 27.0  | 119934 | 0.4450          | 0.1836 | 0.0404 |
+| 0.003         | 28.0  | 124376 | 0.4620          | 0.1869 | 0.0409 |
+| 0.0028        | 29.0  | 128818 | 0.4665          | 0.1885 | 0.0401 |
+| 0.0026        | 30.0  | 133260 | 0.4837          | 0.1937 | 0.0440 |
+| 0.0024        | 31.0  | 137702 | 0.4758          | 0.1850 | 0.0399 |
+| 0.0023        | 32.0  | 142144 | 0.4879          | 0.1891 | 0.0418 |
+| 0.0021        | 33.0  | 146586 | 0.4674          | 0.1883 | 0.0414 |
+| 0.0019        | 34.0  | 151028 | 0.4782          | 0.1852 | 0.0413 |
+| 0.0018        | 35.0  | 155470 | 0.4834          | 0.1840 | 0.0411 |
+| 0.0016        | 36.0  | 159912 | 0.4990          | 0.1912 | 0.0428 |
+| 0.0017        | 37.0  | 164354 | 0.4866          | 0.1829 | 0.0436 |
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.1.0+cu118
+- Datasets 3.1.0
+- Tokenizers 0.21.0

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+}