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--- |
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language: |
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- en |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- St4n/new-2 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small En - Stan |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: new-2 |
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type: St4n/new-2 |
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config: default |
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split: None |
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args: 'config: en, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 8.513708513708513 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper Small En - Stan |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the new-2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1269 |
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- Wer: 8.5137 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 200 |
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- training_steps: 6000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:------:| |
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| 0.0026 | 30.77 | 200 | 0.0885 | 3.0303 | |
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| 0.0001 | 61.54 | 400 | 0.1035 | 8.8023 | |
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| 0.0 | 92.31 | 600 | 0.1082 | 8.8023 | |
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| 0.0 | 123.08 | 800 | 0.1111 | 8.5137 | |
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| 0.0 | 153.85 | 1000 | 0.1128 | 8.5137 | |
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| 0.0 | 184.62 | 1200 | 0.1143 | 8.5137 | |
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| 0.0 | 215.38 | 1400 | 0.1153 | 8.5137 | |
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| 0.0 | 246.15 | 1600 | 0.1162 | 8.5137 | |
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| 0.0 | 276.92 | 1800 | 0.1169 | 8.5137 | |
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| 0.0 | 307.69 | 2000 | 0.1176 | 8.5137 | |
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| 0.0 | 338.46 | 2200 | 0.1196 | 8.5137 | |
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| 0.0 | 369.23 | 2400 | 0.1211 | 8.5137 | |
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| 0.0 | 400.0 | 2600 | 0.1217 | 8.5137 | |
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| 0.0 | 430.77 | 2800 | 0.1221 | 8.5137 | |
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| 0.0 | 461.54 | 3000 | 0.1224 | 8.5137 | |
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| 0.0 | 492.31 | 3200 | 0.1225 | 8.5137 | |
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| 0.0 | 523.08 | 3400 | 0.1227 | 8.5137 | |
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| 0.0 | 553.85 | 3600 | 0.1228 | 8.5137 | |
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| 0.0 | 584.62 | 3800 | 0.1229 | 8.5137 | |
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| 0.0 | 615.38 | 4000 | 0.1230 | 8.5137 | |
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| 0.0 | 646.15 | 4200 | 0.1253 | 8.5137 | |
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| 0.0 | 676.92 | 4400 | 0.1263 | 8.5137 | |
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| 0.0 | 707.69 | 4600 | 0.1265 | 8.5137 | |
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| 0.0 | 738.46 | 4800 | 0.1267 | 8.5137 | |
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| 0.0 | 769.23 | 5000 | 0.1266 | 8.5137 | |
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| 0.0 | 800.0 | 5200 | 0.1267 | 8.5137 | |
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| 0.0 | 830.77 | 5400 | 0.1267 | 8.5137 | |
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| 0.0 | 861.54 | 5600 | 0.1269 | 8.5137 | |
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| 0.0 | 892.31 | 5800 | 0.1269 | 8.5137 | |
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| 0.0 | 923.08 | 6000 | 0.1269 | 8.5137 | |
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### Framework versions |
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- Transformers 4.39.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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