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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-tiny-no-specific-topic-v3 |
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results: [] |
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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-tiny-no-specific-topic-v3 |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8726 |
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- Wer: 40.7091 |
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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: 4 |
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 8000 |
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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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| 0.4891 | 0.125 | 1000 | 0.7647 | 45.5818 | |
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| 0.4681 | 0.25 | 2000 | 0.7404 | 45.5727 | |
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| 0.2846 | 0.375 | 3000 | 0.7901 | 41.1909 | |
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| 0.3004 | 0.5 | 4000 | 0.8354 | 45.9455 | |
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| 0.2533 | 0.625 | 5000 | 0.8392 | 41.8182 | |
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| 0.2314 | 0.75 | 6000 | 0.8626 | 41.5 | |
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| 0.2622 | 0.875 | 7000 | 0.8690 | 43.5545 | |
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| 0.2165 | 1.0 | 8000 | 0.8726 | 40.7091 | |
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### Framework versions |
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- Transformers 4.49.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
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