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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-medium |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: train-data |
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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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# train-data |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0341 |
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- Accuracy: 0.9934 |
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- Precision: 0.9934 |
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- Recall: 0.9934 |
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- F1: 0.9934 |
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- Music Precision: 0.9910 |
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- Music Recall: 1.0 |
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- Music F1: 0.9955 |
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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: 32 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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_ratio: 0.1 |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Music Precision | Music Recall | Music F1 | |
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|:-------------:|:-------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:---------------:|:------------:|:--------:| |
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| 0.0148 | 5.2632 | 100 | 0.0020 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0021 | 10.5263 | 200 | 0.0341 | 0.9934 | 0.9934 | 0.9934 | 0.9934 | 0.9910 | 1.0 | 0.9955 | |
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### Framework versions |
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- Transformers 4.57.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 4.3.0 |
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- Tokenizers 0.22.1 |
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