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--- |
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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: openai/whisper-small-finetuned-gtzan |
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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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# openai/whisper-small-finetuned-gtzan |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the minds14 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7962 |
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- Wer Ortho: 0.2622 |
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- Wer: 0.2674 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 4000 |
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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 Ortho | Wer | |
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|:-------------:|:--------:|:----:|:---------------:|:---------:|:------:| |
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| 0.0001 | 17.2414 | 500 | 0.6029 | 0.2548 | 0.2580 | |
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| 0.0 | 34.4828 | 1000 | 0.6568 | 0.2480 | 0.2532 | |
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| 0.0 | 51.7241 | 1500 | 0.6910 | 0.2498 | 0.2556 | |
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| 0.0 | 68.9655 | 2000 | 0.7173 | 0.2480 | 0.2538 | |
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| 0.0 | 86.2069 | 2500 | 0.7402 | 0.2486 | 0.2544 | |
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| 0.0 | 103.4483 | 3000 | 0.7624 | 0.2566 | 0.2621 | |
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| 0.0 | 120.6897 | 3500 | 0.7800 | 0.2640 | 0.2692 | |
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| 0.0 | 137.9310 | 4000 | 0.7962 | 0.2622 | 0.2674 | |
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### Framework versions |
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- Transformers 4.43.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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