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README.md
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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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datasets:
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- balbus-classifier
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metrics:
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- accuracy
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model-index:
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- name: whisper-tiny-ft-balbus
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results:
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- task:
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name: Audio Classification
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type: audio-classification
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dataset:
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name: Balbus dataset
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type: balbus-classifier
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.955
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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-ft-balbus
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Balbus dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3438
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- Accuracy: 0.955
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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: 5e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- optimizer: Use OptimizerNames.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_ratio: 0.1
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- num_epochs: 6
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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 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.0028 | 1.0 | 900 | 0.5075 | 0.895 |
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| 0.717 | 2.0 | 1800 | 0.5615 | 0.915 |
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| 0.0009 | 3.0 | 2700 | 0.5231 | 0.905 |
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| 0.0002 | 4.0 | 3600 | 0.2390 | 0.95 |
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| 0.0 | 5.0 | 4500 | 0.4682 | 0.945 |
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| 0.0 | 6.0 | 5400 | 0.3438 | 0.955 |
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### Framework versions
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- Transformers 4.49.0.dev0
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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runs/Jan22_16-41-29_a8010d9ce9e8/events.out.tfevents.1737564097.a8010d9ce9e8.37184.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa9ad5b0caf1ac1f828227c03d82a9735969666ad0afe64b74668b13dcf631a2
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size 236880
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