End of training
Browse files- README.md +80 -0
- model.safetensors +1 -1
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-medium
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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-medium-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: 0.98
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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-medium-ft-balbus
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Balbus dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1332
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- Accuracy: 0.98
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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: 4
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- eval_batch_size: 4
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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: 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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| 0.0033 | 1.0 | 450 | 0.1952 | 0.965 |
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| 0.4973 | 2.0 | 900 | 0.0796 | 0.98 |
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| 0.0021 | 3.0 | 1350 | 0.1894 | 0.97 |
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| 0.3833 | 4.0 | 1800 | 0.0987 | 0.985 |
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| 0.0003 | 5.0 | 2250 | 0.0741 | 0.99 |
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| 0.0001 | 6.0 | 2700 | 0.1332 | 0.98 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 1229957888
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version https://git-lfs.github.com/spec/v1
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size 1229957888
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