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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: openai/whisper-large-v2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bambara-asr-v4 |
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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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# bambara-asr-v4 |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6734 |
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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: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: 50 |
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- num_epochs: 10 |
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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 | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 0.9052 | 1.0 | 1708 | 0.9113 | |
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| 0.8135 | 2.0 | 3416 | 0.8085 | |
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| 0.762 | 3.0 | 5124 | 0.7595 | |
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| 0.728 | 4.0 | 6832 | 0.7322 | |
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| 0.6884 | 5.0 | 8540 | 0.7113 | |
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| 0.6784 | 6.0 | 10248 | 0.6970 | |
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| 0.6616 | 7.0 | 11956 | 0.6868 | |
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| 0.679 | 8.0 | 13664 | 0.6789 | |
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| 0.6574 | 9.0 | 15372 | 0.6754 | |
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| 0.6217 | 9.9946 | 17070 | 0.6734 | |
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### Framework versions |
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- PEFT 0.14.1.dev0 |
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- Transformers 4.49.0.dev0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
