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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-small |
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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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- bleu |
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model-index: |
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- name: whisper-small-FLEURS-GL-EN |
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results: [] |
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datasets: |
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- juanjucm/FLEURS-SpeechT-GL-EN |
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language: |
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- gl |
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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-small-FLEURS-GL-EN |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6607 |
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- Wer: 67.1683 |
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- Bleu: 22.6201 |
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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: 1.25e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 16 |
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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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- num_epochs: 8 |
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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 | Bleu | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| 1.3189 | 1.0 | 86 | 1.6608 | 67.1683 | 22.6201 | |
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| 0.6613 | 2.0 | 172 | 1.6643 | 68.5990 | 21.1576 | |
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| 0.3492 | 3.0 | 258 | 1.7873 | 69.7046 | 20.7371 | |
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| 0.1416 | 4.0 | 344 | 1.9098 | 69.9090 | 20.5952 | |
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| 0.0974 | 5.0 | 430 | 2.0487 | 70.0948 | 20.6740 | |
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| 0.061 | 6.0 | 516 | 2.1565 | 73.4578 | 19.2411 | |
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| 0.0384 | 7.0 | 602 | 2.2107 | 73.6622 | 19.5413 | |
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| 0.0203 | 8.0 | 688 | 2.2476 | 73.9874 | 19.4512 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
