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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: biodatlab/whisper-th-small-combined |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: outs |
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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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# outs |
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This model is a fine-tuned version of [biodatlab/whisper-th-small-combined](https://huggingface.co/biodatlab/whisper-th-small-combined) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1631 |
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- Cer: 10.9836 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2.0 |
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- total_train_batch_size: 32.0 |
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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: 5.0 |
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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 | Cer | |
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|:-------------:|:------:|:----:|:---------------:|:-------:| |
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| No log | 0.9926 | 67 | 0.1876 | 10.2687 | |
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| 0.1249 | 2.0 | 135 | 0.1632 | 13.0653 | |
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| 0.0715 | 2.9926 | 202 | 0.1870 | 14.0862 | |
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| 0.0715 | 4.0 | 270 | 0.1636 | 10.3119 | |
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| 0.0386 | 4.9630 | 335 | 0.1631 | 10.9836 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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