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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: 0.1552 |
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- Cer: 13.5275 |
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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: 2e-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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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_steps: 1000 |
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- num_epochs: 10.0 |
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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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| 0.1733 | 1.8622 | 500 | 0.1206 | 7.2293 | |
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| 0.1159 | 3.7244 | 1000 | 0.1404 | 10.6943 | |
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| 0.0596 | 5.5866 | 1500 | 0.1665 | 12.2340 | |
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| 0.0399 | 7.4488 | 2000 | 0.1486 | 11.8316 | |
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| 0.0224 | 9.3110 | 2500 | 0.1552 | 13.5275 | |
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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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