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--- |
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library_name: transformers |
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base_model: Sans1807/content |
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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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model-index: |
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- name: Sans1807/content |
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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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# Sans1807/content |
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This model is a fine-tuned version of [Sans1807/content](https://huggingface.co/Sans1807/content) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0944 |
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- Cer: 0.0078 |
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- Wer: 0.0406 |
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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: 16 |
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- eval_batch_size: 16 |
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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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- num_epochs: 25 |
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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 | Wer | |
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|:-------------:|:-------:|:----:|:---------------:|:------:|:------:| |
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| 0.0005 | 5.0761 | 1000 | 0.0714 | 0.0119 | 0.0584 | |
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| 0.0 | 10.1523 | 2000 | 0.0821 | 0.0115 | 0.0533 | |
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| 0.003 | 15.2284 | 3000 | 0.0877 | 0.0091 | 0.0381 | |
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| 0.0157 | 20.3046 | 4000 | 0.0944 | 0.0078 | 0.0406 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0 |
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- Datasets 2.17.0 |
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- Tokenizers 0.19.1 |
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