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--- |
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library_name: transformers |
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base_model: Benjaminpwh/xlsr-toratan-240-copt-base_K |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: xls-r-300m-toratan-120-copt |
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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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# xls-r-300m-toratan-120-copt |
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This model is a fine-tuned version of [Benjaminpwh/xlsr-toratan-240-copt-base_K](https://huggingface.co/Benjaminpwh/xlsr-toratan-240-copt-base_K) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0124 |
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- Cer: 0.0045 |
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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: 0.0003 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- optimizer: Use OptimizerNames.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: 500 |
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- num_epochs: 30 |
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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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| 4.5582 | 4.1667 | 400 | 1.8811 | 0.5809 | |
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| 1.5024 | 8.3333 | 800 | 0.8199 | 0.2577 | |
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| 0.9223 | 12.5 | 1200 | 0.4515 | 0.1573 | |
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| 0.5883 | 16.6667 | 1600 | 0.2131 | 0.0854 | |
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| 0.369 | 20.8333 | 2000 | 0.0768 | 0.0305 | |
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| 0.2309 | 25.0 | 2400 | 0.0288 | 0.0117 | |
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| 0.1515 | 29.1667 | 2800 | 0.0124 | 0.0045 | |
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### Framework versions |
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- Transformers 4.52.0.dev0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
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