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--- |
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library_name: transformers |
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base_model: bowphs/evacun2025-1 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: evacun-lemmatization-vanilla-second-split |
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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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# evacun-lemmatization-vanilla-second-split |
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This model is a fine-tuned version of [bowphs/evacun2025-1](https://huggingface.co/bowphs/evacun2025-1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2926 |
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- Exact Match: 0.8811 |
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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: 1e-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: 16 |
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- total_train_batch_size: 64 |
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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: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Exact Match | |
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|:-------------:|:-------:|:-----:|:---------------:|:-----------:| |
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| 0.0534 | 5.9999 | 27542 | 0.1986 | 0.8633 | |
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| 0.0399 | 6.9999 | 32132 | 0.2140 | 0.8587 | |
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| 0.0275 | 8.0 | 36723 | 0.2305 | 0.86 | |
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| 0.0204 | 8.9999 | 41313 | 0.2508 | 0.8654 | |
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| 0.0154 | 9.9998 | 45903 | 0.2628 | 0.8728 | |
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| 0.0124 | 11.0000 | 50494 | 0.2812 | 0.8745 | |
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| 0.0107 | 11.9999 | 55084 | 0.2865 | 0.8734 | |
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| 0.0088 | 12.9998 | 59674 | 0.2926 | 0.8811 | |
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| 0.0067 | 13.9999 | 64265 | 0.3054 | 0.8648 | |
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| 0.0055 | 14.9999 | 68855 | 0.3151 | 0.8668 | |
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| 0.0054 | 16.0 | 73446 | 0.3202 | 0.8737 | |
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| 0.0042 | 16.9999 | 78036 | 0.3277 | 0.8695 | |
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| 0.0041 | 17.9998 | 82626 | 0.3282 | 0.8737 | |
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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 3.0.0 |
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- Tokenizers 0.20.0 |
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