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--- |
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license: mit |
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base_model: VietAI/vit5-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: MRC_ER_vit5-base_syl_ViWikiFC |
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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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# MRC_ER_vit5-base_syl_ViWikiFC |
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This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.6043 |
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- Exact Match: 0.8057 |
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- F1: 0.8304 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Exact Match | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:-----------:|:------:| |
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| 0.5884 | 1.0 | 2093 | 1.6800 | 0.7866 | 0.8201 | |
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| 0.4403 | 2.0 | 4186 | 1.7782 | 0.8029 | 0.8295 | |
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| 0.2864 | 3.0 | 6279 | 2.1889 | 0.8067 | 0.8301 | |
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| 0.2193 | 4.0 | 8372 | 3.0962 | 0.8096 | 0.8337 | |
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| 0.1426 | 5.0 | 10465 | 3.6043 | 0.8057 | 0.8304 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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