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--- |
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base_model: microsoft/infoxlm-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_infoXLM-base_syl_DSC |
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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_infoXLM-base_syl_DSC |
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This model is a fine-tuned version of [microsoft/infoxlm-base](https://huggingface.co/microsoft/infoxlm-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8322 |
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- Exact Match: 0.671 |
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- F1: 0.8432 |
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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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- 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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| 0.867 | 1.0 | 6364 | 0.7899 | 0.593 | 0.7980 | |
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| 0.7092 | 2.0 | 12728 | 0.7218 | 0.641 | 0.8262 | |
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| 0.6151 | 3.0 | 19092 | 0.6985 | 0.623 | 0.8371 | |
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| 0.4986 | 4.0 | 25456 | 0.7597 | 0.657 | 0.8500 | |
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| 0.416 | 5.0 | 31820 | 0.8322 | 0.671 | 0.8432 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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