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--- |
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license: mit |
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base_model: Ariffiq99/COPA_xlm_roberta_large_finetuned |
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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: CRAB_COPA_xlm_roberta_large_finetuned |
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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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# CRAB_COPA_xlm_roberta_large_finetuned |
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This model is a fine-tuned version of [Ariffiq99/COPA_xlm_roberta_large_finetuned](https://huggingface.co/Ariffiq99/COPA_xlm_roberta_large_finetuned) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8770 |
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- F1: 0.7431 |
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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: 1 |
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- eval_batch_size: 1 |
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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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 1.2894 | 1.0 | 2880 | 1.1210 | 0.6875 | |
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| 1.1707 | 2.0 | 5760 | 1.0398 | 0.6931 | |
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| 1.2412 | 3.0 | 8640 | 0.8893 | 0.7 | |
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| 0.9803 | 4.0 | 11520 | 0.9840 | 0.7028 | |
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| 1.0594 | 5.0 | 14400 | 0.7956 | 0.7292 | |
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| 1.0075 | 6.0 | 17280 | 0.8607 | 0.7278 | |
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| 0.9799 | 7.0 | 20160 | 0.8596 | 0.7347 | |
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| 1.0215 | 8.0 | 23040 | 0.8770 | 0.7431 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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