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--- |
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license: mit |
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base_model: Ariffiq99/e_care_CRAB_COPA_xlm_roberta_base_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: KUCI_e_care_CRAB_xlm_roberta_Base_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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# KUCI_e_care_CRAB_xlm_roberta_Base_Finetuned |
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This model is a fine-tuned version of [Ariffiq99/e_care_CRAB_COPA_xlm_roberta_base_finetuned](https://huggingface.co/Ariffiq99/e_care_CRAB_COPA_xlm_roberta_base_finetuned) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0274 |
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- F1: 0.7715 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 7 |
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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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| 0.6977 | 1.0 | 5196 | 0.6451 | 0.7384 | |
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| 0.5603 | 2.0 | 10392 | 0.6679 | 0.7591 | |
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| 0.4661 | 3.0 | 15588 | 0.6312 | 0.7684 | |
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| 0.3631 | 4.0 | 20784 | 0.7372 | 0.7654 | |
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| 0.2843 | 5.0 | 25980 | 0.7695 | 0.7680 | |
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| 0.2361 | 6.0 | 31176 | 0.9795 | 0.7702 | |
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| 0.2076 | 7.0 | 36372 | 1.0274 | 0.7715 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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