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--- |
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license: mit |
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base_model: Ariffiq99/COPA_KUCI_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_KUCI_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_KUCI_xlm_roberta_large_finetuned |
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This model is a fine-tuned version of [Ariffiq99/COPA_KUCI_xlm_roberta_large_finetuned](https://huggingface.co/Ariffiq99/COPA_KUCI_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: 1.2852 |
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- F1: 0.7250 |
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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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| 1.1412 | 1.0 | 2880 | 1.4904 | 0.675 | |
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| 1.0659 | 2.0 | 5760 | 1.7656 | 0.6986 | |
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| 0.9118 | 3.0 | 8640 | 1.4802 | 0.7083 | |
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| 0.8833 | 4.0 | 11520 | 0.9360 | 0.7208 | |
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| 0.9054 | 5.0 | 14400 | 1.3935 | 0.7111 | |
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| 0.8062 | 6.0 | 17280 | 1.1927 | 0.7194 | |
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| 0.8188 | 7.0 | 20160 | 1.1275 | 0.7278 | |
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| 0.7608 | 8.0 | 23040 | 1.2852 | 0.7250 | |
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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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