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--- |
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license: mit |
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base_model: Ariffiq99/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: 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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# COPA_KUCI_xlm_roberta_large_finetuned |
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This model is a fine-tuned version of [Ariffiq99/KUCI_xlm_roberta_large_Finetuned](https://huggingface.co/Ariffiq99/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: 0.8801 |
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- F1: 0.804 |
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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: 10 |
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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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| No log | 1.0 | 63 | 0.4875 | 0.7940 | |
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| No log | 2.0 | 126 | 0.4386 | 0.822 | |
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| No log | 3.0 | 189 | 0.4488 | 0.816 | |
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| No log | 4.0 | 252 | 0.5310 | 0.82 | |
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| No log | 5.0 | 315 | 0.5756 | 0.816 | |
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| No log | 6.0 | 378 | 0.7060 | 0.8140 | |
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| No log | 7.0 | 441 | 0.7825 | 0.806 | |
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| 0.2719 | 8.0 | 504 | 0.7823 | 0.806 | |
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| 0.2719 | 9.0 | 567 | 0.8782 | 0.806 | |
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| 0.2719 | 10.0 | 630 | 0.8801 | 0.804 | |
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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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