End of training
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README.md
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---
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license: mit
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base_model: Ariffiq99/e_care_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_E_CARE_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_E_CARE_xlm_roberta_large_finetuned
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This model is a fine-tuned version of [Ariffiq99/e_care_xlm_roberta_large_finetuned](https://huggingface.co/Ariffiq99/e_care_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: 0.6533
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- F1: 0.82
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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 | 0.4427 | 0.796 |
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| No log | 2.0 | 126 | 0.3930 | 0.8140 |
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| No log | 3.0 | 189 | 0.3833 | 0.83 |
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| No log | 4.0 | 252 | 0.4824 | 0.806 |
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| No log | 5.0 | 315 | 0.4836 | 0.82 |
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| No log | 6.0 | 378 | 0.5445 | 0.8140 |
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| No log | 7.0 | 441 | 0.5651 | 0.816 |
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| 0.2666 | 8.0 | 504 | 0.5990 | 0.822 |
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| 0.2666 | 9.0 | 567 | 0.6457 | 0.826 |
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| 0.2666 | 10.0 | 630 | 0.6533 | 0.82 |
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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 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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runs/Jun23_05-09-14_8ab5bbf028de/events.out.tfevents.1719119355.8ab5bbf028de.4964.0
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