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---
license: mit
base_model: Ariffiq99/CRAB_COPA_xlm_roberta_large_finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: e_care_CRAB_COPA_xlm_roberta_large_finetuned
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# e_care_CRAB_COPA_xlm_roberta_large_finetuned
This model is a fine-tuned version of [Ariffiq99/CRAB_COPA_xlm_roberta_large_finetuned](https://huggingface.co/Ariffiq99/CRAB_COPA_xlm_roberta_large_finetuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6935
- F1: 0.4505
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.716 | 1.0 | 933 | 0.6931 | 0.4774 |
| 0.6972 | 2.0 | 1866 | 0.6933 | 0.4656 |
| 0.6982 | 3.0 | 2799 | 0.6933 | 0.4788 |
| 0.6955 | 4.0 | 3732 | 0.6933 | 0.4599 |
| 0.6954 | 5.0 | 4665 | 0.6935 | 0.4505 |
### Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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