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---
license: mit
base_model: Ariffiq99/KUCI_e_care_CRAB_xlm_roberta_Base_Finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: COPA_KUCI_e_care_CRAB_xlm_roberta_base_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. -->
# COPA_KUCI_e_care_CRAB_xlm_roberta_base_finetuned
This model is a fine-tuned version of [Ariffiq99/KUCI_e_care_CRAB_xlm_roberta_Base_Finetuned](https://huggingface.co/Ariffiq99/KUCI_e_care_CRAB_xlm_roberta_Base_Finetuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3472
- F1: 0.646
## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:-----:|
| No log | 1.0 | 250 | 0.6419 | 0.614 |
| 0.6799 | 2.0 | 500 | 0.6238 | 0.654 |
| 0.6799 | 3.0 | 750 | 0.6344 | 0.646 |
| 0.5169 | 4.0 | 1000 | 1.0708 | 0.64 |
| 0.5169 | 5.0 | 1250 | 1.0799 | 0.636 |
| 0.431 | 6.0 | 1500 | 1.2484 | 0.656 |
| 0.431 | 7.0 | 1750 | 1.3472 | 0.646 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1