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---
license: mit
base_model: Ariffiq99/e_care_xlm_roberta_base_finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: KUCI_e_care_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. -->
# KUCI_e_care_xlm_roberta_base_Finetuned
This model is a fine-tuned version of [Ariffiq99/e_care_xlm_roberta_base_finetuned](https://huggingface.co/Ariffiq99/e_care_xlm_roberta_base_finetuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0348
- F1: 0.7682
## 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: 7
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.6965 | 1.0 | 5196 | 0.6542 | 0.7443 |
| 0.5632 | 2.0 | 10392 | 0.6754 | 0.7591 |
| 0.4634 | 3.0 | 15588 | 0.6456 | 0.7680 |
| 0.3661 | 4.0 | 20784 | 0.7082 | 0.7657 |
| 0.2783 | 5.0 | 25980 | 0.7899 | 0.7678 |
| 0.2305 | 6.0 | 31176 | 0.9280 | 0.7655 |
| 0.2057 | 7.0 | 36372 | 1.0348 | 0.7682 |
### Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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