metadata
license: mit
base_model: Ariffiq99/e_care_xlm_roberta_base_finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: COPA_E_CARE_XLM_roberta_base_finetuned
results: []
COPA_E_CARE_XLM_roberta_base_finetuned
This model is a fine-tuned version of Ariffiq99/e_care_xlm_roberta_base_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8920
- F1: 0.666
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 | 0.6792 | 0.618 |
| 0.6869 | 2.0 | 500 | 0.6399 | 0.672 |
| 0.6869 | 3.0 | 750 | 0.6307 | 0.664 |
| 0.5777 | 4.0 | 1000 | 0.7197 | 0.684 |
| 0.5777 | 5.0 | 1250 | 0.7893 | 0.668 |
| 0.4885 | 6.0 | 1500 | 0.8782 | 0.638 |
| 0.4885 | 7.0 | 1750 | 0.8920 | 0.666 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1