metadata
license: mit
base_model: Ariffiq99/e_care_CRAB_COPA_xlm_roberta_base_finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: KUCI_e_care_CRAB_xlm_roberta_Base_Finetuned
results: []
KUCI_e_care_CRAB_xlm_roberta_Base_Finetuned
This model is a fine-tuned version of Ariffiq99/e_care_CRAB_COPA_xlm_roberta_base_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0274
- F1: 0.7715
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 |
|---|---|---|---|---|
| 0.6977 | 1.0 | 5196 | 0.6451 | 0.7384 |
| 0.5603 | 2.0 | 10392 | 0.6679 | 0.7591 |
| 0.4661 | 3.0 | 15588 | 0.6312 | 0.7684 |
| 0.3631 | 4.0 | 20784 | 0.7372 | 0.7654 |
| 0.2843 | 5.0 | 25980 | 0.7695 | 0.7680 |
| 0.2361 | 6.0 | 31176 | 0.9795 | 0.7702 |
| 0.2076 | 7.0 | 36372 | 1.0274 | 0.7715 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1