metadata
license: mit
base_model: Ariffiq99/COPA_xlm_roberta_large_finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: CRAB_COPA_xlm_roberta_large_finetuned
results: []
CRAB_COPA_xlm_roberta_large_finetuned
This model is a fine-tuned version of Ariffiq99/COPA_xlm_roberta_large_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8770
- F1: 0.7431
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.2894 | 1.0 | 2880 | 1.1210 | 0.6875 |
| 1.1707 | 2.0 | 5760 | 1.0398 | 0.6931 |
| 1.2412 | 3.0 | 8640 | 0.8893 | 0.7 |
| 0.9803 | 4.0 | 11520 | 0.9840 | 0.7028 |
| 1.0594 | 5.0 | 14400 | 0.7956 | 0.7292 |
| 1.0075 | 6.0 | 17280 | 0.8607 | 0.7278 |
| 0.9799 | 7.0 | 20160 | 0.8596 | 0.7347 |
| 1.0215 | 8.0 | 23040 | 0.8770 | 0.7431 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1