metadata
license: mit
base_model: Ariffiq99/COPA_xlm_roberta_base_finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: e_care_COPA_xlm_roberta_large_finetuned
results: []
e_care_COPA_xlm_roberta_large_finetuned
This model is a fine-tuned version of Ariffiq99/COPA_xlm_roberta_base_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5818
- F1: 0.6744
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.6938 | 1.0 | 933 | 0.6374 | 0.5999 |
| 0.6404 | 2.0 | 1866 | 0.6066 | 0.6329 |
| 0.62 | 3.0 | 2799 | 0.5958 | 0.6550 |
| 0.5887 | 4.0 | 3732 | 0.5867 | 0.6659 |
| 0.5705 | 5.0 | 4665 | 0.5818 | 0.6744 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1