metadata
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: CRAB_xlm_roberta_large_finetuned
results: []
CRAB_xlm_roberta_large_finetuned
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0117
- F1: 0.7278
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 |
|---|---|---|---|---|
| 1.3505 | 1.0 | 2880 | 1.1889 | 0.6375 |
| 1.0303 | 2.0 | 5760 | 1.2069 | 0.6819 |
| 1.0223 | 3.0 | 8640 | 1.1814 | 0.675 |
| 1.154 | 4.0 | 11520 | 0.9964 | 0.6722 |
| 0.8642 | 5.0 | 14400 | 0.9703 | 0.7 |
| 0.773 | 6.0 | 17280 | 1.0314 | 0.6931 |
| 0.7892 | 7.0 | 20160 | 1.0537 | 0.7139 |
| 0.8371 | 8.0 | 23040 | 1.0117 | 0.7278 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1