metadata
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: clef1eng
results: []
clef1eng
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3082
- F1: 0.7683
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: 3e-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 |
|---|---|---|---|---|
| 0.417 | 0.3949 | 500 | 0.3184 | 0.7343 |
| 0.3081 | 0.7899 | 1000 | 0.3171 | 0.7185 |
| 0.2713 | 1.1848 | 1500 | 0.3191 | 0.7559 |
| 0.2528 | 1.5798 | 2000 | 0.3118 | 0.7552 |
| 0.2489 | 1.9747 | 2500 | 0.3082 | 0.7683 |
| 0.2225 | 2.3697 | 3000 | 0.3392 | 0.7706 |
| 0.2181 | 2.7646 | 3500 | 0.3100 | 0.7616 |
| 0.2088 | 3.1596 | 4000 | 0.3271 | 0.7649 |
| 0.2149 | 3.5545 | 4500 | 0.3486 | 0.7644 |
| 0.2126 | 3.9494 | 5000 | 0.3419 | 0.7711 |
| 0.2145 | 4.3444 | 5500 | 0.3319 | 0.7651 |
| 0.204 | 4.7393 | 6000 | 0.3373 | 0.7723 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1