metadata
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
model-index:
- name: token-classification-llmlingua2-xlm-roberta-42k_merge_1_epoch
results: []
token-classification-llmlingua2-xlm-roberta-42k_merge_1_epoch
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: 0.4988
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: 96
- eval_batch_size: 96
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6547 | 0.14 | 50 | 0.5426 |
| 0.5449 | 0.28 | 100 | 0.5292 |
| 0.5321 | 0.42 | 150 | 0.5176 |
| 0.5241 | 0.56 | 200 | 0.5114 |
| 0.5176 | 0.7 | 250 | 0.5059 |
| 0.5108 | 0.84 | 300 | 0.5011 |
| 0.5049 | 0.98 | 350 | 0.4990 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2