metadata
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
model-index:
- name: token-classification-llmlingua2-xlm-roberta-10k_merge_10_epoch_paper
results: []
token-classification-llmlingua2-xlm-roberta-10k_merge_10_epoch_paper
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: 0.4556
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 85 | 0.5432 |
| No log | 2.0 | 170 | 0.5281 |
| No log | 3.0 | 255 | 0.5116 |
| No log | 4.0 | 340 | 0.4937 |
| No log | 5.0 | 425 | 0.4692 |
| 0.5227 | 6.0 | 510 | 0.4757 |
| 0.5227 | 7.0 | 595 | 0.4698 |
| 0.5227 | 8.0 | 680 | 0.4603 |
| 0.5227 | 9.0 | 765 | 0.4556 |
| 0.5227 | 10.0 | 850 | 0.4579 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2