metadata
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
model-index:
- name: >-
token-classification-llmlingua2-xlm-roberta-bctn-852_sample-5_epoch_best_data
results: []
token-classification-llmlingua2-xlm-roberta-bctn-852_sample-5_epoch_best_data
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: 0.2243
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
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- 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 |
|---|---|---|---|
| No log | 0.99 | 42 | 0.2380 |
| No log | 2.0 | 85 | 0.2288 |
| No log | 2.98 | 127 | 0.2243 |
| No log | 3.99 | 170 | 0.2246 |
| No log | 4.93 | 210 | 0.2251 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2