metadata
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
model-index:
- name: >-
token-classification-llmlingua2-xlm-roberta-bctn-2308_sample-5_epoch_best_data
results: []
token-classification-llmlingua2-xlm-roberta-bctn-2308_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: 0.2140
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 | 1.0 | 115 | 0.2281 |
| No log | 1.99 | 230 | 0.2221 |
| No log | 3.0 | 346 | 0.2195 |
| No log | 4.0 | 461 | 0.2152 |
| 0.2368 | 4.98 | 575 | 0.2140 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2