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---
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
model-index:
- name: token-classification-llmlingua2-xlm-roberta-bctn-538_sample-10_epoch
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# token-classification-llmlingua2-xlm-roberta-bctn-538_sample-10_epoch
This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5526
## 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: 4
- eval_batch_size: 4
- 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 | 108 | 0.5838 |
| No log | 2.0 | 216 | 0.5774 |
| No log | 3.0 | 324 | 0.5648 |
| No log | 4.0 | 432 | 0.5918 |
| 0.5406 | 5.0 | 540 | 0.5526 |
| 0.5406 | 6.0 | 648 | 0.5939 |
| 0.5406 | 7.0 | 756 | 0.5937 |
| 0.5406 | 8.0 | 864 | 0.5791 |
| 0.5406 | 9.0 | 972 | 0.6025 |
| 0.4161 | 10.0 | 1080 | 0.5947 |
### Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
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