---
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
model-index:
- name: token-classification-llmlingua2-xlm-roberta-42k_merge_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-42k_merge_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: 0.3844

## 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   | 356  | 0.4778          |
| 0.5004        | 2.0   | 712  | 0.4424          |
| 0.4305        | 3.0   | 1068 | 0.3954          |
| 0.4305        | 4.0   | 1424 | 0.3983          |
| 0.3975        | 5.0   | 1780 | 0.4055          |
| 0.3756        | 6.0   | 2136 | 0.4006          |
| 0.3756        | 7.0   | 2492 | 0.3892          |
| 0.3587        | 8.0   | 2848 | 0.3958          |
| 0.3451        | 9.0   | 3204 | 0.3844          |
| 0.3355        | 10.0  | 3560 | 0.3947          |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2