---
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: []
---

<!-- 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-10k_merge_10_epoch_paper

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: 0.4556

## 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