---
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
model-index:
- name: token-classification-llmlingua2-xlm-roberta-42k_merge_1_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_1_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: 0.4988

## 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6547        | 0.14  | 50   | 0.5426          |
| 0.5449        | 0.28  | 100  | 0.5292          |
| 0.5321        | 0.42  | 150  | 0.5176          |
| 0.5241        | 0.56  | 200  | 0.5114          |
| 0.5176        | 0.7   | 250  | 0.5059          |
| 0.5108        | 0.84  | 300  | 0.5011          |
| 0.5049        | 0.98  | 350  | 0.4990          |


### Framework versions

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