---
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
model-index:
- name: token-classification-llmlingua2-xlm-roberta-41k_remove_stop_word_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-41k_remove_stop_word_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: 0.2371

## 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: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2156        | 0.1   | 50   | 0.3222          |
| 0.143         | 0.19  | 100  | 0.2533          |
| 0.131         | 0.29  | 150  | 0.2444          |
| 0.1297        | 0.39  | 200  | 0.2433          |
| 0.1282        | 0.48  | 250  | 0.2413          |
| 0.1272        | 0.58  | 300  | 0.2436          |
| 0.125         | 0.68  | 350  | 0.2382          |
| 0.1274        | 0.77  | 400  | 0.2383          |
| 0.1263        | 0.87  | 450  | 0.2376          |
| 0.1232        | 0.97  | 500  | 0.2371          |


### Framework versions

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