---
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
model-index:
- name: token-classification-llmlingua2-xlm-roberta-bctn-2308_sample-5_epoch_best_data
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# token-classification-llmlingua2-xlm-roberta-bctn-2308_sample-5_epoch_best_data

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: 0.2140

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 115  | 0.2281          |
| No log        | 1.99  | 230  | 0.2221          |
| No log        | 3.0   | 346  | 0.2195          |
| No log        | 4.0   | 461  | 0.2152          |
| 0.2368        | 4.98  | 575  | 0.2140          |


### Framework versions

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