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---
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
model-index:
- name: token-classification-llmlingua2-xlm-roberta-bctn-1470_chunk_10epoch_best
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-bctn-1470_chunk_10epoch_best
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: 0.1523
## 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: 32
- eval_batch_size: 32
- 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 | 37 | 0.2328 |
| No log | 2.0 | 74 | 0.1659 |
| No log | 3.0 | 111 | 0.1562 |
| No log | 4.0 | 148 | 0.1558 |
| No log | 5.0 | 185 | 0.1537 |
| No log | 6.0 | 222 | 0.1548 |
| No log | 7.0 | 259 | 0.1523 |
| No log | 8.0 | 296 | 0.1533 |
| No log | 9.0 | 333 | 0.1529 |
| No log | 10.0 | 370 | 0.1529 |
### Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
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