---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_11dec_10i
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# rap_phase2_11dec_10i

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0134

## 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: 2e-05
- train_batch_size: 5
- eval_batch_size: 5
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.2372        | 1.0   | 4755  | 0.1957          |
| 0.066         | 2.0   | 9510  | 0.0501          |
| 0.1608        | 3.0   | 14265 | 0.0452          |
| 0.0393        | 4.0   | 19020 | 0.0218          |
| 0.0362        | 5.0   | 23775 | 0.0279          |
| 0.0321        | 6.0   | 28530 | 0.0127          |
| 0.011         | 7.0   | 33285 | 0.0171          |
| 0.0116        | 8.0   | 38040 | 0.0096          |
| 0.0           | 9.0   | 42795 | 0.0111          |
| 0.0001        | 10.0  | 47550 | 0.0134          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0