---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_08dec_08i
  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. -->

# rap_phase2_08dec_08i

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: 0.0042

## 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: 3
- eval_batch_size: 3
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.6647        | 1.0   | 5964  | 0.3400          |
| 0.2168        | 2.0   | 11928 | 0.1407          |
| 0.1244        | 3.0   | 17892 | 0.0781          |
| 0.0903        | 4.0   | 23856 | 0.0793          |
| 0.0792        | 5.0   | 29820 | 0.0239          |
| 0.0386        | 6.0   | 35784 | 0.0293          |
| 0.005         | 7.0   | 41748 | 0.0326          |
| 0.0072        | 8.0   | 47712 | 0.0193          |
| 0.0056        | 9.0   | 53676 | 0.0108          |
| 0.0027        | 10.0  | 59640 | 0.0042          |


### Framework versions

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