---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_25march_5i
  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_25march_5i

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: 0.0191

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.2245        | 1.0   | 6084  | 0.0987          |
| 0.0738        | 2.0   | 12168 | 0.0736          |
| 0.0565        | 3.0   | 18252 | 0.0489          |
| 0.0362        | 4.0   | 24336 | 0.0465          |
| 0.0225        | 5.0   | 30420 | 0.0284          |
| 0.0189        | 6.0   | 36504 | 0.0350          |
| 0.0174        | 7.0   | 42588 | 0.0210          |
| 0.004         | 8.0   | 48672 | 0.0182          |
| 0.0048        | 9.0   | 54756 | 0.0177          |
| 0.0006        | 10.0  | 60840 | 0.0191          |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0