---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_MODEL2_31jan_10i
  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_MODEL2_31jan_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: 0.0252

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6084        | 1.0   | 900  | 0.2981          |
| 0.3066        | 2.0   | 1800 | 0.0928          |
| 0.1001        | 3.0   | 2700 | 0.0803          |
| 0.0719        | 4.0   | 3600 | 0.0369          |
| 0.0595        | 5.0   | 4500 | 0.0440          |
| 0.0525        | 6.0   | 5400 | 0.0324          |
| 0.0282        | 7.0   | 6300 | 0.0287          |
| 0.0278        | 8.0   | 7200 | 0.0344          |
| 0.032         | 9.0   | 8100 | 0.0251          |
| 0.0198        | 10.0  | 9000 | 0.0252          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1