---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_25march_5i_v1
  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_v1

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: 0.0136

## 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: 7
- eval_batch_size: 7
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1299        | 1.0   | 4346  | 0.0804          |
| 0.0483        | 2.0   | 8692  | 0.0437          |
| 0.045         | 3.0   | 13038 | 0.0588          |
| 0.0252        | 4.0   | 17384 | 0.0343          |
| 0.0155        | 5.0   | 21730 | 0.0316          |
| 0.0216        | 6.0   | 26076 | 0.0347          |
| 0.0136        | 7.0   | 30422 | 0.0162          |
| 0.0029        | 8.0   | 34768 | 0.0129          |
| 0.0008        | 9.0   | 39114 | 0.0168          |
| 0.0028        | 10.0  | 43460 | 0.0136          |


### Framework versions

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