---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_19march_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_19march_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: 0.0178

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1477        | 1.0   | 4295  | 0.0859          |
| 0.0574        | 2.0   | 8590  | 0.0485          |
| 0.0295        | 3.0   | 12885 | 0.0388          |
| 0.0311        | 4.0   | 17180 | 0.0336          |
| 0.0169        | 5.0   | 21475 | 0.0275          |
| 0.0169        | 6.0   | 25770 | 0.0245          |
| 0.0037        | 7.0   | 30065 | 0.0204          |
| 0.0024        | 8.0   | 34360 | 0.0164          |
| 0.004         | 9.0   | 38655 | 0.0187          |
| 0.0           | 10.0  | 42950 | 0.0178          |


### Framework versions

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