---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_MODEL2_22jan_15i
  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_22jan_15i

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: 0.0245

## 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: 6
- eval_batch_size: 6
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5023        | 1.0   | 990  | 0.2146          |
| 0.1764        | 2.0   | 1980 | 0.0279          |
| 0.1017        | 3.0   | 2970 | 0.0540          |
| 0.1148        | 4.0   | 3960 | 0.0332          |
| 0.0769        | 5.0   | 4950 | 0.1151          |
| 0.0564        | 6.0   | 5940 | 0.0497          |
| 0.0606        | 7.0   | 6930 | 0.0357          |
| 0.0219        | 8.0   | 7920 | 0.0250          |
| 0.023         | 9.0   | 8910 | 0.0252          |
| 0.0223        | 10.0  | 9900 | 0.0245          |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1