---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_MODEL2_14march_10i
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# rap_phase2_MODEL2_14march_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: 0.8618

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0288        | 1.0   | 635  | 0.4846          |
| 0.1988        | 2.0   | 1270 | 0.0774          |
| 0.0674        | 3.0   | 1905 | 0.0092          |
| 0.0313        | 4.0   | 2540 | 0.0116          |
| 0.0208        | 5.0   | 3175 | 0.0008          |
| 0.0151        | 6.0   | 3810 | 0.0095          |
| 0.1051        | 7.0   | 4445 | 0.2179          |
| 0.1422        | 8.0   | 5080 | 0.5416          |
| 0.383         | 9.0   | 5715 | 1.7699          |
| 1.5649        | 10.0  | 6350 | 0.8618          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0