---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_MODEL2_14march_08i
  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_08i

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: 0.0056

## 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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6723        | 1.0   | 1016 | 0.4252          |
| 0.4089        | 2.0   | 2032 | 0.3294          |
| 0.203         | 3.0   | 3048 | 0.1063          |
| 0.0846        | 4.0   | 4064 | 0.2063          |
| 0.0749        | 5.0   | 5080 | 0.0256          |
| 0.0208        | 6.0   | 6096 | 0.0063          |
| 0.0021        | 7.0   | 7112 | 0.0135          |
| 0.0074        | 8.0   | 8128 | 0.0056          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0