---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: RPA_Synth1_ON_7_Nov
  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. -->

# RPA_Synth1_ON_7_Nov

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: 0.0000

## 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: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2413        | 1.0   | 825  | 0.0210          |
| 0.034         | 2.0   | 1650 | 0.0023          |
| 0.025         | 3.0   | 2475 | 0.0009          |
| 0.007         | 4.0   | 3300 | 0.0005          |
| 0.012         | 5.0   | 4125 | 0.0084          |
| 0.0087        | 6.0   | 4950 | 0.0000          |
| 0.0009        | 7.0   | 5775 | 0.0001          |
| 0.0           | 8.0   | 6600 | 0.0000          |
| 0.0035        | 9.0   | 7425 | 0.0000          |
| 0.0           | 10.0  | 8250 | 0.0000          |
| 0.0085        | 11.0  | 9075 | 0.0000          |
| 0.0           | 12.0  | 9900 | 0.0000          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1
- Datasets 2.14.6
- Tokenizers 0.14.1