---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_11jan_15i_v1
  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_11jan_15i_v1

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: 0.0014

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1069        | 1.0   | 4290  | 0.0659          |
| 0.0986        | 2.0   | 8580  | 0.0359          |
| 0.0231        | 3.0   | 12870 | 0.0062          |
| 0.0245        | 4.0   | 17160 | 0.0156          |
| 0.0285        | 5.0   | 21450 | 0.0244          |
| 0.0082        | 6.0   | 25740 | 0.0249          |
| 0.0083        | 7.0   | 30030 | 0.0008          |
| 0.0019        | 8.0   | 34320 | 0.0018          |
| 0.0           | 9.0   | 38610 | 0.0014          |
| 0.0059        | 10.0  | 42900 | 0.0014          |


### Framework versions

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