---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_01dec
  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_01dec

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: 0.0046

## 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: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.1838        | 1.0   | 12474  | 0.1158          |
| 0.1041        | 2.0   | 24948  | 0.0534          |
| 0.0915        | 3.0   | 37422  | 0.0270          |
| 0.0293        | 4.0   | 49896  | 0.0213          |
| 0.0151        | 5.0   | 62370  | 0.0156          |
| 0.0426        | 6.0   | 74844  | 0.0110          |
| 0.0138        | 7.0   | 87318  | 0.0088          |
| 0.0           | 8.0   | 99792  | 0.0056          |
| 0.0075        | 9.0   | 112266 | 0.0053          |
| 0.0           | 10.0  | 124740 | 0.0046          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0