---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_06dec_10i
  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_06dec_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: 0.0203

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3092        | 1.0   | 6405  | 0.1451          |
| 0.1368        | 2.0   | 12810 | 0.0842          |
| 0.0608        | 3.0   | 19215 | 0.0600          |
| 0.0154        | 4.0   | 25620 | 0.0241          |
| 0.0371        | 5.0   | 32025 | 0.0403          |
| 0.0134        | 6.0   | 38430 | 0.0278          |
| 0.0118        | 7.0   | 44835 | 0.0772          |
| 0.0052        | 8.0   | 51240 | 0.0285          |
| 0.0051        | 9.0   | 57645 | 0.0247          |
| 0.0057        | 10.0  | 64050 | 0.0203          |


### Framework versions

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