---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_22jan_8i_v1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# rap_phase2_22jan_8i_v1

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0041

## 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.1006        | 1.0   | 12024  | 0.0713          |
| 0.026         | 2.0   | 24048  | 0.0370          |
| 0.0404        | 3.0   | 36072  | 0.0359          |
| 0.0288        | 4.0   | 48096  | 0.0100          |
| 0.0131        | 5.0   | 60120  | 0.0152          |
| 0.0181        | 6.0   | 72144  | 0.0067          |
| 0.0156        | 7.0   | 84168  | 0.0031          |
| 0.0           | 8.0   | 96192  | 0.0038          |
| 0.0           | 9.0   | 108216 | 0.0043          |
| 0.0006        | 10.0  | 120240 | 0.0041          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3