---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: xlm-roberta-base-Balance_Mixed-train
  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. -->

# xlm-roberta-base-Balance_Mixed-train

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: 0.8559
- Accuracy: 0.76
- F1: 0.7650

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.096         | 1.0   | 88   | 0.9979          | 0.58     | 0.5233 |
| 0.9527        | 2.0   | 176  | 0.7392          | 0.64     | 0.6155 |
| 0.7541        | 3.0   | 264  | 0.6740          | 0.73     | 0.7118 |
| 0.5891        | 4.0   | 352  | 0.5188          | 0.8      | 0.7962 |
| 0.4599        | 5.0   | 440  | 0.5250          | 0.83     | 0.8328 |
| 0.3926        | 6.0   | 528  | 0.6659          | 0.79     | 0.7918 |
| 0.2917        | 7.0   | 616  | 0.7910          | 0.77     | 0.7717 |
| 0.2835        | 8.0   | 704  | 0.8559          | 0.76     | 0.7650 |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3