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---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xmlRoBert-Balanced-trimmed-10epoch-Trainer
  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. -->

# xmlRoBert-Balanced-trimmed-10epoch-Trainer

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: 1.1137
- Accuracy: 0.3125

## 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: 10
- eval_batch_size: 10
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 3    | 1.1523          | 0.25     |
| No log        | 2.0   | 6    | 1.1465          | 0.25     |
| No log        | 3.0   | 9    | 1.1425          | 0.25     |
| No log        | 4.0   | 12   | 1.1316          | 0.25     |
| No log        | 5.0   | 15   | 1.1158          | 0.25     |
| No log        | 6.0   | 18   | 1.1335          | 0.375    |
| No log        | 7.0   | 21   | 1.1214          | 0.25     |
| No log        | 8.0   | 24   | 1.1198          | 0.25     |
| No log        | 9.0   | 27   | 1.1155          | 0.25     |
| No log        | 10.0  | 30   | 1.1137          | 0.3125   |


### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 1.13.1
- Datasets 2.14.5
- Tokenizers 0.14.1