---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xmlRoBert-Balanced-trimmed-20epoch
  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-20epoch

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: 1.0586
- Accuracy: 0.4545

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 4    | 1.0327          | 0.5      |
| No log        | 2.0   | 8    | 0.9829          | 0.5      |
| No log        | 3.0   | 12   | 1.0224          | 0.5      |
| No log        | 4.0   | 16   | 0.9787          | 0.5      |
| No log        | 5.0   | 20   | 0.9988          | 0.5      |
| No log        | 6.0   | 24   | 0.9854          | 0.5      |
| No log        | 7.0   | 28   | 0.9853          | 0.5      |
| No log        | 8.0   | 32   | 1.0182          | 0.5455   |
| No log        | 9.0   | 36   | 1.0077          | 0.5      |
| No log        | 10.0  | 40   | 1.0143          | 0.5      |
| No log        | 11.0  | 44   | 1.0110          | 0.5      |
| No log        | 12.0  | 48   | 0.9900          | 0.5      |
| No log        | 13.0  | 52   | 0.9904          | 0.5      |
| No log        | 14.0  | 56   | 1.0003          | 0.4545   |
| No log        | 15.0  | 60   | 1.0287          | 0.5455   |
| No log        | 16.0  | 64   | 1.0526          | 0.5455   |
| No log        | 17.0  | 68   | 1.0608          | 0.5      |
| No log        | 18.0  | 72   | 1.0643          | 0.5      |
| No log        | 19.0  | 76   | 1.0631          | 0.5      |
| No log        | 20.0  | 80   | 1.0586          | 0.4545   |


### Framework versions

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