---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: roberta-finetuned-WebClassification-v2-smalllinguaENv2
  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. -->

# roberta-finetuned-WebClassification-v2-smalllinguaENv2

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: 1.8560
- Accuracy: 0.525
- F1: 0.525
- Precision: 0.525
- Recall: 0.525

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| No log        | 1.0   | 20   | 2.9637          | 0.1      | 0.1000 | 0.1       | 0.1    |
| No log        | 2.0   | 40   | 2.7821          | 0.225    | 0.225  | 0.225     | 0.225  |
| No log        | 3.0   | 60   | 2.5523          | 0.4      | 0.4000 | 0.4       | 0.4    |
| No log        | 4.0   | 80   | 2.3580          | 0.4      | 0.4000 | 0.4       | 0.4    |
| No log        | 5.0   | 100  | 2.2043          | 0.375    | 0.375  | 0.375     | 0.375  |
| No log        | 6.0   | 120  | 2.0265          | 0.475    | 0.4750 | 0.475     | 0.475  |
| No log        | 7.0   | 140  | 1.9271          | 0.5      | 0.5    | 0.5       | 0.5    |
| No log        | 8.0   | 160  | 1.8560          | 0.525    | 0.525  | 0.525     | 0.525  |
| No log        | 9.0   | 180  | 1.8013          | 0.525    | 0.525  | 0.525     | 0.525  |
| No log        | 10.0  | 200  | 1.7784          | 0.525    | 0.525  | 0.525     | 0.525  |


### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3