---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-bid
  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-bid

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: 0.2699
- F1: 0.8780

## 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: 5e-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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.7339        | 1.0   | 23   | 1.2478          | 0.0    |
| 1.0626        | 2.0   | 46   | 0.6075          | 0.5294 |
| 0.5754        | 3.0   | 69   | 0.3023          | 0.8095 |
| 0.3271        | 4.0   | 92   | 0.3282          | 0.8095 |
| 0.265         | 5.0   | 115  | 0.2951          | 0.8571 |
| 0.1909        | 6.0   | 138  | 0.3189          | 0.7907 |
| 0.1304        | 7.0   | 161  | 0.3330          | 0.8095 |
| 0.1128        | 8.0   | 184  | 0.3141          | 0.8095 |
| 0.0808        | 9.0   | 207  | 0.2712          | 0.9268 |
| 0.0803        | 10.0  | 230  | 0.2699          | 0.8780 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3