---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
base_model: xlm-roberta-base
model-index:
- name: SEMEVAL23_TASK3_SUBTASK1_MULTI
  results: []
---

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# SEMEVAL23_TASK3_SUBTASK1_MULTI

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: 0.7683
- F1: 0.6317

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.9869        | 1.0   | 40   | 0.9517          | 0.4244 |
| 0.5569        | 2.0   | 80   | 0.7365          | 0.5514 |
| 0.4559        | 3.0   | 120  | 0.7829          | 0.5348 |
| 0.2018        | 4.0   | 160  | 0.6281          | 0.6241 |
| 0.1125        | 5.0   | 200  | 0.9291          | 0.5614 |
| 0.2594        | 6.0   | 240  | 1.0367          | 0.5884 |
| 0.1883        | 7.0   | 280  | 0.7683          | 0.6317 |
| 0.1083        | 8.0   | 320  | 0.8660          | 0.6106 |
| 0.0659        | 9.0   | 360  | 0.8695          | 0.6189 |
| 0.2554        | 10.0  | 400  | 1.0094          | 0.5839 |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1
- Datasets 2.8.0
- Tokenizers 0.13.2