---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: SEMEVAL23_TASK3_SUBTASK1_MULTI
  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. -->

# 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: 0.7001
- F1: 0.6657

## 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.834         | 1.0   | 160  | 1.0521          | 0.3659 |
| 0.1947        | 2.0   | 320  | 0.8869          | 0.5581 |
| 1.2275        | 3.0   | 480  | 0.8091          | 0.6190 |
| 0.0098        | 4.0   | 640  | 0.6704          | 0.6538 |
| 2.6387        | 5.0   | 800  | 0.7001          | 0.6657 |
| 0.0077        | 6.0   | 960  | 1.2344          | 0.6278 |
| 0.0104        | 7.0   | 1120 | 1.3100          | 0.6379 |
| 0.0007        | 8.0   | 1280 | 1.6961          | 0.5974 |
| 0.0019        | 9.0   | 1440 | 1.4126          | 0.6530 |
| 0.0191        | 10.0  | 1600 | 1.4652          | 0.6444 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3