---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: rm23_ctry_v2lr
  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. -->

# rm23_ctry_v2lr

This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2185
- F1: 0.9566

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.2088        | 1.0   | 17996 | 0.1879          | 0.9311 |
| 0.1477        | 2.0   | 35992 | 0.1772          | 0.9467 |
| 0.1006        | 3.0   | 53988 | 0.2101          | 0.9508 |
| 0.0615        | 4.0   | 71984 | 0.2185          | 0.9566 |


### Framework versions

- Transformers 4.29.1
- Pytorch 1.13.1
- Datasets 2.12.0
- Tokenizers 0.13.3