---
license: mit
base_model: DeepaPeri/xlm-roberta-base-finetuned-panx-hi-5-epochs
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-hi-5-epochs
  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-roberta-base-finetuned-panx-hi-5-epochs

This model is a fine-tuned version of [DeepaPeri/xlm-roberta-base-finetuned-panx-hi-5-epochs](https://huggingface.co/DeepaPeri/xlm-roberta-base-finetuned-panx-hi-5-epochs) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2936
- F1: 0.8848

## 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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.168         | 1.0   | 168  | 0.3044          | 0.8586 |
| 0.1187        | 2.0   | 336  | 0.2836          | 0.8640 |
| 0.0848        | 3.0   | 504  | 0.2728          | 0.8800 |
| 0.0528        | 4.0   | 672  | 0.2969          | 0.8959 |
| 0.0308        | 5.0   | 840  | 0.2936          | 0.8848 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2