---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-hi-ta
  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-ta

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: 0.4635
- F1: 0.8674

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.4856        | 1.0   | 372  | 0.2799          | 0.7713 |
| 0.2483        | 2.0   | 744  | 0.2545          | 0.8067 |
| 0.1844        | 3.0   | 1116 | 0.2355          | 0.8147 |
| 0.1486        | 4.0   | 1488 | 0.2546          | 0.8136 |
| 0.1373        | 5.0   | 1860 | 0.2560          | 0.8167 |
| 0.0839        | 6.0   | 2232 | 0.2699          | 0.8232 |
| 0.0658        | 7.0   | 2604 | 0.3030          | 0.8209 |
| 0.05          | 8.0   | 2976 | 0.3625          | 0.8458 |
| 0.0382        | 9.0   | 3348 | 0.3777          | 0.8445 |
| 0.031         | 10.0  | 3720 | 0.3732          | 0.8514 |
| 0.0246        | 11.0  | 4092 | 0.3994          | 0.8579 |
| 0.0144        | 12.0  | 4464 | 0.4308          | 0.8507 |
| 0.0137        | 13.0  | 4836 | 0.4203          | 0.8499 |
| 0.0085        | 14.0  | 5208 | 0.4428          | 0.8613 |
| 0.0067        | 15.0  | 5580 | 0.4589          | 0.8563 |
| 0.0062        | 16.0  | 5952 | 0.4375          | 0.8609 |
| 0.0047        | 17.0  | 6324 | 0.4448          | 0.8610 |
| 0.0026        | 18.0  | 6696 | 0.4540          | 0.8624 |
| 0.0017        | 19.0  | 7068 | 0.4645          | 0.8658 |
| 0.0021        | 20.0  | 7440 | 0.4635          | 0.8674 |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3