xlm-roberta-base-finetuned-panx-de-fr

Gachomba/xlm-roberta-base-finetuned-panx-de-fr

xlm-roberta-base-finetuned-panx-de-fr is a machine learning model from Gachomba. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

6% of all-time downloads

All-time downloads

Public

Parameters

277M

1.1 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors1.1 GB · 98%

At a glance

Library: transformers
License: mit
Model type: xlm-roberta
Access: Public
Created: Jan 28, 2024
Updated: Jan 28, 2024
SHA: 384d6b91

Base models

Model card

From the Hugging Face model README

xlm-roberta-base-finetuned-panx-de-fr

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1621
F1: 0.8603

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.2844	1.0	715	0.1861	0.8163
0.1462	2.0	1430	0.1657	0.8458
0.0961	3.0	2145	0.1621	0.8603

Framework versions

Transformers 4.37.1
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1

Library: transformers
Type: xlm-roberta
License: mit
Created: Jan 28, 2024
Updated: Jan 28, 2024