xlm-roberta-base-finetuned-panx-39-langs

seddiktrk/xlm-roberta-base-finetuned-panx-39-langs

xlm-roberta-base-finetuned-panx-39-langs is a machine learning model from seddiktrk. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.

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

Downloads · 30 days

10% of all-time downloads

All-time downloads

Public

Parameters

277M

3.4 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors1.1 GB · 98%

At a glance

License: mit
Model type: xlm-roberta
Access: Public
Created: Sep 4, 2024
Updated: Sep 6, 2024
SHA: 4f6db2d3

Model card

From the Hugging Face model README

xlm-roberta-base-finetuned-panx-39-langs

This model is a fine-tuned version of seddiktrk/xlm-roberta-base-finetuned-panx-39-langs on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2441
F1: 0.8481

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.1866	0.2	375	0.2644	0.8293
0.1999	0.4	750	0.2374	0.8313
0.1946	0.6	1125	0.2375	0.8300
0.1868	0.8	1500	0.2280	0.8377
0.1854	1.0	1875	0.2179	0.8419
0.1224	1.2	2250	0.2557	0.8426
0.1261	1.4	2625	0.2493	0.8436
0.1226	1.6	3000	0.2413	0.8460
0.1247	1.8	3375	0.2440	0.8469
0.1192	2.0	3750	0.2441	0.8481

Framework versions

Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

Type: xlm-roberta
License: mit
Created: Sep 4, 2024
Updated: Sep 6, 2024