baseline_nli_xlmr

jalaluddin94/baseline_nli_xlmr

baseline_nli_xlmr is a text classification model from jalaluddin94. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: xlm-roberta
Access: Public
Created: Aug 31, 2023
Updated: Aug 31, 2023
SHA: a2eaf3e3

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Model card

From the Hugging Face model README

baseline_nli_xlmr

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

Loss: 0.8598
Accuracy: 0.6427
Precision: 0.6427
Recall: 0.6427
F1 Score: 0.6445

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: 3e-06
train_batch_size: 12
eval_batch_size: 12
seed: 101
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1 Score
1.0805	1.0	861	0.9653	0.5594	0.5594	0.5594	0.5629
0.9651	2.0	1722	0.9542	0.5762	0.5762	0.5762	0.5786
0.9313	3.0	2583	0.9236	0.5922	0.5922	0.5922	0.5928
0.8886	4.0	3444	0.8775	0.6409	0.6409	0.6409	0.6429
0.8656	5.0	4305	0.8727	0.6327	0.6327	0.6327	0.6350
0.8521	6.0	5166	0.8598	0.6427	0.6427	0.6427	0.6445

Framework versions

Transformers 4.30.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Aug 31, 2023
Updated: Aug 31, 2023