16class_11k_newtest_xlm_roberta_base_25nov_v2_8epoch

dsmsb/16class_11k_newtest_xlm_roberta_base_25nov_v2_8epoch

16class_11k_newtest_xlm_roberta_base_25nov_v2_8epoch is a text classification model from dsmsb. 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: Nov 25, 2023
Updated: Nov 25, 2023
SHA: 466f3e5e

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Base models

Model card

From the Hugging Face model README

16class_11k_newtest_xlm_roberta_base_25nov_v2_8epoch

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: 0.1142
Accuracy: 0.9706

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: 1e-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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.7244	1.0	826	0.6693	0.8036
0.6119	2.0	1652	0.4189	0.8734
0.5004	3.0	2478	0.3088	0.9141
0.3626	4.0	3304	0.2287	0.9339
0.2776	5.0	4130	0.1735	0.9513
0.2445	6.0	4956	0.1446	0.9606
0.1944	7.0	5782	0.1192	0.9682
0.1633	8.0	6608	0.1142	0.9706

Framework versions

Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Nov 25, 2023
Updated: Nov 25, 2023