MAL-10epoch-BertMul

Rahul-G/MAL-10epoch-BertMul

MAL-10epoch-BertMul is a text classification model from Rahul-G. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

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

Downloads · 30 days

35% of all-time downloads

All-time downloads

Public

Repo size

5.7 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin711 MB · 99%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Oct 23, 2023
Updated: Oct 23, 2023
SHA: ef3cd3ea

Try a prompt

Base models

Model card

From the Hugging Face model README

MAL-10epoch-BertMul

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

Loss: 1.3481
Accuracy: 0.6207

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: 2e-05
train_batch_size: 10
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	9	1.2016	0.4310
No log	2.0	18	1.1152	0.6897
No log	3.0	27	1.2304	0.6379
No log	4.0	36	1.2419	0.5345
No log	5.0	45	1.2358	0.6552
No log	6.0	54	1.3296	0.5517
No log	7.0	63	1.3836	0.6034
No log	8.0	72	1.3849	0.6034
No log	9.0	81	1.3630	0.6034
No log	10.0	90	1.3481	0.6207

Framework versions

Transformers 4.35.0.dev0
Pytorch 1.13.1
Datasets 2.14.5
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Oct 23, 2023
Updated: Oct 23, 2023