HBERTv1_48_L4_H768_A12_emotion

gokuls/HBERTv1_48_L4_H768_A12_emotion

HBERTv1_48_L4_H768_A12_emotion is a text classification model from gokuls. Use it when you need a label for a piece of text. It is set up for transformers.

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

Downloads · 30 days

21% of all-time downloads

All-time downloads

Public

Repo size

902 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin226 MB · 100%

At a glance

Task: Text Classification
Library: transformers
Model type: hybridbert
Access: Public
Created: Oct 4, 2023
Updated: Oct 4, 2023
SHA: 202cd8b9

Try a prompt

Base models

gokuls/HBERTv1_48_L4_H768_A12

Datasets

emotion

Model card

From the Hugging Face model README

HBERTv1_48_L4_H768_A12_emotion

This model is a fine-tuned version of gokuls/HBERTv1_48_L4_H768_A12 on the emotion dataset. It achieves the following results on the evaluation set:

Loss: 0.2888
Accuracy: 0.9015

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: 64
eval_batch_size: 64
seed: 33
distributed_type: multi-GPU
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
0.7469	1.0	250	0.3713	0.883
0.296	2.0	500	0.2890	0.893
0.2249	3.0	750	0.2888	0.9015
0.1672	4.0	1000	0.3253	0.899
0.1294	5.0	1250	0.3908	0.887
0.1003	6.0	1500	0.4053	0.8965
0.0755	7.0	1750	0.4338	0.897
0.0566	8.0	2000	0.4625	0.895
0.0399	9.0	2250	0.5459	0.892
0.0293	10.0	2500	0.5511	0.8945

Framework versions

Transformers 4.34.0
Pytorch 1.14.0a0+410ce96
Datasets 2.14.5
Tokenizers 0.14.0

Task: Text Classification
Library: transformers
Type: hybridbert
Created: Oct 4, 2023
Updated: Oct 4, 2023