HBERTv1_48_L6_H256_A4_emotion

gokuls/HBERTv1_48_L6_H256_A4_emotion

HBERTv1_48_L6_H256_A4_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. --

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At a glance

Task: Text Classification
Library: transformers
Model type: hybridbert
Access: Public
Created: Oct 4, 2023
Updated: Oct 4, 2023
SHA: 74281f3d

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Base models

gokuls/HBERTv1_48_L6_H256_A4

Datasets

emotion

Model card

From the Hugging Face model README

HBERTv1_48_L6_H256_A4_emotion

This model is a fine-tuned version of gokuls/HBERTv1_48_L6_H256_A4 on the emotion dataset. It achieves the following results on the evaluation set:

Loss: 0.3311
Accuracy: 0.8935

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
1.2986	1.0	250	0.9415	0.6795
0.6977	2.0	500	0.5232	0.839
0.4233	3.0	750	0.4088	0.8685
0.3033	4.0	1000	0.3795	0.8725
0.2437	5.0	1250	0.3531	0.885
0.1942	6.0	1500	0.3373	0.8805
0.1583	7.0	1750	0.3311	0.8935
0.1374	8.0	2000	0.3633	0.885
0.1186	9.0	2250	0.3696	0.8875
0.1018	10.0	2500	0.3821	0.884

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