hbertv1-mini-wt-48-emotion

gokuls/hbertv1-mini-wt-48-emotion

hbertv1-mini-wt-48-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: Jul 21, 2023
Updated: Jul 21, 2023
SHA: 5b06d4df

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Base models

gokuls/model_v1_complete_training_wt_init_48_mini

Datasets

emotion

Model card

From the Hugging Face model README

hbertv1-mini-wt-48-emotion

This model is a fine-tuned version of gokuls/model_v1_complete_training_wt_init_48_mini on the emotion dataset. It achieves the following results on the evaluation set:

Loss: 0.2561
Accuracy: 0.908

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
1.0852	1.0	250	0.5567	0.8195
0.4522	2.0	500	0.3409	0.8775
0.3152	3.0	750	0.3007	0.8885
0.2646	4.0	1000	0.2999	0.9045
0.23	5.0	1250	0.2842	0.8945
0.205	6.0	1500	0.2658	0.9035
0.1871	7.0	1750	0.2674	0.902
0.1623	8.0	2000	0.2561	0.908
0.1488	9.0	2250	0.2529	0.9075
0.1379	10.0	2500	0.2523	0.908

Framework versions

Transformers 4.31.0
Pytorch 1.14.0a0+410ce96
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: hybridbert
Created: Jul 21, 2023
Updated: Jul 21, 2023