HBERTv1_48_L10_H64_A2_emotion – AI Model by gokuls | AlphaNeural AI

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gokuls/
HBERTv1_48_L10_H64_A2_emotion

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text-classification

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gokuls/HBERTv1_48_L10_H64_A2

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HBERTv1_48_L10_H64_A2_emotion

This model is a fine-tuned version of gokuls/HBERTv1_48_L10_H64_A2 on the emotion dataset. It achieves the following results on the evaluation set:

Loss: 0.6478
Accuracy: 0.788

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
1.6249	1.0	250	1.4994	0.4705
1.4034	2.0	500	1.2998	0.5165
1.2226	3.0	750	1.1387	0.5805
1.06	4.0	1000	0.9972	0.6415
0.9194	5.0	1250	0.8887	0.6965
0.8111	6.0	1500	0.7972	0.7395
0.7282	7.0	1750	0.7228	0.7575
0.6637	8.0	2000	0.6712	0.775
0.6108	9.0	2250	0.6478	0.788
0.585	10.0	2500	0.6436	0.7865

Framework versions

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