hbertv1-emotion-logit_KD_new – AI Model by gokuls | AlphaNeural AI

You can deploy this model and start earning money today!

gokuls/
hbertv1-emotion-logit_KD_new

like

0

text-classification

generated_from_trainer

gokuls/bert_12_layer_model_v1_complete_training_new_48

autotrain_compatible

endpoints_compatible

Views

No views yet

hbertv1-emotion-logit_KD_new

This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new_48 on the emotion dataset. It achieves the following results on the evaluation set:

Loss: 0.6758
Accuracy: 0.884

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: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.3717	1.0	250	1.7665	0.6635
1.3315	2.0	500	1.1797	0.7825
0.9074	3.0	750	0.7837	0.864
0.636	4.0	1000	0.7591	0.861
0.5276	5.0	1250	0.7692	0.85
0.4694	6.0	1500	0.7129	0.871
0.4317	7.0	1750	0.6381	0.8765
0.3791	8.0	2000	0.6646	0.879
0.3551	9.0	2250	0.6414	0.882
0.3236	10.0	2500	0.6436	0.8795
0.301	11.0	2750	0.6758	0.884
0.2854	12.0	3000	0.6706	0.8695
0.2698	13.0	3250	0.6216	0.8825
0.2554	14.0	3500	0.6592	0.879
0.2311	15.0	3750	0.7509	0.877
0.2275	16.0	4000	0.7177	0.8775

Framework versions

Transformers 4.35.2
Pytorch 1.14.0a0+410ce96
Datasets 2.15.0
Tokenizers 0.15.0