hbertv1-mini-wt-48-emotion-emb-comp – AI Model by gokuls | AlphaNeural AI

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gokuls/
hbertv1-mini-wt-48-emotion-emb-comp

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text-classification

generated_from_trainer

gokuls/model_v1_complete_training_wt_init_48_mini_emb_comp

autotrain_compatible

endpoints_compatible

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hbertv1-mini-wt-48-emotion-emb-comp

This model is a fine-tuned version of gokuls/model_v1_complete_training_wt_init_48_mini_emb_comp on the emotion dataset. It achieves the following results on the evaluation set:

Loss: 0.4402
Accuracy: 0.8805

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
1.0839	1.0	250	0.6587	0.7955
0.4815	2.0	500	0.4329	0.856
0.3295	3.0	750	0.3928	0.872
0.2582	4.0	1000	0.3775	0.866
0.21	5.0	1250	0.4137	0.8685
0.172	6.0	1500	0.4082	0.8645
0.1415	7.0	1750	0.4197	0.869
0.1153	8.0	2000	0.4380	0.872
0.0975	9.0	2250	0.4402	0.8805
0.0826	10.0	2500	0.4473	0.88

Framework versions

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