bert-base-emotion_48 – AI Model by gokuls | AlphaNeural AI

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gokuls/
bert-base-emotion_48

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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bert-base-emotion_48

This model is a fine-tuned version of gokuls/bert_base_48 on the emotion dataset. It achieves the following results on the evaluation set:

Loss: 0.3294
Accuracy: 0.8903

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
0.7185	1.0	250	0.3644	0.8735
0.2792	2.0	500	0.3189	0.887
0.1922	3.0	750	0.3294	0.893
0.1311	4.0	1000	0.3895	0.891
0.098	5.0	1250	0.3870	0.8905
0.0702	6.0	1500	0.4275	0.8895
0.05	7.0	1750	0.5372	0.886
0.0332	8.0	2000	0.5702	0.8905
0.023	9.0	2250	0.5759	0.8915
0.0176	10.0	2500	0.5959	0.891

Framework versions

Transformers 4.30.2
Pytorch 1.14.0a0+410ce96
Datasets 2.13.0
Tokenizers 0.13.3