ALBERT_trainer_emotion – AI Model by Meet04 | AlphaNeural AI

You can deploy this model and start earning money today!

Meet04/
ALBERT_trainer_emotion

like

0

text-classification

generated_from_trainer

albert/albert-base-v2

autotrain_compatible

endpoints_compatible

Views

No views yet

ALBERT_trainer_emotion

This model is a fine-tuned version of albert-base-v2 on the emotion dataset. It achieves the following results on the evaluation set:

Loss: 0.3559
Accuracy: 0.927

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: 2e-05
train_batch_size: 20
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1217	1.0	800	0.1936	0.93
0.1054	2.0	1600	0.2105	0.9305
0.0893	3.0	2400	0.2199	0.933
0.0751	4.0	3200	0.2412	0.9375
0.0608	5.0	4000	0.2853	0.932
0.0342	6.0	4800	0.3575	0.9315
0.025	7.0	5600	0.3698	0.931

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2