Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
AlbertResults2 – AI Model by hamzasidat | AlphaNeural AI
You can deploy this model and start earning money today!
hamzasidat
/
AlbertResults2
like
0
transformers
tensorboard
safetensors
albert
text-classification
generated_from_trainer
emotion
albert/albert-base-v2
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
AlbertResults2
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: 0.1619
Accuracy: 0.931
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: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3348
1.0
1000
0.2663
0.9075
0.1566
2.0
2000
0.1619
0.931
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
