Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
satisfaction-classifier – AI Model by toufiquex | AlphaNeural AI
You can deploy this model and start earning money today!
toufiquex
/
satisfaction-classifier
like
0
transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
satisfaction-classifier
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7409
Accuracy: 0.6533
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5995
1.0
14421
0.6004
0.6644
0.5859
2.0
28842
0.5985
0.6691
0.5411
3.0
43263
0.6346
0.6630
0.4888
4.0
57684
0.6668
0.6591
0.4483
5.0
72105
0.7409
0.6533
Framework versions
Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
