Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
results – AI Model by HongJingXuan | AlphaNeural AI
You can deploy this model and start earning money today!
HongJingXuan
/
results
like
0
safetensors
distilbert
generated_from_trainer
eakashyap/product-review-sentiment-analyzer
finetune
mit
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
results
This model is a fine-tuned version of
arpitk/product-review-sentiment-analyzer
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4731
Accuracy: 0.852
F1: 0.8511
Precision: 0.8520
Recall: 0.852
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: 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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.4159
1.0
125
0.4035
0.852
0.8114
0.7852
0.852
0.2457
2.0
250
0.4440
0.856
0.8439
0.8401
0.856
0.1996
3.0
375
0.4731
0.852
0.8511
0.8520
0.852
Framework versions
Transformers 4.39.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.15.2
