Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
finetuning-sentiment-model – AI Model by Jaskaransingh98 | AlphaNeural AI
You can deploy this model and start earning money today!
Jaskaransingh98
/
finetuning-sentiment-model
like
0
transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
finetuning-sentiment-model
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: 0.2715
Accuracy: 0.9067
F1: 0.9034
Recall: 0.9097
Precision: 0.8973
Confusion Matrix: [[141 15] [ 13 131]]
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
