Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
finetuning-sentiment-model-3000-samples – AI Model by daniel780 | AlphaNeural AI
You can deploy this model and start earning money today!
daniel780
/
finetuning-sentiment-model-3000-samples
like
0
transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
amazon_polarity
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of
distilbert-base-uncased
on the amazon_polarity dataset. It achieves the following results on the evaluation set:
Loss: 0.4356
Accuracy: 0.8067
F1: 0.8079
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 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1
