Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
wk3ex_bert_imdb_sentiment – AI Model by Kelmeilia | AlphaNeural AI
You can deploy this model and start earning money today!
Kelmeilia
/
wk3ex_bert_imdb_sentiment
like
0
safetensors
distilbert
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
library_name: transformers license: apache-2.0 base_model: distilbert-base-uncased tags:
generated_from_trainer metrics:
accuracy
precision
recall
f1 model-index:
name: wk3ex_bert_imdb_sentiment results: [] datasets: Kaggle imdb dataseg
wk3ex_bert_imdb_sentiment
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2804
Accuracy: 0.9201
Precision: 0.9201
Recall: 0.9201
F1: 0.9201
Model description
Exercise for University course. Finetuning for sentiment analysis with imdb Kaggle dataset
Intended uses & limitations
Sentiment analysis
Training and evaluation data
finetuning with imdb dataset
Training procedure
2 epochs
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.2405
1.0
2500
0.2392
0.9093
0.9107
0.9093
0.9092
0.1183
2.0
5000
0.2804
0.9201
0.9201
0.9201
0.9201
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
