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Sentiment_Analysis_12000sample – AI Model by Carmesix | AlphaNeural AI
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Sentiment_Analysis_12000sample
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
imdb
distilbert/distilbert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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Sentiment_Analysis_12000sample
This model is a fine-tuned version of
distilbert-base-uncased
on the imdb dataset. It achieves the following results on the evaluation set:
Loss: 0.2455
Accuracy: 0.917
F1: 0.9187
Model description
Model Intended to validate Sentiment Analysis on comments. Made by Alan Perez.
Intended uses & limitations
Limited testing and is for showcase
Training and evaluation data
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 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
