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finetuning-sentiment-model – AI Model by lourdesLB | AlphaNeural AI
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finetuning-sentiment-model
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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finetuning-sentiment-model-ie
This model is a fine-tuned version of
distilbert-base-uncased
on google_reviews dataset. It achieves the following results on the evaluation set:
Loss: 0.15
Accuracy: 0.96
F1: 0.96
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
weight_decay: 0.01
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
