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bert-sentiment-analysis-nncf – AI Model by pravesh | AlphaNeural AI
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pravesh
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bert-sentiment-analysis-nncf
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transformers
pytorch
distilbert
generated_from_trainer
en
glue
apache-2.0
model-index
endpoints_compatible
us
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distilbert_sst2_int8_xml
This model is a fine-tuned version of
distilbert-base-uncased-finetuned-sst-2-english
on the GLUE SST2 dataset. It achieves the following results on the evaluation set:
Loss: 0.4463
Accuracy: 0.9037
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: 5e-05
train_batch_size: 16
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Framework versions
Transformers 4.23.1
Pytorch 1.9.1+cu111
Datasets 2.6.1
Tokenizers 0.13.2
