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cs224u-hw_sentiment – AI Model by jonathanalgar | AlphaNeural AI

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jonathanalgar/
cs224u-hw_sentiment

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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cs224u-hw_sentiment

This model is a fine-tuned version of distilbert-base-uncased.

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 128
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
mixed_precision_training: Native AMP

Framework versions

Transformers 4.37.1
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.15.2