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NLP_sentiment – AI Model by amosc00 | AlphaNeural AI

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amosc00/
NLP_sentiment

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text-classification

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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NLP_sentiment

This model is a fine-tuned version of Tianyi98/opt-350m-finetuned-cola on the imdb dataset. It achieves the following results on the evaluation set:

Loss: 0.5679
Accuracy: 0.91
F1: 0.9097

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
train_batch_size: 2
eval_batch_size: 2
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 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.8.0
Tokenizers 0.13.2