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contactravi676/next_gen_neuron_bert_sentimentanalysis

sourceHugging Faceupdated 1y agoView on Hugging Face
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Model Description

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

  • —Developed by: Ravi Rajput @Next Gen Neuron
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  • —Model type: Sentiment Analysis
  • —Language(s) (NLP): [More Information Needed]
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  • —Finetuned from model [optional]: bert-base-uncased

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Uses

The model can be used for knowledge and expertiment purposes. I have finetuned it to demostrate in my channel videos and blogs.

Direct Use

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Recommendations

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How to Get Started with the Model

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Training Details

Training Data

IMDB dataset

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Training Procedure

Specifically, it was trained for 1 epoch with a batch size of 16 for both training and evaluation, a learning rate of 2e-5, and a fixed random seed (42) for reproducibility, with evaluation conducted at the end of each epoch.

Preprocessing [optional]

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Training Hyperparameters
**Hyperparameter****Value**
ModelBERT (bert-base-uncased)
DatasetIMDB
Number of Training Epochs1
Training Batch Size16
Evaluation Batch Size16
Learning Rate2e-5
Evaluation StrategyPer Epoch
Random Seed42
Output Directorynext_gen_neuron/finetuned/next_gen_neuron_bert_sentimentanalysis
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Evaluation

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Testing Data, Factors & Metrics

Testing Data

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Factors

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Results

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Summary

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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