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contactravi676/next_gen_neuron_bert_sentimentanalysis
next_gen_neuron_bert_sentimentanalysis is a text classification model from contactravi676. Use it when you need a label for a piece of text. It is set up for transformers.
This is the model card of a ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generated.
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From the Hugging Face model README
This is the model card of a ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generated.
The model can be used for knowledge and expertiment purposes. I have finetuned it to demostrate in my channel videos and blogs.
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
Use the code below to get started with the model.
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IMDB dataset
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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.
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| Hyperparameter | Value |
|---|---|
| Model | BERT (bert-base-uncased) |
| Dataset | IMDB |
| Number of Training Epochs | 1 |
| Training Batch Size | 16 |
| Evaluation Batch Size | 16 |
| Learning Rate | 2e-5 |
| Evaluation Strategy | Per Epoch |
| Random Seed | 42 |
| Output Directory | next_gen_neuron/finetuned/next_gen_neuron_bert_sentimentanalysis |
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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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BibTeX:
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APA:
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