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twitter-sentiment-extraction-distilbert – AI Model by suryaR-15 | AlphaNeural AI

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suryaR-15/
twitter-sentiment-extraction-distilbert

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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twitter-sentiment-extraction-distilbert

This model is a fine-tuned version of distilbert-base-uncased on the Tweet Sentiment Extraction dataset. It achieves the following results on the evaluation set:

Loss: 0.3328
Accuracy: 0.8903
F1: 0.8903

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2