finetuning-SentimentAnalysis-model – AI Model by MahmoudMohsen | AlphaNeural AI

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MahmoudMohsen/
finetuning-SentimentAnalysis-model

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased-finetuned-sst-2-english

autotrain_compatible

endpoints_compatible

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finetuning-SentimentAnalysis-model

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the glue dataset. It achieves the following results on the evaluation set:

Loss: 0.3755
Accuracy: 0.9025
F1: 0.9024

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.0575	1.0	1053	0.2953	0.9071	0.9070
0.0328	2.0	2106	0.3755	0.9025	0.9024

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3