amazon-reviews-sentiment-bert-base-uncased-6000-samples – AI Model by NannyML | AlphaNeural AI

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NannyML/
amazon-reviews-sentiment-bert-base-uncased-6000-samples

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text-classification

generated_from_trainer

amazon_reviews_multi

nlptown/bert-base-multilingual-uncased-sentiment

autotrain_compatible

endpoints_compatible

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amazon-reviews-sentiment-bert-base-uncased-6000-samples

This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:

Loss: 0.5890
Accuracy: 0.7679
F1: 0.7168

Predicted labels

LABEL_0: Negative review
LABEL_1: Neutral review
LABEL_2: Positive review

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: 32
eval_batch_size: 32
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
No log	1.0	188	0.5745	0.7586	0.7149
No log	2.0	376	0.5890	0.7679	0.7168

Framework versions

Transformers 4.33.2
Pytorch 2.0.0
Datasets 2.14.6.dev0
Tokenizers 0.13.3