amazon_helpfulness_classification_dapt_tap – AI Model by ltuzova | AlphaNeural AI

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ltuzova/
amazon_helpfulness_classification_dapt_tap

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text-classification

generated_from_trainer

BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model

autotrain_compatible

endpoints_compatible

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amazon_helpfulness_classification_dapt_tap

This model is a fine-tuned version of BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3428
Accuracy: 0.8785
F1 Macro: 0.6863

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro
0.315	1.0	7204	0.3045	0.874	0.6410
0.3083	2.0	14408	0.3373	0.8722	0.6349
0.2639	3.0	21612	0.3507	0.8768	0.6922
0.2388	4.0	28816	0.4179	0.87	0.6659
0.1534	5.0	36020	0.5956	0.8738	0.6830
0.1524	6.0	43224	0.6679	0.8684	0.6796

Framework versions

Transformers 4.36.2
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.15.2