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amazon_helpfulness_classification_on_amazon_5M_model_corrected – AI Model by BigTMiami | AlphaNeural AI
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BigTMiami
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amazon_helpfulness_classification_on_amazon_5M_model_corrected
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
BigTMiami/amazon_pretraining_5M_model_corrected
finetune
mit
autotrain_compatible
endpoints_compatible
us
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amazon_helpfulness_classification_on_amazon_5M_model_corrected
This model is a fine-tuned version of
BigTMiami/amazon_pretraining_5M_model_corrected
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3658
Accuracy: 0.8755
F1 Macro: 0.6704
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1 Macro
0.301
1.0
7204
0.3385
0.8715
0.6366
0.2772
2.0
14408
0.3314
0.8772
0.6580
0.228
3.0
21612
0.3658
0.8755
0.6704
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
