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tapt_seq_bn_amazon_helpfulness_classification_model – AI Model by BigTMiami | AlphaNeural AI
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BigTMiami
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tapt_seq_bn_amazon_helpfulness_classification_model
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tensorboard
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
us
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tapt_seq_bn_amazon_helpfulness_classification_model
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3322
Accuracy: 0.866
F1 Macro: 0.5934
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
0.3392
1.0
1563
0.3329
0.859
0.5394
0.3347
2.0
3126
0.3382
0.863
0.5814
0.3305
3.0
4689
0.3322
0.866
0.5934
Framework versions
Transformers 4.36.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
