tapt_seq_bn_amazon_helpfulness_classification_model

BigTMiami/tapt_seq_bn_amazon_helpfulness_classification_model

tapt_seq_bn_amazon_helpfulness_classification_model is a machine learning model from BigTMiami. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

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Public

Updated Apr 16, 2024

Repo size

163 MB

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Hugging Face

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At a glance

License: mit
Access: Public
Created: Apr 16, 2024
Updated: Apr 16, 2024
SHA: 247b4dd9

Base models

Model card

From the Hugging Face model README

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

License: mit
Created: Apr 16, 2024
Updated: Apr 16, 2024