amazon_helpfulness_classification_seqbn_tapt_full_train

ltuzova/amazon_helpfulness_classification_seqbn_tapt_full_train

amazon_helpfulness_classification_seqbn_tapt_full_train is a machine learning model from ltuzova. 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 21, 2024

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163 MB

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Hugging Face

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At a glance

License: mit
Access: Public
Created: Apr 21, 2024
Updated: Apr 21, 2024
SHA: d3cfc4a6

Base models

Model card

From the Hugging Face model README

amazon_helpfulness_classification_seqbn_tapt_full_train

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

Loss: 0.3077
Accuracy: 0.8776
F1 Macro: 0.7027

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: 0.0001
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
0.3264	1.0	7204	0.3133	0.8658	0.5988
0.3255	2.0	14408	0.3263	0.8668	0.5816
0.3123	3.0	21612	0.3075	0.873	0.6920
0.3098	4.0	28816	0.3100	0.8728	0.6726
0.2613	5.0	36020	0.3124	0.8734	0.6992
0.2496	6.0	43224	0.3123	0.8758	0.7014
0.2484	7.0	50428	0.3164	0.8728	0.6936
0.2296	8.0	57632	0.3310	0.8722	0.6849
0.2885	9.0	64836	0.3307	0.873	0.6911

Framework versions

Transformers 4.36.2
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.15.2

License: mit
Created: Apr 21, 2024
Updated: Apr 21, 2024