micro_base_help_class_tapt_seed_3

BigTMiami/micro_base_help_class_tapt_seed_3

micro_base_help_class_tapt_seed_3 is a text classification model from BigTMiami. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Apr 20, 2024
Updated: Apr 20, 2024
SHA: 7f315283

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Base models

BigTMiami/micro_base_help_tapt_pretrain_model

Model card

From the Hugging Face model README

micro_base_help_class_tapt_seed_3

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

Loss: 0.3588
Accuracy: 0.8398
F1 Macro: 0.6881

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: 3
optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro
0.3463	1.0	313	0.3531	0.8586	0.6005
0.303	2.0	626	0.3318	0.8616	0.5976
0.2288	3.0	939	0.3732	0.8288	0.6841
0.1718	4.0	1252	0.6695	0.8586	0.5697
0.1466	5.0	1565	0.7902	0.855	0.6347
0.0853	6.0	1878	0.9930	0.847	0.6702

Framework versions

Transformers 4.36.2
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Apr 20, 2024
Updated: Apr 20, 2024