bert_Pfinal_2e-5_16_10

fredymad/bert_Pfinal_2e-5_16_10

bert_Pfinal_2e-5_16_10 is a text classification model from fredymad. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: May 30, 2023
Updated: Jun 2, 2023
SHA: 2fa648e0

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Model card

From the Hugging Face model README

bert_Pfinal_2e-5_16_10

This model is a fine-tuned version of fredymad/bert_Pfinal_2e-5_16_2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6295
F1: 0.7355

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=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.101	1.0	669	0.3000	0.7169
0.1282	2.0	1338	0.2993	0.7361
0.0548	3.0	2007	0.3924	0.7308
0.0278	4.0	2676	0.4989	0.7221
0.0229	5.0	3345	0.6089	0.6940
0.0168	6.0	4014	0.5561	0.7361
0.0082	7.0	4683	0.6112	0.7297
0.008	8.0	5352	0.6101	0.7343
0.0052	9.0	6021	0.6253	0.7400
0.003	10.0	6690	0.6295	0.7355

Framework versions

Transformers 4.28.0
Pytorch 1.13.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
Created: May 30, 2023
Updated: Jun 2, 2023