twiiter_try15_fold4

yanezh/twiiter_try15_fold4

twiiter_try15_fold4 is a text classification model from yanezh. 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 26, 2023
Updated: May 26, 2023
SHA: f67a4724

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Model card

From the Hugging Face model README

twiiter_try15_fold4

This model is a fine-tuned version of ProsusAI/finbert on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1791
F1: 0.9805

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: 3e-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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.2113	1.0	500	0.1149	0.9642
0.0638	2.0	1000	0.1456	0.9646
0.0179	3.0	1500	0.1507	0.9737
0.0171	4.0	2000	0.1835	0.9737
0.0096	5.0	2500	0.2713	0.9613
0.0072	6.0	3000	0.2221	0.9695
0.0073	7.0	3500	0.1639	0.9775
0.0049	8.0	4000	0.2184	0.9737
0.0018	9.0	4500	0.2568	0.9723
0.0062	10.0	5000	0.2106	0.9753
0.0001	11.0	5500	0.2204	0.9763
0.0	12.0	6000	0.2195	0.9761
0.0015	13.0	6500	0.1732	0.9795
0.0	14.0	7000	0.1739	0.9810
0.0011	15.0	7500	0.1791	0.9805

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
Created: May 26, 2023
Updated: May 26, 2023