twiiter_try15_fold2

yanezh/twiiter_try15_fold2

twiiter_try15_fold2 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: a485cba7

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Model card

From the Hugging Face model README

twiiter_try15_fold2

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

Loss: 0.1872
F1: 0.9801

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
0.2295	1.0	500	0.1052	0.9689
0.0621	2.0	1000	0.1340	0.9727
0.0317	3.0	1500	0.1108	0.9776
0.0148	4.0	2000	0.1810	0.9738
0.0066	5.0	2500	0.1783	0.9743
0.0028	6.0	3000	0.1780	0.9776
0.0012	7.0	3500	0.1487	0.9826
0.0059	8.0	4000	0.1443	0.9805
0.0024	9.0	4500	0.1709	0.9795
0.0049	10.0	5000	0.1743	0.9781
0.0003	11.0	5500	0.1898	0.9785
0.0028	12.0	6000	0.2119	0.9773
0.0013	13.0	6500	0.1929	0.9786
0.0	14.0	7000	0.1863	0.9801
0.0	15.0	7500	0.1872	0.9801

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