twitter-data-prosusai-finbert-sentiment-finetuned-memes

jayantapaul888/twitter-data-prosusai-finbert-sentiment-finetuned-memes

twitter-data-prosusai-finbert-sentiment-finetuned-memes is a text classification model from jayantapaul888. 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: Nov 1, 2022
Updated: Nov 1, 2022
SHA: d80850fb

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Model card

From the Hugging Face model README

twitter-data-prosusai-finbert-sentiment-finetuned-memes

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

Loss: 0.5328
Accuracy: 0.9274
Precision: 0.9277
Recall: 0.9274
F1: 0.9275

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: 1e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.3284	1.0	1783	0.2770	0.9140	0.9152	0.9140	0.9140
0.2422	2.0	3566	0.2388	0.9282	0.9297	0.9282	0.9283
0.207	3.0	5349	0.2291	0.9325	0.9337	0.9325	0.9326
0.1829	4.0	7132	0.2298	0.9341	0.9347	0.9341	0.9340
0.1665	5.0	8915	0.2493	0.9303	0.9309	0.9303	0.9304
0.142	6.0	10698	0.2749	0.9306	0.9309	0.9306	0.9305
0.1188	7.0	12481	0.2687	0.9279	0.9286	0.9279	0.9280
0.1013	8.0	14264	0.2900	0.9270	0.9273	0.9270	0.9271
0.0849	9.0	16047	0.3247	0.9261	0.9261	0.9261	0.9261
0.0723	10.0	17830	0.3549	0.9259	0.9266	0.9259	0.9261
0.057	11.0	19613	0.3706	0.9283	0.9288	0.9283	0.9284
0.0496	12.0	21396	0.4070	0.9258	0.9266	0.9258	0.9260
0.0423	13.0	23179	0.4361	0.9254	0.9262	0.9254	0.9256
0.0355	14.0	24962	0.4602	0.9297	0.9305	0.9297	0.9298
0.0291	15.0	26745	0.4859	0.9258	0.9259	0.9258	0.9258
0.0248	16.0	28528	0.5024	0.9273	0.9274	0.9273	0.9273
0.0219	17.0	30311	0.5093	0.9263	0.9264	0.9263	0.9263
0.0191	18.0	32094	0.5244	0.9280	0.9288	0.9280	0.9282
0.0171	19.0	33877	0.5290	0.9273	0.9276	0.9273	0.9274
0.0172	20.0	35660	0.5328	0.9274	0.9277	0.9274	0.9275

Framework versions

Transformers 4.24.0.dev0
Pytorch 1.11.0+cu102
Datasets 2.6.1
Tokenizers 0.13.1

Task: Text Classification
Library: transformers
Type: bert
Created: Nov 1, 2022
Updated: Nov 1, 2022