G5_HW4_sentiment_part1 – AI Model by parsi-ai-nlpclass | AlphaNeural AI

You can deploy this model and start earning money today!

parsi-ai-nlpclass/
G5_HW4_sentiment_part1

like

0

text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

output

This model is a fine-tuned version of HooshvareLab/bert-fa-zwnj-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.9434
Accuracy: 0.6684
F1: 0.6608
F1 Micro: 0.6684
F1 Macro: 0.5384
Precision: 0.6585
Recall: 0.6684

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: 0.0001
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
lr_scheduler_warmup_steps: 50
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	F1 Micro	F1 Macro	Precision	Recall
No log	1.0	96	1.1053	0.5789	0.5598	0.5789	0.4428	0.5993	0.5789
No log	2.0	192	1.1474	0.5737	0.5831	0.5737	0.4693	0.6383	0.5737
No log	3.0	288	1.0758	0.6316	0.6016	0.6316	0.4850	0.6356	0.6316
No log	4.0	384	1.2156	0.6474	0.6454	0.6474	0.5224	0.6489	0.6474
No log	5.0	480	1.5757	0.6316	0.6276	0.6316	0.5099	0.6293	0.6316
0.5922	6.0	576	1.7277	0.6579	0.6542	0.6579	0.5338	0.6520	0.6579
0.5922	7.0	672	1.9130	0.6789	0.6736	0.6789	0.5482	0.6749	0.6789
0.5922	8.0	768	1.9434	0.6684	0.6608	0.6684	0.5384	0.6585	0.6684

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Tokenizers 0.13.3