distilbert_twitterfin_padding80model – AI Model by Realgon | AlphaNeural AI

You can deploy this model and start earning money today!

Realgon/
distilbert_twitterfin_padding80model

like

0

text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

Views

No views yet

distilbert_twitterfin_padding80model

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.2464
Accuracy: 0.8643

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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6875	1.0	597	0.5594	0.7714
0.4358	2.0	1194	0.4065	0.8606
0.3212	3.0	1791	0.4008	0.8652
0.2291	4.0	2388	0.5113	0.8589
0.1828	5.0	2985	0.6224	0.8526
0.0895	6.0	3582	0.7556	0.8417
0.0787	7.0	4179	0.8308	0.8539
0.0562	8.0	4776	0.8072	0.8660
0.0622	9.0	5373	0.8961	0.8564
0.0319	10.0	5970	0.9517	0.8626
0.0301	11.0	6567	1.0274	0.8610
0.0196	12.0	7164	1.0598	0.8606
0.0224	13.0	7761	1.1347	0.8673
0.0164	14.0	8358	1.1203	0.8664
0.0113	15.0	8955	1.1585	0.8647
0.007	16.0	9552	1.2019	0.8589
0.0082	17.0	10149	1.2218	0.8656
0.0043	18.0	10746	1.2438	0.8635
0.0047	19.0	11343	1.2392	0.8656
0.0031	20.0	11940	1.2464	0.8643

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3