distilbert_twitterfin_padding10model – AI Model by Realgon | AlphaNeural AI

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Realgon/
distilbert_twitterfin_padding10model

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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distilbert_twitterfin_padding10model

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: 1.0996
Accuracy: 0.8815

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
0.5889	1.0	597	0.3931	0.8513
0.3408	2.0	1194	0.3420	0.8819
0.2458	3.0	1791	0.3978	0.8807
0.1516	4.0	2388	0.5900	0.8819
0.1098	5.0	2985	0.6569	0.8781
0.0499	6.0	3582	0.7546	0.8756
0.042	7.0	4179	0.7920	0.8765
0.0348	8.0	4776	0.8574	0.8673
0.0341	9.0	5373	0.8166	0.8781
0.0235	10.0	5970	0.9018	0.8760
0.0154	11.0	6567	0.9876	0.8727
0.0115	12.0	7164	0.9529	0.8836
0.0104	13.0	7761	0.9724	0.8765
0.0076	14.0	8358	1.0292	0.8735
0.0089	15.0	8955	1.0013	0.8723
0.0033	16.0	9552	1.0696	0.8840
0.0076	17.0	10149	1.1262	0.8681
0.001	18.0	10746	1.1008	0.8773
0.0016	19.0	11343	1.0923	0.8811
0.0039	20.0	11940	1.0996	0.8815

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3