N_distilbert_twitterfin_padding90model – AI Model by Realgon | AlphaNeural AI

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Realgon/
N_distilbert_twitterfin_padding90model

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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N_distilbert_twitterfin_padding90model

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: 1.0352
Accuracy: 0.8802

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
0.7089	1.0	597	0.4277	0.8379
0.3993	2.0	1194	0.3756	0.8643
0.2955	3.0	1791	0.3909	0.8585
0.2016	4.0	2388	0.5133	0.8668
0.1525	5.0	2985	0.7202	0.8451
0.0696	6.0	3582	0.6654	0.8719
0.0504	7.0	4179	0.7742	0.8652
0.0492	8.0	4776	0.8506	0.8564
0.0426	9.0	5373	0.8020	0.8706
0.0276	10.0	5970	0.9050	0.8756
0.0178	11.0	6567	0.9131	0.8781
0.0106	12.0	7164	0.9870	0.8760
0.0157	13.0	7761	1.0677	0.8610
0.0079	14.0	8358	1.0418	0.8677
0.0127	15.0	8955	0.9829	0.8744
0.0081	16.0	9552	0.9926	0.8735
0.0058	17.0	10149	1.0847	0.8702
0.0031	18.0	10746	1.0440	0.8794
0.0043	19.0	11343	1.0431	0.8748
0.004	20.0	11940	1.0352	0.8802

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3