distilbert-base-uncased-finetuned-pad-clf – AI Model by netoferraz | AlphaNeural AI

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netoferraz/
distilbert-base-uncased-finetuned-pad-clf

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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distilbert-base-uncased-finetuned-pad-clf

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1289
Accuracy: 0.975
F1: 0.9749

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: 256
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	4	0.6435	0.6083	0.5142
No log	2.0	8	0.5480	0.9083	0.9081
No log	3.0	12	0.4297	0.9417	0.9417
0.5756	4.0	16	0.3197	0.9667	0.9666
0.5756	5.0	20	0.2381	0.9667	0.9665
0.5756	6.0	24	0.1897	0.975	0.9749
0.5756	7.0	28	0.1611	0.975	0.9749
0.2307	8.0	32	0.1431	0.975	0.9749
0.2307	9.0	36	0.1328	0.975	0.9749
0.2307	10.0	40	0.1289	0.975	0.9749

Framework versions

Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0