distilbert-base-uncased-distilled-clinc – AI Model by 888Brogaard | AlphaNeural AI

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888Brogaard/
distilbert-base-uncased-distilled-clinc

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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distilbert-base-uncased-distilled-clinc

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: 0.2604
Accuracy: 0.9465

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: 48
eval_batch_size: 48
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 16

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	318	3.1771	0.7442
3.7072	2.0	636	1.5091	0.8697
3.7072	3.0	954	0.7019	0.9171
1.2636	4.0	1272	0.4092	0.9323
0.3515	5.0	1590	0.2959	0.9416
0.3515	6.0	1908	0.2698	0.9406
0.1159	7.0	2226	0.2441	0.9468
0.0487	8.0	2544	0.2484	0.9458
0.0487	9.0	2862	0.2467	0.9484
0.0266	10.0	3180	0.2466	0.9471
0.0266	11.0	3498	0.2517	0.9445
0.0178	12.0	3816	0.2498	0.9487
0.013	13.0	4134	0.2546	0.9471
0.013	14.0	4452	0.2617	0.9465
0.0105	15.0	4770	0.2609	0.9461
0.009	16.0	5088	0.2604	0.9465

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1