distilbert-base-uncased-text-classification-v5 – AI Model by ranvir-inkle | AlphaNeural AI

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distilbert-base-uncased-text-classification-v5

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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distilbert-base-uncased-text-classification-v5

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: 0.2879
F1: 0.8471

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
1.3863	1.0	569	0.7220	0.4679
0.6212	2.0	1138	0.4596	0.6839
0.3746	3.0	1707	0.3441	0.7901
0.2685	4.0	2276	0.3036	0.8204
0.172	5.0	2845	0.2884	0.8289
0.1328	6.0	3414	0.2879	0.8471
0.1068	7.0	3983	0.2957	0.8400
0.0757	8.0	4552	0.2917	0.8464
0.0693	9.0	5121	0.2931	0.8404
0.0651	10.0	5690	0.2921	0.8428

Framework versions

Transformers 4.28.1
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.13.3