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lilzzz/
dbbuc_30p

Name: dbbuc_30p
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-uncased

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dbbuc_30p

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

Loss: 0.1597
Precision: 0.5256
Recall: 0.5222
F1: 0.5239
Accuracy: 0.9675

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	267	0.1502	0.3872	0.3270	0.3546	0.9595
0.1891	2.0	534	0.1349	0.4992	0.4825	0.4907	0.9650
0.1891	3.0	801	0.1412	0.4708	0.5254	0.4966	0.9642
0.056	4.0	1068	0.1539	0.5055	0.5143	0.5098	0.9667
0.056	5.0	1335	0.1597	0.5256	0.5222	0.5239	0.9675

Framework versions

Transformers 4.39.0
Pytorch 2.1.2
Datasets 2.19.0
Tokenizers 0.15.2

lilzzz/dbbuc_30p

dbbuc_30p

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

lilzzz/
dbbuc_30p