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cyrp/
distilbert-base-uncased-gnad10

Name: distilbert-base-uncased-gnad10
Availability: InStock

peft

safetensors

generated_from_trainer

distilbert/distilbert-base-uncased

adapter

apache-2.0

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distilbert-base-uncased-gnad10

This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7690
F1: 0.8361
Accuracy: 0.8366

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: 0.001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy
0.9207	1.0	1156	0.8170	0.7276	0.7267
0.7585	2.0	2312	0.7201	0.7647	0.7636
0.6734	3.0	3468	0.7268	0.7761	0.7743
0.6406	4.0	4624	0.7344	0.7920	0.7918
0.5782	5.0	5780	0.6773	0.8030	0.8035
0.5229	6.0	6936	0.6293	0.8165	0.8152
0.4514	7.0	8092	0.6392	0.8248	0.8259
0.3757	8.0	9248	0.6606	0.8204	0.8210
0.298	9.0	10404	0.7235	0.8308	0.8317
0.2449	10.0	11560	0.7690	0.8361	0.8366

Framework versions

PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.6.0+cu118
Datasets 3.2.0
Tokenizers 0.21.0

cyrp/distilbert-base-uncased-gnad10

distilbert-base-uncased-gnad10

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cyrp/
distilbert-base-uncased-gnad10