recipe-distilbert-upper-Is – AI Model by paola-md | AlphaNeural AI

You can deploy this model and start earning money today!

paola-md/
recipe-distilbert-upper-Is

like

0

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

recipe-distilbert-upper-Is

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: 0.8565

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: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.6309	1.0	1305	1.2607
1.2639	2.0	2610	1.1291
1.1592	3.0	3915	1.0605
1.0987	4.0	5220	1.0128
1.0569	5.0	6525	0.9796
1.0262	6.0	7830	0.9592
1.0032	7.0	9135	0.9352
0.9815	8.0	10440	0.9186
0.967	9.0	11745	0.9086
0.9532	10.0	13050	0.8973
0.9436	11.0	14355	0.8888
0.9318	12.0	15660	0.8835
0.9243	13.0	16965	0.8748
0.9169	14.0	18270	0.8673
0.9117	15.0	19575	0.8610
0.9066	16.0	20880	0.8562
0.9028	17.0	22185	0.8566
0.901	18.0	23490	0.8583
0.8988	19.0	24795	0.8557
0.8958	20.0	26100	0.8565

Framework versions

Transformers 4.19.0.dev0
Pytorch 1.11.0+cu102
Datasets 2.3.2
Tokenizers 0.12.1