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sudo-s/
exper4_mesum5

Name: exper4_mesum5
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

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exper4_mesum5

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the sudo-s/herbier_mesuem5 dataset. It achieves the following results on the evaluation set:

Loss: 3.4389
Accuracy: 0.1331

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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.3793	0.23	100	3.4527	0.1308
3.2492	0.47	200	3.4501	0.1331
3.3847	0.7	300	3.4500	0.1272
3.3739	0.93	400	3.4504	0.1320
3.4181	1.16	500	3.4452	0.1320
3.214	1.4	600	3.4503	0.1320
3.282	1.63	700	3.4444	0.1325
3.5308	1.86	800	3.4473	0.1337
3.2251	2.09	900	3.4415	0.1361
3.4385	2.33	1000	3.4408	0.1343
3.3702	2.56	1100	3.4406	0.1325
3.366	2.79	1200	3.4411	0.1355
3.2022	3.02	1300	3.4403	0.1308
3.2768	3.26	1400	3.4394	0.1320
3.3444	3.49	1500	3.4394	0.1314
3.2981	3.72	1600	3.4391	0.1331
3.3349	3.95	1700	3.4389	0.1331

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1

sudo-s/exper4_mesum5

exper4_mesum5

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sudo-s/
exper4_mesum5