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agentmish/
dog-emotion-classifier

Name: dog-emotion-classifier
Availability: InStock

generated_from_trainer

google/vit-base-patch16-224-in21k

finetune

apache-2.0

endpoints_compatible

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dog-emotion-classifier

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

Loss: 0.7653
Accuracy: 0.8612

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: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.5	100	0.5477	0.795
No log	1.0	200	0.4834	0.83
No log	1.5	300	0.4944	0.8263
No log	2.0	400	0.5020	0.8187
0.4298	2.5	500	0.5745	0.83
0.4298	3.0	600	0.6207	0.8187
0.4298	3.5	700	0.5745	0.85
0.4298	4.0	800	0.7309	0.84
0.4298	4.5	900	0.7073	0.835
0.0585	5.0	1000	0.6339	0.8538
0.0585	5.5	1100	0.7294	0.8413
0.0585	6.0	1200	0.7083	0.8562
0.0585	6.5	1300	0.7272	0.8588
0.0585	7.0	1400	0.7358	0.8588
0.0042	7.5	1500	0.7447	0.86
0.0042	8.0	1600	0.7517	0.86
0.0042	8.5	1700	0.7581	0.8612
0.0042	9.0	1800	0.7620	0.8612
0.0042	9.5	1900	0.7645	0.8612
0.0012	10.0	2000	0.7653	0.8612

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1

agentmish/dog-emotion-classifier

dog-emotion-classifier

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

agentmish/
dog-emotion-classifier