Psoriasis-Project-M-clip-vit-large-patch14 – AI Model by ahmedesmail16 | AlphaNeural AI

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Psoriasis-Project-M-clip-vit-large-patch14

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image-classification

generated_from_trainer

openai/clip-vit-large-patch14

autotrain_compatible

endpoints_compatible

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Psoriasis-Project-M-clip-vit-large-patch14

This model is a fine-tuned version of openai/clip-vit-large-patch14 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.4710
Accuracy: 0.8958

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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.92	6	1.8042	0.7917
0.1258	2.0	13	1.4387	0.8333
0.1258	2.92	19	2.5280	0.7292
0.0815	4.0	26	0.9424	0.8542
0.0493	4.62	30	0.8434	0.8542
No log	0.92	6	8.7831	0.2917
6.4844	2.0	13	3.2443	0.5417
6.4844	2.92	19	1.4924	0.7708
1.5554	4.0	26	0.6663	0.875
0.2061	4.62	30	0.7655	0.8125
No log	0.92	6	1.1418	0.8333
0.0506	2.0	13	2.5893	0.7292
0.0506	2.92	19	1.5925	0.7917
0.1137	4.0	26	1.3275	0.8958
0.0132	4.62	30	1.4710	0.8958

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2