Instructions to use prithivMLmods/Fashion-Mnist-SigLIP2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Fashion-Mnist-SigLIP2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Fashion-Mnist-SigLIP2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Fashion-Mnist-SigLIP2") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Fashion-Mnist-SigLIP2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- checkpoint-1875/config.json +62 -0
- checkpoint-1875/model.safetensors +3 -0
- checkpoint-1875/optimizer.pt +3 -0
- checkpoint-1875/preprocessor_config.json +24 -0
- checkpoint-1875/rng_state.pth +3 -0
- checkpoint-1875/scheduler.pt +3 -0
- checkpoint-1875/trainer_state.json +65 -0
- checkpoint-1875/training_args.bin +3 -0
- checkpoint-3750/config.json +62 -0
- checkpoint-3750/model.safetensors +3 -0
- checkpoint-3750/optimizer.pt +3 -0
- checkpoint-3750/preprocessor_config.json +24 -0
- checkpoint-3750/rng_state.pth +3 -0
- checkpoint-3750/scheduler.pt +3 -0
- checkpoint-3750/trainer_state.json +103 -0
- checkpoint-3750/training_args.bin +3 -0
- checkpoint-5625/config.json +62 -0
- checkpoint-5625/model.safetensors +3 -0
- checkpoint-5625/optimizer.pt +3 -0
- checkpoint-5625/preprocessor_config.json +24 -0
- checkpoint-5625/rng_state.pth +3 -0
- checkpoint-5625/scheduler.pt +3 -0
- checkpoint-5625/trainer_state.json +141 -0
- checkpoint-5625/training_args.bin +3 -0
- config.json +62 -0
- model.safetensors +3 -0
- preprocessor_config.json +24 -0
- training_args.bin +3 -0
checkpoint-1875/config.json
ADDED
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{
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"architectures": [
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"SiglipForImageClassification"
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],
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"id2label": {
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"0": "T-shirt / top",
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"1": "Trouser",
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"2": "Pullover",
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"3": "Dress",
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"4": "Coat",
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"5": "Sandal",
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"6": "Shirt",
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"7": "Sneaker",
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"8": "Bag",
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"9": "Ankle boot"
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},
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"initializer_factor": 1.0,
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"label2id": {
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| 19 |
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"Ankle boot": 9,
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| 20 |
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"Bag": 8,
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| 21 |
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"Coat": 4,
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| 22 |
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"Dress": 3,
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| 23 |
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"Pullover": 2,
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| 24 |
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"Sandal": 5,
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"Shirt": 6,
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| 26 |
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"Sneaker": 7,
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| 27 |
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"T-shirt / top": 0,
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| 28 |
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"Trouser": 1
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},
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| 30 |
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"model_type": "siglip",
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| 31 |
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"problem_type": "single_label_classification",
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| 32 |
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"text_config": {
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| 33 |
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"attention_dropout": 0.0,
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| 34 |
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"hidden_act": "gelu_pytorch_tanh",
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| 35 |
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"hidden_size": 768,
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| 36 |
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"intermediate_size": 3072,
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| 37 |
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"layer_norm_eps": 1e-06,
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| 38 |
+
"max_position_embeddings": 64,
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| 39 |
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"model_type": "siglip_text_model",
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| 40 |
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"num_attention_heads": 12,
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| 41 |
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"num_hidden_layers": 12,
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| 42 |
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"projection_size": 768,
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| 43 |
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"torch_dtype": "float32",
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| 44 |
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"vocab_size": 256000
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| 45 |
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},
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| 46 |
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"torch_dtype": "float32",
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| 47 |
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"transformers_version": "4.50.0.dev0",
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| 48 |
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"vision_config": {
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| 49 |
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"attention_dropout": 0.0,
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| 50 |
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"hidden_act": "gelu_pytorch_tanh",
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| 51 |
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"hidden_size": 768,
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| 52 |
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"image_size": 224,
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| 53 |
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"intermediate_size": 3072,
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| 54 |
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"layer_norm_eps": 1e-06,
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| 55 |
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"model_type": "siglip_vision_model",
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| 56 |
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"num_attention_heads": 12,
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| 57 |
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"num_channels": 3,
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| 58 |
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"num_hidden_layers": 12,
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| 59 |
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"patch_size": 16,
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| 60 |
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"torch_dtype": "float32"
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| 61 |
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}
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| 62 |
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}
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checkpoint-1875/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:de996bc92de10f2d1ef53b6678ea57f3c3ebcd31fb3d485729c6bb067e1af6bb
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size 371592608
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checkpoint-1875/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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checkpoint-1875/preprocessor_config.json
ADDED
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{
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"do_convert_rgb": null,
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"do_normalize": true,
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"do_rescale": true,
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| 5 |
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"do_resize": true,
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| 6 |
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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| 11 |
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"image_processor_type": "SiglipImageProcessor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"processor_class": "SiglipProcessor",
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| 18 |
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"resample": 2,
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| 19 |
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"rescale_factor": 0.00392156862745098,
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| 20 |
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"size": {
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| 21 |
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"height": 224,
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"width": 224
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}
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}
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checkpoint-1875/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size 14244
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checkpoint-1875/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 1064
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checkpoint-1875/trainer_state.json
ADDED
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{
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| 2 |
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"best_global_step": 1875,
|
| 3 |
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"best_metric": 0.46604594588279724,
|
| 4 |
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"best_model_checkpoint": "Fashion-Mnist-SigLIP2/checkpoint-1875",
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| 5 |
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"epoch": 1.0,
|
| 6 |
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"eval_steps": 500,
|
| 7 |
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"global_step": 1875,
|
| 8 |
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"is_hyper_param_search": false,
|
| 9 |
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"is_local_process_zero": true,
|
| 10 |
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"is_world_process_zero": true,
|
| 11 |
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"log_history": [
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| 12 |
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{
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"epoch": 0.26666666666666666,
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"grad_norm": 9.494325637817383,
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"learning_rate": 0.00018385650224215247,
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"loss": 0.9674,
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"step": 500
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| 18 |
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},
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| 19 |
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{
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"epoch": 0.5333333333333333,
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"grad_norm": 6.167793273925781,
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"learning_rate": 0.00016591928251121076,
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"loss": 0.6265,
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| 24 |
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"step": 1000
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| 25 |
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},
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| 26 |
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{
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| 27 |
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"epoch": 0.8,
|
| 28 |
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"grad_norm": 5.353821754455566,
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| 29 |
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"learning_rate": 0.00014798206278026908,
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| 30 |
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"loss": 0.5464,
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| 31 |
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"step": 1500
|
| 32 |
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},
|
| 33 |
+
{
|
| 34 |
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"epoch": 1.0,
|
| 35 |
+
"eval_accuracy": 0.8283,
|
| 36 |
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"eval_loss": 0.46604594588279724,
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| 37 |
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"eval_model_preparation_time": 0.003,
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| 38 |
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"eval_runtime": 687.6086,
|
| 39 |
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"eval_samples_per_second": 87.259,
|
| 40 |
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"eval_steps_per_second": 10.907,
|
| 41 |
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"step": 1875
|
| 42 |
+
}
|
| 43 |
+
],
|
| 44 |
+
"logging_steps": 500,
|
| 45 |
+
"max_steps": 5625,
|
| 46 |
+
"num_input_tokens_seen": 0,
|
| 47 |
+
"num_train_epochs": 3,
|
| 48 |
+
"save_steps": 500,
|
| 49 |
+
"stateful_callbacks": {
|
| 50 |
+
"TrainerControl": {
|
| 51 |
+
"args": {
|
| 52 |
+
"should_epoch_stop": false,
|
| 53 |
+
"should_evaluate": false,
|
| 54 |
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"should_log": false,
|
| 55 |
+
"should_save": true,
|
| 56 |
+
"should_training_stop": false
|
| 57 |
+
},
|
| 58 |
+
"attributes": {}
|
| 59 |
+
}
|
| 60 |
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},
|
| 61 |
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"total_flos": 5.02566312665088e+18,
|
| 62 |
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"train_batch_size": 32,
|
| 63 |
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"trial_name": null,
|
| 64 |
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"trial_params": null
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| 65 |
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}
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checkpoint-1875/training_args.bin
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:e2634502d14d50ae6e309c6720abc81b68a2cb5d4fd494874448126eedae2d19
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| 3 |
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size 5304
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checkpoint-3750/config.json
ADDED
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{
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| 2 |
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"architectures": [
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| 3 |
+
"SiglipForImageClassification"
|
| 4 |
+
],
|
| 5 |
+
"id2label": {
|
| 6 |
+
"0": "T-shirt / top",
|
| 7 |
+
"1": "Trouser",
|
| 8 |
+
"2": "Pullover",
|
| 9 |
+
"3": "Dress",
|
| 10 |
+
"4": "Coat",
|
| 11 |
+
"5": "Sandal",
|
| 12 |
+
"6": "Shirt",
|
| 13 |
+
"7": "Sneaker",
|
| 14 |
+
"8": "Bag",
|
| 15 |
+
"9": "Ankle boot"
|
| 16 |
+
},
|
| 17 |
+
"initializer_factor": 1.0,
|
| 18 |
+
"label2id": {
|
| 19 |
+
"Ankle boot": 9,
|
| 20 |
+
"Bag": 8,
|
| 21 |
+
"Coat": 4,
|
| 22 |
+
"Dress": 3,
|
| 23 |
+
"Pullover": 2,
|
| 24 |
+
"Sandal": 5,
|
| 25 |
+
"Shirt": 6,
|
| 26 |
+
"Sneaker": 7,
|
| 27 |
+
"T-shirt / top": 0,
|
| 28 |
+
"Trouser": 1
|
| 29 |
+
},
|
| 30 |
+
"model_type": "siglip",
|
| 31 |
+
"problem_type": "single_label_classification",
|
| 32 |
+
"text_config": {
|
| 33 |
+
"attention_dropout": 0.0,
|
| 34 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 35 |
+
"hidden_size": 768,
|
| 36 |
+
"intermediate_size": 3072,
|
| 37 |
+
"layer_norm_eps": 1e-06,
|
| 38 |
+
"max_position_embeddings": 64,
|
| 39 |
+
"model_type": "siglip_text_model",
|
| 40 |
+
"num_attention_heads": 12,
|
| 41 |
+
"num_hidden_layers": 12,
|
| 42 |
+
"projection_size": 768,
|
| 43 |
+
"torch_dtype": "float32",
|
| 44 |
+
"vocab_size": 256000
|
| 45 |
+
},
|
| 46 |
+
"torch_dtype": "float32",
|
| 47 |
+
"transformers_version": "4.50.0.dev0",
|
| 48 |
+
"vision_config": {
|
| 49 |
+
"attention_dropout": 0.0,
|
| 50 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 51 |
+
"hidden_size": 768,
|
| 52 |
+
"image_size": 224,
|
| 53 |
+
"intermediate_size": 3072,
|
| 54 |
+
"layer_norm_eps": 1e-06,
|
| 55 |
+
"model_type": "siglip_vision_model",
|
| 56 |
+
"num_attention_heads": 12,
|
| 57 |
+
"num_channels": 3,
|
| 58 |
+
"num_hidden_layers": 12,
|
| 59 |
+
"patch_size": 16,
|
| 60 |
+
"torch_dtype": "float32"
|
| 61 |
+
}
|
| 62 |
+
}
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checkpoint-3750/model.safetensors
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version https://git-lfs.github.com/spec/v1
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