Instructions to use dima806/vegetable_15_types_image_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dima806/vegetable_15_types_image_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dima806/vegetable_15_types_image_detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("dima806/vegetable_15_types_image_detection") model = AutoModelForImageClassification.from_pretrained("dima806/vegetable_15_types_image_detection") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- checkpoint-7890/config.json +58 -0
- checkpoint-7890/model.safetensors +3 -0
- checkpoint-7890/optimizer.pt +3 -0
- checkpoint-7890/preprocessor_config.json +22 -0
- checkpoint-7890/rng_state.pth +3 -0
- checkpoint-7890/scheduler.pt +3 -0
- checkpoint-7890/trainer_state.json +379 -0
- checkpoint-7890/training_args.bin +3 -0
- config.json +58 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- training_args.bin +3 -0
checkpoint-7890/config.json
ADDED
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{
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"_name_or_path": "google/vit-base-patch16-224-in21k",
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"architectures": [
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"ViTForImageClassification"
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],
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| 6 |
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"attention_probs_dropout_prob": 0.0,
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| 7 |
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"encoder_stride": 16,
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| 8 |
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"hidden_act": "gelu",
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| 9 |
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"hidden_dropout_prob": 0.0,
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| 10 |
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"hidden_size": 768,
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| 11 |
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"id2label": {
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| 12 |
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"0": "Bean",
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"1": "Bitter_Gourd",
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"2": "Bottle_Gourd",
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"3": "Brinjal",
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"4": "Broccoli",
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"5": "Cabbage",
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"6": "Capsicum",
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"7": "Carrot",
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"8": "Cauliflower",
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"9": "Cucumber",
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"10": "Papaya",
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"11": "Potato",
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"12": "Pumpkin",
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"13": "Radish",
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"14": "Tomato"
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},
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| 28 |
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"image_size": 224,
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| 29 |
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"initializer_range": 0.02,
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| 30 |
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"intermediate_size": 3072,
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"label2id": {
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| 32 |
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"Bean": 0,
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| 33 |
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"Bitter_Gourd": 1,
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| 34 |
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"Bottle_Gourd": 2,
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| 35 |
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"Brinjal": 3,
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| 36 |
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"Broccoli": 4,
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| 37 |
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"Cabbage": 5,
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| 38 |
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"Capsicum": 6,
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| 39 |
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"Carrot": 7,
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| 40 |
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"Cauliflower": 8,
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| 41 |
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"Cucumber": 9,
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| 42 |
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"Papaya": 10,
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| 43 |
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"Potato": 11,
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| 44 |
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"Pumpkin": 12,
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| 45 |
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"Radish": 13,
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| 46 |
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"Tomato": 14
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},
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| 48 |
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"layer_norm_eps": 1e-12,
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| 49 |
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"model_type": "vit",
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| 50 |
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"num_attention_heads": 12,
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| 51 |
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"num_channels": 3,
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| 52 |
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"num_hidden_layers": 12,
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| 53 |
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"patch_size": 16,
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| 54 |
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"problem_type": "single_label_classification",
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| 55 |
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"qkv_bias": true,
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| 56 |
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"torch_dtype": "float32",
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"transformers_version": "4.35.2"
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}
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checkpoint-7890/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3fa9ddeb6b79169fd534e4d479b9a7ab85477f71e0f1f75cc3d015c809ffd657
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size 343263964
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checkpoint-7890/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:833b932e11a478ee0292947858efc18c383d3c89c456d0dfd49c27752b472378
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size 686648325
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checkpoint-7890/preprocessor_config.json
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{
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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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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"image_processor_type": "ViTImageProcessor",
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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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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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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-7890/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:e2da46a4971772474859f140e0ff51ca3a2c3bc678d5b1365504c6fb35f9ba31
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size 14575
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checkpoint-7890/scheduler.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd1f175e3c0007ed5c52029063ee75f244af0d95b48d6ca61f0576be5327712c
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size 627
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checkpoint-7890/trainer_state.json
ADDED
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.2385573387145996,
|
| 3 |
+
"best_model_checkpoint": "vegetable_15_types_image_detection/checkpoint-7890",
|
| 4 |
+
"epoch": 30.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 7890,
|
| 7 |
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"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
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{
|
| 12 |
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"epoch": 1.0,
|
| 13 |
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"eval_accuracy": 0.8469047619047619,
|
| 14 |
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"eval_loss": 2.3187735080718994,
|
| 15 |
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"eval_runtime": 34.9556,
|
| 16 |
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"eval_samples_per_second": 120.153,
|
| 17 |
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"eval_steps_per_second": 3.776,
|
| 18 |
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"step": 263
|
| 19 |
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},
|
| 20 |
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{
|
| 21 |
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"epoch": 1.9,
|
| 22 |
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"learning_rate": 1.8852040816326528e-06,
|
| 23 |
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"loss": 2.294,
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| 24 |
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"step": 500
|
| 25 |
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},
|
| 26 |
+
{
|
| 27 |
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"epoch": 2.0,
|
| 28 |
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"eval_accuracy": 0.9859523809523809,
|
| 29 |
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"eval_loss": 1.790360927581787,
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| 30 |
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"eval_runtime": 34.742,
|
| 31 |
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"eval_samples_per_second": 120.891,
|
| 32 |
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"eval_steps_per_second": 3.799,
|
| 33 |
+
"step": 526
|
| 34 |
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},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 3.0,
|
| 37 |
+
"eval_accuracy": 0.9942857142857143,
|
| 38 |
+
"eval_loss": 1.3779549598693848,
|
| 39 |
+
"eval_runtime": 34.582,
|
| 40 |
+
"eval_samples_per_second": 121.45,
|
| 41 |
+
"eval_steps_per_second": 3.817,
|
| 42 |
+
"step": 789
|
| 43 |
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},
|
| 44 |
+
{
|
| 45 |
+
"epoch": 3.8,
|
| 46 |
+
"learning_rate": 1.7576530612244898e-06,
|
| 47 |
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"loss": 1.3824,
|
| 48 |
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"step": 1000
|
| 49 |
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},
|
| 50 |
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{
|
| 51 |
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"epoch": 4.0,
|
| 52 |
+
"eval_accuracy": 0.9971428571428571,
|
| 53 |
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"eval_loss": 1.0856280326843262,
|
| 54 |
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"eval_runtime": 34.8438,
|
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| 23 |
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"11": "Potato",
|
| 24 |
+
"12": "Pumpkin",
|
| 25 |
+
"13": "Radish",
|
| 26 |
+
"14": "Tomato"
|
| 27 |
+
},
|
| 28 |
+
"image_size": 224,
|
| 29 |
+
"initializer_range": 0.02,
|
| 30 |
+
"intermediate_size": 3072,
|
| 31 |
+
"label2id": {
|
| 32 |
+
"Bean": 0,
|
| 33 |
+
"Bitter_Gourd": 1,
|
| 34 |
+
"Bottle_Gourd": 2,
|
| 35 |
+
"Brinjal": 3,
|
| 36 |
+
"Broccoli": 4,
|
| 37 |
+
"Cabbage": 5,
|
| 38 |
+
"Capsicum": 6,
|
| 39 |
+
"Carrot": 7,
|
| 40 |
+
"Cauliflower": 8,
|
| 41 |
+
"Cucumber": 9,
|
| 42 |
+
"Papaya": 10,
|
| 43 |
+
"Potato": 11,
|
| 44 |
+
"Pumpkin": 12,
|
| 45 |
+
"Radish": 13,
|
| 46 |
+
"Tomato": 14
|
| 47 |
+
},
|
| 48 |
+
"layer_norm_eps": 1e-12,
|
| 49 |
+
"model_type": "vit",
|
| 50 |
+
"num_attention_heads": 12,
|
| 51 |
+
"num_channels": 3,
|
| 52 |
+
"num_hidden_layers": 12,
|
| 53 |
+
"patch_size": 16,
|
| 54 |
+
"problem_type": "single_label_classification",
|
| 55 |
+
"qkv_bias": true,
|
| 56 |
+
"torch_dtype": "float32",
|
| 57 |
+
"transformers_version": "4.35.2"
|
| 58 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:3fa9ddeb6b79169fd534e4d479b9a7ab85477f71e0f1f75cc3d015c809ffd657
|
| 3 |
+
size 343263964
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_normalize": true,
|
| 3 |
+
"do_rescale": true,
|
| 4 |
+
"do_resize": true,
|
| 5 |
+
"image_mean": [
|
| 6 |
+
0.5,
|
| 7 |
+
0.5,
|
| 8 |
+
0.5
|
| 9 |
+
],
|
| 10 |
+
"image_processor_type": "ViTImageProcessor",
|
| 11 |
+
"image_std": [
|
| 12 |
+
0.5,
|
| 13 |
+
0.5,
|
| 14 |
+
0.5
|
| 15 |
+
],
|
| 16 |
+
"resample": 2,
|
| 17 |
+
"rescale_factor": 0.00392156862745098,
|
| 18 |
+
"size": {
|
| 19 |
+
"height": 224,
|
| 20 |
+
"width": 224
|
| 21 |
+
}
|
| 22 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f9729811270590a17de24fc4ead7324de9c9b689f0e2a7241004360afdb642b4
|
| 3 |
+
size 4091
|