Upload folder using huggingface_hub
Browse files- checkpoint-6690/config.json +132 -0
- checkpoint-6690/optimizer.pt +3 -0
- checkpoint-6690/preprocessor_config.json +22 -0
- checkpoint-6690/pytorch_model.bin +3 -0
- checkpoint-6690/rng_state.pth +3 -0
- checkpoint-6690/scheduler.pt +3 -0
- checkpoint-6690/trainer_state.json +367 -0
- checkpoint-6690/training_args.bin +3 -0
- config.json +132 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
checkpoint-6690/config.json
ADDED
|
@@ -0,0 +1,132 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "google/vit-base-patch16-224-in21k",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"ViTForImageClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.0,
|
| 7 |
+
"encoder_stride": 16,
|
| 8 |
+
"hidden_act": "gelu",
|
| 9 |
+
"hidden_dropout_prob": 0.0,
|
| 10 |
+
"hidden_size": 768,
|
| 11 |
+
"id2label": {
|
| 12 |
+
"0": "Jackfruit",
|
| 13 |
+
"1": "Ashoka",
|
| 14 |
+
"2": "Guava",
|
| 15 |
+
"3": "Betel_Nut",
|
| 16 |
+
"4": "Amruta_Balli",
|
| 17 |
+
"5": "Tamarind",
|
| 18 |
+
"6": "Jasmine",
|
| 19 |
+
"7": "Lemon_grass",
|
| 20 |
+
"8": "Palak(Spinach)",
|
| 21 |
+
"9": "Ashwagandha",
|
| 22 |
+
"10": "Doddpathre",
|
| 23 |
+
"11": "Tulsi",
|
| 24 |
+
"12": "Aloevera",
|
| 25 |
+
"13": "Doddapatre",
|
| 26 |
+
"14": "Amla",
|
| 27 |
+
"15": "Insulin",
|
| 28 |
+
"16": "Raktachandini",
|
| 29 |
+
"17": "Neem",
|
| 30 |
+
"18": "Brahmi",
|
| 31 |
+
"19": "Arali",
|
| 32 |
+
"20": "Seethapala",
|
| 33 |
+
"21": "Nagadali",
|
| 34 |
+
"22": "Bhrami",
|
| 35 |
+
"23": "Castor",
|
| 36 |
+
"24": "Basale",
|
| 37 |
+
"25": "Pomegranate",
|
| 38 |
+
"26": "Coriender",
|
| 39 |
+
"27": "Nithyapushpa",
|
| 40 |
+
"28": "Tulasi",
|
| 41 |
+
"29": "Catharanthus",
|
| 42 |
+
"30": "Wood_sorel",
|
| 43 |
+
"31": "Hibiscus",
|
| 44 |
+
"32": "Sapota",
|
| 45 |
+
"33": "Curry",
|
| 46 |
+
"34": "Mango",
|
| 47 |
+
"35": "Curry_Leaf",
|
| 48 |
+
"36": "Honge",
|
| 49 |
+
"37": "Mint",
|
| 50 |
+
"38": "Bamboo",
|
| 51 |
+
"39": "Rose",
|
| 52 |
+
"40": "Pepper",
|
| 53 |
+
"41": "Papaya",
|
| 54 |
+
"42": "Gauva",
|
| 55 |
+
"43": "Lemon",
|
| 56 |
+
"44": "Nooni",
|
| 57 |
+
"45": "Betel",
|
| 58 |
+
"46": "Ekka",
|
| 59 |
+
"47": "Avacado",
|
| 60 |
+
"48": "Ganike",
|
| 61 |
+
"49": "Henna",
|
| 62 |
+
"50": "Pappaya",
|
| 63 |
+
"51": "Geranium"
|
| 64 |
+
},
|
| 65 |
+
"image_size": 224,
|
| 66 |
+
"initializer_range": 0.02,
|
| 67 |
+
"intermediate_size": 3072,
|
| 68 |
+
"label2id": {
|
| 69 |
+
"Aloevera": 12,
|
| 70 |
+
"Amla": 14,
|
| 71 |
+
"Amruta_Balli": 4,
|
| 72 |
+
"Arali": 19,
|
| 73 |
+
"Ashoka": 1,
|
| 74 |
+
"Ashwagandha": 9,
|
| 75 |
+
"Avacado": 47,
|
| 76 |
+
"Bamboo": 38,
|
| 77 |
+
"Basale": 24,
|
| 78 |
+
"Betel": 45,
|
| 79 |
+
"Betel_Nut": 3,
|
| 80 |
+
"Bhrami": 22,
|
| 81 |
+
"Brahmi": 18,
|
| 82 |
+
"Castor": 23,
|
| 83 |
+
"Catharanthus": 29,
|
| 84 |
+
"Coriender": 26,
|
| 85 |
+
"Curry": 33,
|
| 86 |
+
"Curry_Leaf": 35,
|
| 87 |
+
"Doddapatre": 13,
|
| 88 |
+
"Doddpathre": 10,
|
| 89 |
+
"Ekka": 46,
|
| 90 |
+
"Ganike": 48,
|
| 91 |
+
"Gauva": 42,
|
| 92 |
+
"Geranium": 51,
|
| 93 |
+
"Guava": 2,
|
| 94 |
+
"Henna": 49,
|
| 95 |
+
"Hibiscus": 31,
|
| 96 |
+
"Honge": 36,
|
| 97 |
+
"Insulin": 15,
|
| 98 |
+
"Jackfruit": 0,
|
| 99 |
+
"Jasmine": 6,
|
| 100 |
+
"Lemon": 43,
|
| 101 |
+
"Lemon_grass": 7,
|
| 102 |
+
"Mango": 34,
|
| 103 |
+
"Mint": 37,
|
| 104 |
+
"Nagadali": 21,
|
| 105 |
+
"Neem": 17,
|
| 106 |
+
"Nithyapushpa": 27,
|
| 107 |
+
"Nooni": 44,
|
| 108 |
+
"Palak(Spinach)": 8,
|
| 109 |
+
"Papaya": 41,
|
| 110 |
+
"Pappaya": 50,
|
| 111 |
+
"Pepper": 40,
|
| 112 |
+
"Pomegranate": 25,
|
| 113 |
+
"Raktachandini": 16,
|
| 114 |
+
"Rose": 39,
|
| 115 |
+
"Sapota": 32,
|
| 116 |
+
"Seethapala": 20,
|
| 117 |
+
"Tamarind": 5,
|
| 118 |
+
"Tulasi": 28,
|
| 119 |
+
"Tulsi": 11,
|
| 120 |
+
"Wood_sorel": 30
|
| 121 |
+
},
|
| 122 |
+
"layer_norm_eps": 1e-12,
|
| 123 |
+
"model_type": "vit",
|
| 124 |
+
"num_attention_heads": 12,
|
| 125 |
+
"num_channels": 3,
|
| 126 |
+
"num_hidden_layers": 12,
|
| 127 |
+
"patch_size": 16,
|
| 128 |
+
"problem_type": "single_label_classification",
|
| 129 |
+
"qkv_bias": true,
|
| 130 |
+
"torch_dtype": "float32",
|
| 131 |
+
"transformers_version": "4.34.0"
|
| 132 |
+
}
|
checkpoint-6690/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6d01e0344d7cef002ebab01c424117323ac386e38520619ca8f1dde8e2726cb6
|
| 3 |
+
size 686876037
|
checkpoint-6690/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 |
+
}
|
checkpoint-6690/pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:66fe27de316fdbff5f4ad4afe366aa81bb40f846ad56825606bce3db008f2ed3
|
| 3 |
+
size 343422509
|
checkpoint-6690/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e0c7fea4d850b4851a1da61d9fc8818b483c1951b244b085ee2453183c5223e1
|
| 3 |
+
size 14575
|
checkpoint-6690/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1d52ee7fdc399d5377aeff037fc7da32f92f6f36eb0780e5135892bb5ede30e5
|
| 3 |
+
size 627
|
checkpoint-6690/trainer_state.json
ADDED
|
@@ -0,0 +1,367 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.28052204847335815,
|
| 3 |
+
"best_model_checkpoint": "medicinal_plants_image_detection/checkpoint-6690",
|
| 4 |
+
"epoch": 30.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 6690,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 1.0,
|
| 13 |
+
"eval_accuracy": 0.5224466891133558,
|
| 14 |
+
"eval_loss": 3.621936798095703,
|
| 15 |
+
"eval_runtime": 45.445,
|
| 16 |
+
"eval_samples_per_second": 39.212,
|
| 17 |
+
"eval_steps_per_second": 4.907,
|
| 18 |
+
"step": 223
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"epoch": 2.0,
|
| 22 |
+
"eval_accuracy": 0.7609427609427609,
|
| 23 |
+
"eval_loss": 3.159752368927002,
|
| 24 |
+
"eval_runtime": 45.5542,
|
| 25 |
+
"eval_samples_per_second": 39.118,
|
| 26 |
+
"eval_steps_per_second": 4.895,
|
| 27 |
+
"step": 446
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 2.24,
|
| 31 |
+
"learning_rate": 9.322289156626508e-06,
|
| 32 |
+
"loss": 3.5,
|
| 33 |
+
"step": 500
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 3.0,
|
| 37 |
+
"eval_accuracy": 0.8507295173961841,
|
| 38 |
+
"eval_loss": 2.7588770389556885,
|
| 39 |
+
"eval_runtime": 45.5111,
|
| 40 |
+
"eval_samples_per_second": 39.155,
|
| 41 |
+
"eval_steps_per_second": 4.9,
|
| 42 |
+
"step": 669
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"epoch": 4.0,
|
| 46 |
+
"eval_accuracy": 0.8888888888888888,
|
| 47 |
+
"eval_loss": 2.4124934673309326,
|
| 48 |
+
"eval_runtime": 45.1899,
|
| 49 |
+
"eval_samples_per_second": 39.434,
|
| 50 |
+
"eval_steps_per_second": 4.935,
|
| 51 |
+
"step": 892
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 4.48,
|
| 55 |
+
"learning_rate": 8.569277108433736e-06,
|
| 56 |
+
"loss": 2.5242,
|
| 57 |
+
"step": 1000
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 5.0,
|
| 61 |
+
"eval_accuracy": 0.9219977553310886,
|
| 62 |
+
"eval_loss": 2.1181986331939697,
|
| 63 |
+
"eval_runtime": 45.2239,
|
| 64 |
+
"eval_samples_per_second": 39.404,
|
| 65 |
+
"eval_steps_per_second": 4.931,
|
| 66 |
+
"step": 1115
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 6.0,
|
| 70 |
+
"eval_accuracy": 0.9393939393939394,
|
| 71 |
+
"eval_loss": 1.8573017120361328,
|
| 72 |
+
"eval_runtime": 45.4841,
|
| 73 |
+
"eval_samples_per_second": 39.179,
|
| 74 |
+
"eval_steps_per_second": 4.903,
|
| 75 |
+
"step": 1338
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 6.73,
|
| 79 |
+
"learning_rate": 7.816265060240964e-06,
|
| 80 |
+
"loss": 1.8236,
|
| 81 |
+
"step": 1500
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 7.0,
|
| 85 |
+
"eval_accuracy": 0.9551066217732884,
|
| 86 |
+
"eval_loss": 1.6432667970657349,
|
| 87 |
+
"eval_runtime": 45.4681,
|
| 88 |
+
"eval_samples_per_second": 39.192,
|
| 89 |
+
"eval_steps_per_second": 4.905,
|
| 90 |
+
"step": 1561
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"epoch": 8.0,
|
| 94 |
+
"eval_accuracy": 0.9691358024691358,
|
| 95 |
+
"eval_loss": 1.4516135454177856,
|
| 96 |
+
"eval_runtime": 45.5175,
|
| 97 |
+
"eval_samples_per_second": 39.15,
|
| 98 |
+
"eval_steps_per_second": 4.899,
|
| 99 |
+
"step": 1784
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 8.97,
|
| 103 |
+
"learning_rate": 7.063253012048194e-06,
|
| 104 |
+
"loss": 1.3283,
|
| 105 |
+
"step": 2000
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 9.0,
|
| 109 |
+
"eval_accuracy": 0.9747474747474747,
|
| 110 |
+
"eval_loss": 1.2823936939239502,
|
| 111 |
+
"eval_runtime": 45.6295,
|
| 112 |
+
"eval_samples_per_second": 39.054,
|
| 113 |
+
"eval_steps_per_second": 4.887,
|
| 114 |
+
"step": 2007
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 10.0,
|
| 118 |
+
"eval_accuracy": 0.9769921436588104,
|
| 119 |
+
"eval_loss": 1.1340467929840088,
|
| 120 |
+
"eval_runtime": 45.4653,
|
| 121 |
+
"eval_samples_per_second": 39.195,
|
| 122 |
+
"eval_steps_per_second": 4.905,
|
| 123 |
+
"step": 2230
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 11.0,
|
| 127 |
+
"eval_accuracy": 0.9814814814814815,
|
| 128 |
+
"eval_loss": 0.9985994100570679,
|
| 129 |
+
"eval_runtime": 45.999,
|
| 130 |
+
"eval_samples_per_second": 38.74,
|
| 131 |
+
"eval_steps_per_second": 4.848,
|
| 132 |
+
"step": 2453
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"epoch": 11.21,
|
| 136 |
+
"learning_rate": 6.310240963855422e-06,
|
| 137 |
+
"loss": 0.9692,
|
| 138 |
+
"step": 2500
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"epoch": 12.0,
|
| 142 |
+
"eval_accuracy": 0.9831649831649831,
|
| 143 |
+
"eval_loss": 0.8862083554267883,
|
| 144 |
+
"eval_runtime": 45.5666,
|
| 145 |
+
"eval_samples_per_second": 39.108,
|
| 146 |
+
"eval_steps_per_second": 4.894,
|
| 147 |
+
"step": 2676
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 13.0,
|
| 151 |
+
"eval_accuracy": 0.9854096520763187,
|
| 152 |
+
"eval_loss": 0.7906228303909302,
|
| 153 |
+
"eval_runtime": 44.9338,
|
| 154 |
+
"eval_samples_per_second": 39.658,
|
| 155 |
+
"eval_steps_per_second": 4.963,
|
| 156 |
+
"step": 2899
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 13.45,
|
| 160 |
+
"learning_rate": 5.5572289156626515e-06,
|
| 161 |
+
"loss": 0.7116,
|
| 162 |
+
"step": 3000
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 14.0,
|
| 166 |
+
"eval_accuracy": 0.9870931537598204,
|
| 167 |
+
"eval_loss": 0.6977649331092834,
|
| 168 |
+
"eval_runtime": 45.1684,
|
| 169 |
+
"eval_samples_per_second": 39.452,
|
| 170 |
+
"eval_steps_per_second": 4.937,
|
| 171 |
+
"step": 3122
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 15.0,
|
| 175 |
+
"eval_accuracy": 0.9870931537598204,
|
| 176 |
+
"eval_loss": 0.6234857439994812,
|
| 177 |
+
"eval_runtime": 45.0363,
|
| 178 |
+
"eval_samples_per_second": 39.568,
|
| 179 |
+
"eval_steps_per_second": 4.952,
|
| 180 |
+
"step": 3345
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 15.7,
|
| 184 |
+
"learning_rate": 4.80421686746988e-06,
|
| 185 |
+
"loss": 0.53,
|
| 186 |
+
"step": 3500
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 16.0,
|
| 190 |
+
"eval_accuracy": 0.9904601571268238,
|
| 191 |
+
"eval_loss": 0.5597462058067322,
|
| 192 |
+
"eval_runtime": 44.878,
|
| 193 |
+
"eval_samples_per_second": 39.708,
|
| 194 |
+
"eval_steps_per_second": 4.969,
|
| 195 |
+
"step": 3568
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 17.0,
|
| 199 |
+
"eval_accuracy": 0.9887766554433222,
|
| 200 |
+
"eval_loss": 0.5049222111701965,
|
| 201 |
+
"eval_runtime": 45.1263,
|
| 202 |
+
"eval_samples_per_second": 39.489,
|
| 203 |
+
"eval_steps_per_second": 4.942,
|
| 204 |
+
"step": 3791
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 17.94,
|
| 208 |
+
"learning_rate": 4.051204819277109e-06,
|
| 209 |
+
"loss": 0.4073,
|
| 210 |
+
"step": 4000
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 18.0,
|
| 214 |
+
"eval_accuracy": 0.989337822671156,
|
| 215 |
+
"eval_loss": 0.4634532928466797,
|
| 216 |
+
"eval_runtime": 44.6989,
|
| 217 |
+
"eval_samples_per_second": 39.867,
|
| 218 |
+
"eval_steps_per_second": 4.989,
|
| 219 |
+
"step": 4014
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 19.0,
|
| 223 |
+
"eval_accuracy": 0.9904601571268238,
|
| 224 |
+
"eval_loss": 0.42882513999938965,
|
| 225 |
+
"eval_runtime": 44.7611,
|
| 226 |
+
"eval_samples_per_second": 39.811,
|
| 227 |
+
"eval_steps_per_second": 4.982,
|
| 228 |
+
"step": 4237
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 20.0,
|
| 232 |
+
"eval_accuracy": 0.9904601571268238,
|
| 233 |
+
"eval_loss": 0.39720582962036133,
|
| 234 |
+
"eval_runtime": 44.9863,
|
| 235 |
+
"eval_samples_per_second": 39.612,
|
| 236 |
+
"eval_steps_per_second": 4.957,
|
| 237 |
+
"step": 4460
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 20.18,
|
| 241 |
+
"learning_rate": 3.2981927710843376e-06,
|
| 242 |
+
"loss": 0.3254,
|
| 243 |
+
"step": 4500
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 21.0,
|
| 247 |
+
"eval_accuracy": 0.9904601571268238,
|
| 248 |
+
"eval_loss": 0.36991086602211,
|
| 249 |
+
"eval_runtime": 44.8899,
|
| 250 |
+
"eval_samples_per_second": 39.697,
|
| 251 |
+
"eval_steps_per_second": 4.968,
|
| 252 |
+
"step": 4683
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"epoch": 22.0,
|
| 256 |
+
"eval_accuracy": 0.98989898989899,
|
| 257 |
+
"eval_loss": 0.3508218824863434,
|
| 258 |
+
"eval_runtime": 45.3359,
|
| 259 |
+
"eval_samples_per_second": 39.307,
|
| 260 |
+
"eval_steps_per_second": 4.919,
|
| 261 |
+
"step": 4906
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 22.42,
|
| 265 |
+
"learning_rate": 2.5451807228915665e-06,
|
| 266 |
+
"loss": 0.2737,
|
| 267 |
+
"step": 5000
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 23.0,
|
| 271 |
+
"eval_accuracy": 0.9910213243546577,
|
| 272 |
+
"eval_loss": 0.33179301023483276,
|
| 273 |
+
"eval_runtime": 45.6337,
|
| 274 |
+
"eval_samples_per_second": 39.05,
|
| 275 |
+
"eval_steps_per_second": 4.887,
|
| 276 |
+
"step": 5129
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 24.0,
|
| 280 |
+
"eval_accuracy": 0.9910213243546577,
|
| 281 |
+
"eval_loss": 0.317856103181839,
|
| 282 |
+
"eval_runtime": 45.6013,
|
| 283 |
+
"eval_samples_per_second": 39.078,
|
| 284 |
+
"eval_steps_per_second": 4.89,
|
| 285 |
+
"step": 5352
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 24.66,
|
| 289 |
+
"learning_rate": 1.7921686746987955e-06,
|
| 290 |
+
"loss": 0.2405,
|
| 291 |
+
"step": 5500
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 25.0,
|
| 295 |
+
"eval_accuracy": 0.9910213243546577,
|
| 296 |
+
"eval_loss": 0.3068135380744934,
|
| 297 |
+
"eval_runtime": 45.171,
|
| 298 |
+
"eval_samples_per_second": 39.45,
|
| 299 |
+
"eval_steps_per_second": 4.937,
|
| 300 |
+
"step": 5575
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 26.0,
|
| 304 |
+
"eval_accuracy": 0.9910213243546577,
|
| 305 |
+
"eval_loss": 0.29571664333343506,
|
| 306 |
+
"eval_runtime": 44.7575,
|
| 307 |
+
"eval_samples_per_second": 39.815,
|
| 308 |
+
"eval_steps_per_second": 4.982,
|
| 309 |
+
"step": 5798
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 26.91,
|
| 313 |
+
"learning_rate": 1.0391566265060242e-06,
|
| 314 |
+
"loss": 0.2186,
|
| 315 |
+
"step": 6000
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"epoch": 27.0,
|
| 319 |
+
"eval_accuracy": 0.9910213243546577,
|
| 320 |
+
"eval_loss": 0.2889450490474701,
|
| 321 |
+
"eval_runtime": 45.009,
|
| 322 |
+
"eval_samples_per_second": 39.592,
|
| 323 |
+
"eval_steps_per_second": 4.955,
|
| 324 |
+
"step": 6021
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 28.0,
|
| 328 |
+
"eval_accuracy": 0.9910213243546577,
|
| 329 |
+
"eval_loss": 0.284732460975647,
|
| 330 |
+
"eval_runtime": 45.1978,
|
| 331 |
+
"eval_samples_per_second": 39.427,
|
| 332 |
+
"eval_steps_per_second": 4.934,
|
| 333 |
+
"step": 6244
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
"epoch": 29.0,
|
| 337 |
+
"eval_accuracy": 0.9904601571268238,
|
| 338 |
+
"eval_loss": 0.28154030442237854,
|
| 339 |
+
"eval_runtime": 44.4324,
|
| 340 |
+
"eval_samples_per_second": 40.106,
|
| 341 |
+
"eval_steps_per_second": 5.019,
|
| 342 |
+
"step": 6467
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 29.15,
|
| 346 |
+
"learning_rate": 2.8614457831325304e-07,
|
| 347 |
+
"loss": 0.2063,
|
| 348 |
+
"step": 6500
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 30.0,
|
| 352 |
+
"eval_accuracy": 0.9910213243546577,
|
| 353 |
+
"eval_loss": 0.28052204847335815,
|
| 354 |
+
"eval_runtime": 44.5001,
|
| 355 |
+
"eval_samples_per_second": 40.045,
|
| 356 |
+
"eval_steps_per_second": 5.011,
|
| 357 |
+
"step": 6690
|
| 358 |
+
}
|
| 359 |
+
],
|
| 360 |
+
"logging_steps": 500,
|
| 361 |
+
"max_steps": 6690,
|
| 362 |
+
"num_train_epochs": 30,
|
| 363 |
+
"save_steps": 500,
|
| 364 |
+
"total_flos": 1.6569009834178314e+19,
|
| 365 |
+
"trial_name": null,
|
| 366 |
+
"trial_params": null
|
| 367 |
+
}
|
checkpoint-6690/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e1a73b795ad1d960babcef6b054956509efa2db208a53fcf22ddd27e4cbcb494
|
| 3 |
+
size 4027
|
config.json
ADDED
|
@@ -0,0 +1,132 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "google/vit-base-patch16-224-in21k",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"ViTForImageClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.0,
|
| 7 |
+
"encoder_stride": 16,
|
| 8 |
+
"hidden_act": "gelu",
|
| 9 |
+
"hidden_dropout_prob": 0.0,
|
| 10 |
+
"hidden_size": 768,
|
| 11 |
+
"id2label": {
|
| 12 |
+
"0": "Jackfruit",
|
| 13 |
+
"1": "Ashoka",
|
| 14 |
+
"2": "Guava",
|
| 15 |
+
"3": "Betel_Nut",
|
| 16 |
+
"4": "Amruta_Balli",
|
| 17 |
+
"5": "Tamarind",
|
| 18 |
+
"6": "Jasmine",
|
| 19 |
+
"7": "Lemon_grass",
|
| 20 |
+
"8": "Palak(Spinach)",
|
| 21 |
+
"9": "Ashwagandha",
|
| 22 |
+
"10": "Doddpathre",
|
| 23 |
+
"11": "Tulsi",
|
| 24 |
+
"12": "Aloevera",
|
| 25 |
+
"13": "Doddapatre",
|
| 26 |
+
"14": "Amla",
|
| 27 |
+
"15": "Insulin",
|
| 28 |
+
"16": "Raktachandini",
|
| 29 |
+
"17": "Neem",
|
| 30 |
+
"18": "Brahmi",
|
| 31 |
+
"19": "Arali",
|
| 32 |
+
"20": "Seethapala",
|
| 33 |
+
"21": "Nagadali",
|
| 34 |
+
"22": "Bhrami",
|
| 35 |
+
"23": "Castor",
|
| 36 |
+
"24": "Basale",
|
| 37 |
+
"25": "Pomegranate",
|
| 38 |
+
"26": "Coriender",
|
| 39 |
+
"27": "Nithyapushpa",
|
| 40 |
+
"28": "Tulasi",
|
| 41 |
+
"29": "Catharanthus",
|
| 42 |
+
"30": "Wood_sorel",
|
| 43 |
+
"31": "Hibiscus",
|
| 44 |
+
"32": "Sapota",
|
| 45 |
+
"33": "Curry",
|
| 46 |
+
"34": "Mango",
|
| 47 |
+
"35": "Curry_Leaf",
|
| 48 |
+
"36": "Honge",
|
| 49 |
+
"37": "Mint",
|
| 50 |
+
"38": "Bamboo",
|
| 51 |
+
"39": "Rose",
|
| 52 |
+
"40": "Pepper",
|
| 53 |
+
"41": "Papaya",
|
| 54 |
+
"42": "Gauva",
|
| 55 |
+
"43": "Lemon",
|
| 56 |
+
"44": "Nooni",
|
| 57 |
+
"45": "Betel",
|
| 58 |
+
"46": "Ekka",
|
| 59 |
+
"47": "Avacado",
|
| 60 |
+
"48": "Ganike",
|
| 61 |
+
"49": "Henna",
|
| 62 |
+
"50": "Pappaya",
|
| 63 |
+
"51": "Geranium"
|
| 64 |
+
},
|
| 65 |
+
"image_size": 224,
|
| 66 |
+
"initializer_range": 0.02,
|
| 67 |
+
"intermediate_size": 3072,
|
| 68 |
+
"label2id": {
|
| 69 |
+
"Aloevera": 12,
|
| 70 |
+
"Amla": 14,
|
| 71 |
+
"Amruta_Balli": 4,
|
| 72 |
+
"Arali": 19,
|
| 73 |
+
"Ashoka": 1,
|
| 74 |
+
"Ashwagandha": 9,
|
| 75 |
+
"Avacado": 47,
|
| 76 |
+
"Bamboo": 38,
|
| 77 |
+
"Basale": 24,
|
| 78 |
+
"Betel": 45,
|
| 79 |
+
"Betel_Nut": 3,
|
| 80 |
+
"Bhrami": 22,
|
| 81 |
+
"Brahmi": 18,
|
| 82 |
+
"Castor": 23,
|
| 83 |
+
"Catharanthus": 29,
|
| 84 |
+
"Coriender": 26,
|
| 85 |
+
"Curry": 33,
|
| 86 |
+
"Curry_Leaf": 35,
|
| 87 |
+
"Doddapatre": 13,
|
| 88 |
+
"Doddpathre": 10,
|
| 89 |
+
"Ekka": 46,
|
| 90 |
+
"Ganike": 48,
|
| 91 |
+
"Gauva": 42,
|
| 92 |
+
"Geranium": 51,
|
| 93 |
+
"Guava": 2,
|
| 94 |
+
"Henna": 49,
|
| 95 |
+
"Hibiscus": 31,
|
| 96 |
+
"Honge": 36,
|
| 97 |
+
"Insulin": 15,
|
| 98 |
+
"Jackfruit": 0,
|
| 99 |
+
"Jasmine": 6,
|
| 100 |
+
"Lemon": 43,
|
| 101 |
+
"Lemon_grass": 7,
|
| 102 |
+
"Mango": 34,
|
| 103 |
+
"Mint": 37,
|
| 104 |
+
"Nagadali": 21,
|
| 105 |
+
"Neem": 17,
|
| 106 |
+
"Nithyapushpa": 27,
|
| 107 |
+
"Nooni": 44,
|
| 108 |
+
"Palak(Spinach)": 8,
|
| 109 |
+
"Papaya": 41,
|
| 110 |
+
"Pappaya": 50,
|
| 111 |
+
"Pepper": 40,
|
| 112 |
+
"Pomegranate": 25,
|
| 113 |
+
"Raktachandini": 16,
|
| 114 |
+
"Rose": 39,
|
| 115 |
+
"Sapota": 32,
|
| 116 |
+
"Seethapala": 20,
|
| 117 |
+
"Tamarind": 5,
|
| 118 |
+
"Tulasi": 28,
|
| 119 |
+
"Tulsi": 11,
|
| 120 |
+
"Wood_sorel": 30
|
| 121 |
+
},
|
| 122 |
+
"layer_norm_eps": 1e-12,
|
| 123 |
+
"model_type": "vit",
|
| 124 |
+
"num_attention_heads": 12,
|
| 125 |
+
"num_channels": 3,
|
| 126 |
+
"num_hidden_layers": 12,
|
| 127 |
+
"patch_size": 16,
|
| 128 |
+
"problem_type": "single_label_classification",
|
| 129 |
+
"qkv_bias": true,
|
| 130 |
+
"torch_dtype": "float32",
|
| 131 |
+
"transformers_version": "4.34.0"
|
| 132 |
+
}
|
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 |
+
}
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:66fe27de316fdbff5f4ad4afe366aa81bb40f846ad56825606bce3db008f2ed3
|
| 3 |
+
size 343422509
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e1a73b795ad1d960babcef6b054956509efa2db208a53fcf22ddd27e4cbcb494
|
| 3 |
+
size 4027
|