Instructions to use dzinampini/beans-leaf-disease-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dzinampini/beans-leaf-disease-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dzinampini/beans-leaf-disease-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("dzinampini/beans-leaf-disease-detection") model = AutoModelForImageClassification.from_pretrained("dzinampini/beans-leaf-disease-detection") - Notebooks
- Google Colab
- Kaggle
🍻 cheers
Browse files- README.md +7 -6
- all_results.json +12 -12
- eval_results.json +8 -8
- runs/Apr08_12-13-15_8daea7f679cf/events.out.tfevents.1744114795.8daea7f679cf.15724.4 +3 -0
- train_results.json +4 -4
- trainer_state.json +111 -75
README.md
CHANGED
|
@@ -3,6 +3,7 @@ library_name: transformers
|
|
| 3 |
license: apache-2.0
|
| 4 |
base_model: google/vit-base-patch16-224-in21k
|
| 5 |
tags:
|
|
|
|
| 6 |
- generated_from_trainer
|
| 7 |
metrics:
|
| 8 |
- accuracy
|
|
@@ -19,13 +20,13 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 19 |
|
| 20 |
# beans-leaf-disease-detection
|
| 21 |
|
| 22 |
-
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on
|
| 23 |
It achieves the following results on the evaluation set:
|
| 24 |
-
- Loss: 0.
|
| 25 |
-
- Accuracy: 0.
|
| 26 |
-
- Precision: 0.
|
| 27 |
-
- Recall: 0.
|
| 28 |
-
- F1: 0.
|
| 29 |
|
| 30 |
## Model description
|
| 31 |
|
|
|
|
| 3 |
license: apache-2.0
|
| 4 |
base_model: google/vit-base-patch16-224-in21k
|
| 5 |
tags:
|
| 6 |
+
- image-classification
|
| 7 |
- generated_from_trainer
|
| 8 |
metrics:
|
| 9 |
- accuracy
|
|
|
|
| 20 |
|
| 21 |
# beans-leaf-disease-detection
|
| 22 |
|
| 23 |
+
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
|
| 24 |
It achieves the following results on the evaluation set:
|
| 25 |
+
- Loss: 0.0404
|
| 26 |
+
- Accuracy: 0.9925
|
| 27 |
+
- Precision: 0.9926
|
| 28 |
+
- Recall: 0.9925
|
| 29 |
+
- F1: 0.9925
|
| 30 |
|
| 31 |
## Model description
|
| 32 |
|
all_results.json
CHANGED
|
@@ -1,16 +1,16 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 4.0,
|
| 3 |
-
"eval_accuracy":
|
| 4 |
-
"eval_f1":
|
| 5 |
-
"eval_loss": 0.
|
| 6 |
-
"eval_precision":
|
| 7 |
-
"eval_recall":
|
| 8 |
-
"eval_runtime":
|
| 9 |
-
"eval_samples_per_second":
|
| 10 |
-
"eval_steps_per_second":
|
| 11 |
"total_flos": 3.205097416476426e+17,
|
| 12 |
-
"train_loss": 0.
|
| 13 |
-
"train_runtime":
|
| 14 |
-
"train_samples_per_second":
|
| 15 |
-
"train_steps_per_second":
|
| 16 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 4.0,
|
| 3 |
+
"eval_accuracy": 0.9924812030075187,
|
| 4 |
+
"eval_f1": 0.9924802319630927,
|
| 5 |
+
"eval_loss": 0.04042869806289673,
|
| 6 |
+
"eval_precision": 0.9926482873851294,
|
| 7 |
+
"eval_recall": 0.9924812030075187,
|
| 8 |
+
"eval_runtime": 1.4609,
|
| 9 |
+
"eval_samples_per_second": 91.039,
|
| 10 |
+
"eval_steps_per_second": 11.637,
|
| 11 |
"total_flos": 3.205097416476426e+17,
|
| 12 |
+
"train_loss": 0.04095530418249277,
|
| 13 |
+
"train_runtime": 294.0083,
|
| 14 |
+
"train_samples_per_second": 14.068,
|
| 15 |
+
"train_steps_per_second": 0.884
|
| 16 |
}
|
eval_results.json
CHANGED
|
@@ -1,11 +1,11 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 4.0,
|
| 3 |
-
"eval_accuracy":
|
| 4 |
-
"eval_f1":
|
| 5 |
-
"eval_loss": 0.
|
| 6 |
-
"eval_precision":
|
| 7 |
-
"eval_recall":
|
| 8 |
-
"eval_runtime":
|
| 9 |
-
"eval_samples_per_second":
|
| 10 |
-
"eval_steps_per_second":
|
| 11 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 4.0,
|
| 3 |
+
"eval_accuracy": 0.9924812030075187,
|
| 4 |
+
"eval_f1": 0.9924802319630927,
|
| 5 |
+
"eval_loss": 0.04042869806289673,
|
| 6 |
+
"eval_precision": 0.9926482873851294,
|
| 7 |
+
"eval_recall": 0.9924812030075187,
|
| 8 |
+
"eval_runtime": 1.4609,
|
| 9 |
+
"eval_samples_per_second": 91.039,
|
| 10 |
+
"eval_steps_per_second": 11.637
|
| 11 |
}
|
runs/Apr08_12-13-15_8daea7f679cf/events.out.tfevents.1744114795.8daea7f679cf.15724.4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7873338ee427a9cc0fb70bac41060bf2149b7af890a521615b19272e3efab3a6
|
| 3 |
+
size 560
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 4.0,
|
| 3 |
"total_flos": 3.205097416476426e+17,
|
| 4 |
-
"train_loss": 0.
|
| 5 |
-
"train_runtime":
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second":
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 4.0,
|
| 3 |
"total_flos": 3.205097416476426e+17,
|
| 4 |
+
"train_loss": 0.04095530418249277,
|
| 5 |
+
"train_runtime": 294.0083,
|
| 6 |
+
"train_samples_per_second": 14.068,
|
| 7 |
+
"train_steps_per_second": 0.884
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"best_global_step": 200,
|
| 3 |
-
"best_metric":
|
| 4 |
"best_model_checkpoint": "./vit-base-beans-model-finetuned/checkpoint-200",
|
| 5 |
"epoch": 4.0,
|
| 6 |
-
"eval_steps":
|
| 7 |
"global_step": 260,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
|
@@ -11,225 +11,261 @@
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.15384615384615385,
|
| 14 |
-
"grad_norm":
|
| 15 |
"learning_rate": 0.00019230769230769233,
|
| 16 |
-
"loss": 0.
|
| 17 |
"step": 10
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 0.3076923076923077,
|
| 21 |
-
"grad_norm":
|
| 22 |
"learning_rate": 0.00018461538461538463,
|
| 23 |
-
"loss": 0.
|
| 24 |
"step": 20
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 0.46153846153846156,
|
| 28 |
-
"grad_norm":
|
| 29 |
"learning_rate": 0.00017692307692307693,
|
| 30 |
-
"loss": 0.
|
| 31 |
"step": 30
|
| 32 |
},
|
| 33 |
{
|
| 34 |
"epoch": 0.6153846153846154,
|
| 35 |
-
"grad_norm": 0.
|
| 36 |
"learning_rate": 0.00016923076923076923,
|
| 37 |
-
"loss": 0.
|
| 38 |
"step": 40
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.7692307692307693,
|
| 42 |
-
"grad_norm": 0.
|
| 43 |
"learning_rate": 0.00016153846153846155,
|
| 44 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 45 |
"step": 50
|
| 46 |
},
|
| 47 |
{
|
| 48 |
"epoch": 0.9230769230769231,
|
| 49 |
-
"grad_norm":
|
| 50 |
"learning_rate": 0.00015384615384615385,
|
| 51 |
-
"loss": 0.
|
| 52 |
"step": 60
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 1.0769230769230769,
|
| 56 |
-
"grad_norm":
|
| 57 |
"learning_rate": 0.00014615384615384615,
|
| 58 |
-
"loss": 0.
|
| 59 |
"step": 70
|
| 60 |
},
|
| 61 |
{
|
| 62 |
"epoch": 1.2307692307692308,
|
| 63 |
-
"grad_norm":
|
| 64 |
"learning_rate": 0.00013846153846153847,
|
| 65 |
-
"loss": 0.
|
| 66 |
"step": 80
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 1.3846153846153846,
|
| 70 |
-
"grad_norm": 0.
|
| 71 |
"learning_rate": 0.00013076923076923077,
|
| 72 |
-
"loss": 0.
|
| 73 |
"step": 90
|
| 74 |
},
|
| 75 |
{
|
| 76 |
"epoch": 1.5384615384615383,
|
| 77 |
-
"grad_norm":
|
| 78 |
"learning_rate": 0.0001230769230769231,
|
| 79 |
-
"loss": 0.
|
| 80 |
"step": 100
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 1.5384615384615383,
|
| 84 |
-
"eval_accuracy": 0.
|
| 85 |
-
"eval_f1": 0.
|
| 86 |
-
"eval_loss": 0.
|
| 87 |
-
"eval_precision": 0.
|
| 88 |
-
"eval_recall": 0.
|
| 89 |
-
"eval_runtime":
|
| 90 |
-
"eval_samples_per_second":
|
| 91 |
-
"eval_steps_per_second":
|
| 92 |
"step": 100
|
| 93 |
},
|
| 94 |
{
|
| 95 |
"epoch": 1.6923076923076923,
|
| 96 |
-
"grad_norm": 0.
|
| 97 |
"learning_rate": 0.00011538461538461538,
|
| 98 |
-
"loss": 0.
|
| 99 |
"step": 110
|
| 100 |
},
|
| 101 |
{
|
| 102 |
"epoch": 1.8461538461538463,
|
| 103 |
-
"grad_norm": 0.
|
| 104 |
"learning_rate": 0.0001076923076923077,
|
| 105 |
-
"loss": 0.
|
| 106 |
"step": 120
|
| 107 |
},
|
| 108 |
{
|
| 109 |
"epoch": 2.0,
|
| 110 |
-
"grad_norm": 0.
|
| 111 |
"learning_rate": 0.0001,
|
| 112 |
-
"loss": 0.
|
| 113 |
"step": 130
|
| 114 |
},
|
| 115 |
{
|
| 116 |
"epoch": 2.1538461538461537,
|
| 117 |
-
"grad_norm":
|
| 118 |
"learning_rate": 9.230769230769232e-05,
|
| 119 |
-
"loss": 0.
|
| 120 |
"step": 140
|
| 121 |
},
|
| 122 |
{
|
| 123 |
"epoch": 2.3076923076923075,
|
| 124 |
-
"grad_norm": 0.
|
| 125 |
"learning_rate": 8.461538461538461e-05,
|
| 126 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 127 |
"step": 150
|
| 128 |
},
|
| 129 |
{
|
| 130 |
"epoch": 2.4615384615384617,
|
| 131 |
-
"grad_norm":
|
| 132 |
"learning_rate": 7.692307692307693e-05,
|
| 133 |
-
"loss": 0.
|
| 134 |
"step": 160
|
| 135 |
},
|
| 136 |
{
|
| 137 |
"epoch": 2.6153846153846154,
|
| 138 |
-
"grad_norm": 0.
|
| 139 |
"learning_rate": 6.923076923076924e-05,
|
| 140 |
-
"loss": 0.
|
| 141 |
"step": 170
|
| 142 |
},
|
| 143 |
{
|
| 144 |
"epoch": 2.769230769230769,
|
| 145 |
-
"grad_norm": 0.
|
| 146 |
"learning_rate": 6.153846153846155e-05,
|
| 147 |
-
"loss": 0.
|
| 148 |
"step": 180
|
| 149 |
},
|
| 150 |
{
|
| 151 |
"epoch": 2.9230769230769234,
|
| 152 |
-
"grad_norm":
|
| 153 |
"learning_rate": 5.384615384615385e-05,
|
| 154 |
-
"loss": 0.
|
| 155 |
"step": 190
|
| 156 |
},
|
| 157 |
{
|
| 158 |
"epoch": 3.076923076923077,
|
| 159 |
-
"grad_norm": 0.
|
| 160 |
"learning_rate": 4.615384615384616e-05,
|
| 161 |
-
"loss": 0.
|
| 162 |
"step": 200
|
| 163 |
},
|
| 164 |
{
|
| 165 |
"epoch": 3.076923076923077,
|
| 166 |
-
"eval_accuracy":
|
| 167 |
-
"eval_f1":
|
| 168 |
-
"eval_loss": 0.
|
| 169 |
-
"eval_precision":
|
| 170 |
-
"eval_recall":
|
| 171 |
-
"eval_runtime":
|
| 172 |
-
"eval_samples_per_second":
|
| 173 |
-
"eval_steps_per_second":
|
| 174 |
"step": 200
|
| 175 |
},
|
| 176 |
{
|
| 177 |
"epoch": 3.230769230769231,
|
| 178 |
-
"grad_norm": 0.
|
| 179 |
"learning_rate": 3.846153846153846e-05,
|
| 180 |
-
"loss": 0.
|
| 181 |
"step": 210
|
| 182 |
},
|
| 183 |
{
|
| 184 |
"epoch": 3.3846153846153846,
|
| 185 |
-
"grad_norm": 0.
|
| 186 |
"learning_rate": 3.0769230769230774e-05,
|
| 187 |
-
"loss": 0.
|
| 188 |
"step": 220
|
| 189 |
},
|
| 190 |
{
|
| 191 |
"epoch": 3.5384615384615383,
|
| 192 |
-
"grad_norm": 0.
|
| 193 |
"learning_rate": 2.307692307692308e-05,
|
| 194 |
-
"loss": 0.
|
| 195 |
"step": 230
|
| 196 |
},
|
| 197 |
{
|
| 198 |
"epoch": 3.6923076923076925,
|
| 199 |
-
"grad_norm": 0.
|
| 200 |
"learning_rate": 1.5384615384615387e-05,
|
| 201 |
-
"loss": 0.
|
| 202 |
"step": 240
|
| 203 |
},
|
| 204 |
{
|
| 205 |
"epoch": 3.8461538461538463,
|
| 206 |
-
"grad_norm": 0.
|
| 207 |
"learning_rate": 7.692307692307694e-06,
|
| 208 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 209 |
"step": 250
|
| 210 |
},
|
| 211 |
{
|
| 212 |
"epoch": 4.0,
|
| 213 |
-
"grad_norm": 0.
|
| 214 |
"learning_rate": 0.0,
|
| 215 |
-
"loss": 0.
|
| 216 |
"step": 260
|
| 217 |
},
|
| 218 |
{
|
| 219 |
"epoch": 4.0,
|
| 220 |
"step": 260,
|
| 221 |
"total_flos": 3.205097416476426e+17,
|
| 222 |
-
"train_loss": 0.
|
| 223 |
-
"train_runtime":
|
| 224 |
-
"train_samples_per_second":
|
| 225 |
-
"train_steps_per_second":
|
| 226 |
}
|
| 227 |
],
|
| 228 |
"logging_steps": 10,
|
| 229 |
"max_steps": 260,
|
| 230 |
"num_input_tokens_seen": 0,
|
| 231 |
"num_train_epochs": 4,
|
| 232 |
-
"save_steps":
|
| 233 |
"stateful_callbacks": {
|
| 234 |
"TrainerControl": {
|
| 235 |
"args": {
|
|
|
|
| 1 |
{
|
| 2 |
"best_global_step": 200,
|
| 3 |
+
"best_metric": 0.9924812030075187,
|
| 4 |
"best_model_checkpoint": "./vit-base-beans-model-finetuned/checkpoint-200",
|
| 5 |
"epoch": 4.0,
|
| 6 |
+
"eval_steps": 50,
|
| 7 |
"global_step": 260,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
|
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.15384615384615385,
|
| 14 |
+
"grad_norm": 0.046927113085985184,
|
| 15 |
"learning_rate": 0.00019230769230769233,
|
| 16 |
+
"loss": 0.0203,
|
| 17 |
"step": 10
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 0.3076923076923077,
|
| 21 |
+
"grad_norm": 9.78127670288086,
|
| 22 |
"learning_rate": 0.00018461538461538463,
|
| 23 |
+
"loss": 0.0936,
|
| 24 |
"step": 20
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 0.46153846153846156,
|
| 28 |
+
"grad_norm": 0.15273386240005493,
|
| 29 |
"learning_rate": 0.00017692307692307693,
|
| 30 |
+
"loss": 0.1531,
|
| 31 |
"step": 30
|
| 32 |
},
|
| 33 |
{
|
| 34 |
"epoch": 0.6153846153846154,
|
| 35 |
+
"grad_norm": 0.059062909334897995,
|
| 36 |
"learning_rate": 0.00016923076923076923,
|
| 37 |
+
"loss": 0.0808,
|
| 38 |
"step": 40
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.7692307692307693,
|
| 42 |
+
"grad_norm": 0.04636870697140694,
|
| 43 |
"learning_rate": 0.00016153846153846155,
|
| 44 |
+
"loss": 0.0492,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.7692307692307693,
|
| 49 |
+
"eval_accuracy": 0.9774436090225563,
|
| 50 |
+
"eval_f1": 0.9774379108058134,
|
| 51 |
+
"eval_loss": 0.1117313951253891,
|
| 52 |
+
"eval_precision": 0.9775956574956096,
|
| 53 |
+
"eval_recall": 0.9774436090225563,
|
| 54 |
+
"eval_runtime": 1.2431,
|
| 55 |
+
"eval_samples_per_second": 106.99,
|
| 56 |
+
"eval_steps_per_second": 13.675,
|
| 57 |
"step": 50
|
| 58 |
},
|
| 59 |
{
|
| 60 |
"epoch": 0.9230769230769231,
|
| 61 |
+
"grad_norm": 0.03537413850426674,
|
| 62 |
"learning_rate": 0.00015384615384615385,
|
| 63 |
+
"loss": 0.1339,
|
| 64 |
"step": 60
|
| 65 |
},
|
| 66 |
{
|
| 67 |
"epoch": 1.0769230769230769,
|
| 68 |
+
"grad_norm": 8.806337356567383,
|
| 69 |
"learning_rate": 0.00014615384615384615,
|
| 70 |
+
"loss": 0.0454,
|
| 71 |
"step": 70
|
| 72 |
},
|
| 73 |
{
|
| 74 |
"epoch": 1.2307692307692308,
|
| 75 |
+
"grad_norm": 10.037283897399902,
|
| 76 |
"learning_rate": 0.00013846153846153847,
|
| 77 |
+
"loss": 0.0988,
|
| 78 |
"step": 80
|
| 79 |
},
|
| 80 |
{
|
| 81 |
"epoch": 1.3846153846153846,
|
| 82 |
+
"grad_norm": 0.030385395511984825,
|
| 83 |
"learning_rate": 0.00013076923076923077,
|
| 84 |
+
"loss": 0.0539,
|
| 85 |
"step": 90
|
| 86 |
},
|
| 87 |
{
|
| 88 |
"epoch": 1.5384615384615383,
|
| 89 |
+
"grad_norm": 0.03275859355926514,
|
| 90 |
"learning_rate": 0.0001230769230769231,
|
| 91 |
+
"loss": 0.0432,
|
| 92 |
"step": 100
|
| 93 |
},
|
| 94 |
{
|
| 95 |
"epoch": 1.5384615384615383,
|
| 96 |
+
"eval_accuracy": 0.9624060150375939,
|
| 97 |
+
"eval_f1": 0.9619558041418667,
|
| 98 |
+
"eval_loss": 0.14281876385211945,
|
| 99 |
+
"eval_precision": 0.9650282168005047,
|
| 100 |
+
"eval_recall": 0.9624060150375939,
|
| 101 |
+
"eval_runtime": 1.6279,
|
| 102 |
+
"eval_samples_per_second": 81.699,
|
| 103 |
+
"eval_steps_per_second": 10.443,
|
| 104 |
"step": 100
|
| 105 |
},
|
| 106 |
{
|
| 107 |
"epoch": 1.6923076923076923,
|
| 108 |
+
"grad_norm": 0.030820081010460854,
|
| 109 |
"learning_rate": 0.00011538461538461538,
|
| 110 |
+
"loss": 0.0186,
|
| 111 |
"step": 110
|
| 112 |
},
|
| 113 |
{
|
| 114 |
"epoch": 1.8461538461538463,
|
| 115 |
+
"grad_norm": 0.027867253869771957,
|
| 116 |
"learning_rate": 0.0001076923076923077,
|
| 117 |
+
"loss": 0.0827,
|
| 118 |
"step": 120
|
| 119 |
},
|
| 120 |
{
|
| 121 |
"epoch": 2.0,
|
| 122 |
+
"grad_norm": 0.03597959503531456,
|
| 123 |
"learning_rate": 0.0001,
|
| 124 |
+
"loss": 0.0319,
|
| 125 |
"step": 130
|
| 126 |
},
|
| 127 |
{
|
| 128 |
"epoch": 2.1538461538461537,
|
| 129 |
+
"grad_norm": 0.12349524348974228,
|
| 130 |
"learning_rate": 9.230769230769232e-05,
|
| 131 |
+
"loss": 0.0368,
|
| 132 |
"step": 140
|
| 133 |
},
|
| 134 |
{
|
| 135 |
"epoch": 2.3076923076923075,
|
| 136 |
+
"grad_norm": 0.3923969566822052,
|
| 137 |
"learning_rate": 8.461538461538461e-05,
|
| 138 |
+
"loss": 0.0119,
|
| 139 |
+
"step": 150
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"epoch": 2.3076923076923075,
|
| 143 |
+
"eval_accuracy": 0.9849624060150376,
|
| 144 |
+
"eval_f1": 0.9849605066094567,
|
| 145 |
+
"eval_loss": 0.07355950772762299,
|
| 146 |
+
"eval_precision": 0.9851258581235698,
|
| 147 |
+
"eval_recall": 0.9849624060150376,
|
| 148 |
+
"eval_runtime": 1.2553,
|
| 149 |
+
"eval_samples_per_second": 105.955,
|
| 150 |
+
"eval_steps_per_second": 13.543,
|
| 151 |
"step": 150
|
| 152 |
},
|
| 153 |
{
|
| 154 |
"epoch": 2.4615384615384617,
|
| 155 |
+
"grad_norm": 5.8568878173828125,
|
| 156 |
"learning_rate": 7.692307692307693e-05,
|
| 157 |
+
"loss": 0.0635,
|
| 158 |
"step": 160
|
| 159 |
},
|
| 160 |
{
|
| 161 |
"epoch": 2.6153846153846154,
|
| 162 |
+
"grad_norm": 0.03230699151754379,
|
| 163 |
"learning_rate": 6.923076923076924e-05,
|
| 164 |
+
"loss": 0.0067,
|
| 165 |
"step": 170
|
| 166 |
},
|
| 167 |
{
|
| 168 |
"epoch": 2.769230769230769,
|
| 169 |
+
"grad_norm": 0.02458355203270912,
|
| 170 |
"learning_rate": 6.153846153846155e-05,
|
| 171 |
+
"loss": 0.0102,
|
| 172 |
"step": 180
|
| 173 |
},
|
| 174 |
{
|
| 175 |
"epoch": 2.9230769230769234,
|
| 176 |
+
"grad_norm": 0.017980379983782768,
|
| 177 |
"learning_rate": 5.384615384615385e-05,
|
| 178 |
+
"loss": 0.0055,
|
| 179 |
"step": 190
|
| 180 |
},
|
| 181 |
{
|
| 182 |
"epoch": 3.076923076923077,
|
| 183 |
+
"grad_norm": 0.017595401033759117,
|
| 184 |
"learning_rate": 4.615384615384616e-05,
|
| 185 |
+
"loss": 0.0038,
|
| 186 |
"step": 200
|
| 187 |
},
|
| 188 |
{
|
| 189 |
"epoch": 3.076923076923077,
|
| 190 |
+
"eval_accuracy": 0.9924812030075187,
|
| 191 |
+
"eval_f1": 0.9924802319630927,
|
| 192 |
+
"eval_loss": 0.04042869806289673,
|
| 193 |
+
"eval_precision": 0.9926482873851294,
|
| 194 |
+
"eval_recall": 0.9924812030075187,
|
| 195 |
+
"eval_runtime": 1.2785,
|
| 196 |
+
"eval_samples_per_second": 104.031,
|
| 197 |
+
"eval_steps_per_second": 13.297,
|
| 198 |
"step": 200
|
| 199 |
},
|
| 200 |
{
|
| 201 |
"epoch": 3.230769230769231,
|
| 202 |
+
"grad_norm": 0.016184426844120026,
|
| 203 |
"learning_rate": 3.846153846153846e-05,
|
| 204 |
+
"loss": 0.0036,
|
| 205 |
"step": 210
|
| 206 |
},
|
| 207 |
{
|
| 208 |
"epoch": 3.3846153846153846,
|
| 209 |
+
"grad_norm": 0.016925645992159843,
|
| 210 |
"learning_rate": 3.0769230769230774e-05,
|
| 211 |
+
"loss": 0.0037,
|
| 212 |
"step": 220
|
| 213 |
},
|
| 214 |
{
|
| 215 |
"epoch": 3.5384615384615383,
|
| 216 |
+
"grad_norm": 0.018014749512076378,
|
| 217 |
"learning_rate": 2.307692307692308e-05,
|
| 218 |
+
"loss": 0.003,
|
| 219 |
"step": 230
|
| 220 |
},
|
| 221 |
{
|
| 222 |
"epoch": 3.6923076923076925,
|
| 223 |
+
"grad_norm": 0.016459761187434196,
|
| 224 |
"learning_rate": 1.5384615384615387e-05,
|
| 225 |
+
"loss": 0.003,
|
| 226 |
"step": 240
|
| 227 |
},
|
| 228 |
{
|
| 229 |
"epoch": 3.8461538461538463,
|
| 230 |
+
"grad_norm": 0.015728654339909554,
|
| 231 |
"learning_rate": 7.692307692307694e-06,
|
| 232 |
+
"loss": 0.0046,
|
| 233 |
+
"step": 250
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 3.8461538461538463,
|
| 237 |
+
"eval_accuracy": 0.9849624060150376,
|
| 238 |
+
"eval_f1": 0.9850440384831379,
|
| 239 |
+
"eval_loss": 0.04719630256295204,
|
| 240 |
+
"eval_precision": 0.9856162144491664,
|
| 241 |
+
"eval_recall": 0.9849624060150376,
|
| 242 |
+
"eval_runtime": 1.2361,
|
| 243 |
+
"eval_samples_per_second": 107.601,
|
| 244 |
+
"eval_steps_per_second": 13.753,
|
| 245 |
"step": 250
|
| 246 |
},
|
| 247 |
{
|
| 248 |
"epoch": 4.0,
|
| 249 |
+
"grad_norm": 0.015585985034704208,
|
| 250 |
"learning_rate": 0.0,
|
| 251 |
+
"loss": 0.0029,
|
| 252 |
"step": 260
|
| 253 |
},
|
| 254 |
{
|
| 255 |
"epoch": 4.0,
|
| 256 |
"step": 260,
|
| 257 |
"total_flos": 3.205097416476426e+17,
|
| 258 |
+
"train_loss": 0.04095530418249277,
|
| 259 |
+
"train_runtime": 294.0083,
|
| 260 |
+
"train_samples_per_second": 14.068,
|
| 261 |
+
"train_steps_per_second": 0.884
|
| 262 |
}
|
| 263 |
],
|
| 264 |
"logging_steps": 10,
|
| 265 |
"max_steps": 260,
|
| 266 |
"num_input_tokens_seen": 0,
|
| 267 |
"num_train_epochs": 4,
|
| 268 |
+
"save_steps": 50,
|
| 269 |
"stateful_callbacks": {
|
| 270 |
"TrainerControl": {
|
| 271 |
"args": {
|