End of training

README.md

@@ -1,6 +1,4 @@
 ---
-license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
 tags:
 - generated_from_trainer
 datasets:
@@ -15,15 +13,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 # food-image-classification
 
-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 food101 dataset.
+This model was trained from scratch on the food101 dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.7609
-- eval_accuracy: 0.8149
-- eval_runtime: 155.6779
-- eval_samples_per_second: 97.316
-- eval_steps_per_second: 6.083
-- epoch: 27.46
-- step: 26000
+- eval_loss: 0.3659
+- eval_accuracy: 0.9097
+- eval_runtime: 156.004
+- eval_samples_per_second: 97.113
+- eval_steps_per_second: 6.07
+- epoch: 28.51
+- step: 27000
 
 ## Model description
 

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "_name_or_path": "/kaggle/working/food-image-classification",
   "architectures": [
     "ViTForImageClassification"
   ],

model.safetensors

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runs/Feb06_02-52-53_2bd6d982b8e8/events.out.tfevents.1707187974.2bd6d982b8e8.26.0

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trainer_state.json

@@ -1,9 +1,9 @@
 {
   "best_metric": 0.8201980198019801,
   "best_model_checkpoint": "food-image-classification/checkpoint-22000",
-  "epoch": 27.455121436114045,
+  "epoch": 28.511087645195353,
   "eval_steps": 1000,
-  "global_step": 26000,
+  "global_step": 27000,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -397,6 +397,21 @@
       "eval_samples_per_second": 97.316,
       "eval_steps_per_second": 6.083,
       "step": 26000
+    },
+    {
+      "epoch": 28.51,
+      "learning_rate": 1.0559662090813095e-06,
+      "loss": 0.3793,
+      "step": 27000
+    },
+    {
+      "epoch": 28.51,
+      "eval_accuracy": 0.9097029702970297,
+      "eval_loss": 0.3658629059791565,
+      "eval_runtime": 156.004,
+      "eval_samples_per_second": 97.113,
+      "eval_steps_per_second": 6.07,
+      "step": 27000
     }
   ],
   "logging_steps": 1000,
@@ -404,7 +419,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 500,
   "save_steps": 1000,
-  "total_flos": 1.2904433271108772e+20,
+  "total_flos": 1.3400760014174454e+20,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null

training_args.bin

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