End of training

README.md

@@ -17,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 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.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.3204
-- eval_accuracy: 0.7758
-- eval_runtime: 155.6061
-- eval_samples_per_second: 97.361
-- eval_steps_per_second: 6.086
-- epoch: 10.56
-- step: 10000
+- eval_loss: 1.1283
+- eval_accuracy: 0.7832
+- eval_runtime: 153.8564
+- eval_samples_per_second: 98.468
+- eval_steps_per_second: 6.155
+- epoch: 11.62
+- step: 11000
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:940b97d37a43ff1b0ab70f1b55193d1f794920824e7c9e04ea4ec3f7454c0462
 size 343528508

runs/Feb05_03-08-58_983d148b451b/events.out.tfevents.1707102539.983d148b451b.26.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c44ba535572bf25f3919b8ba014266e14772609a614593322e1e00c412965a8b
-size 14101
+oid sha256:b8e6f5207bc35a00cff7abf7f9df9f8f5c1dceaec7dd3ab5741ddaba6acda3ba
+size 14581

trainer_state.json

@@ -1,9 +1,9 @@
 {
-  "best_metric": 0.7576897689768977,
-  "best_model_checkpoint": "food-image-classification/checkpoint-9000",
-  "epoch": 10.559662090813093,
+  "best_metric": 0.7758415841584159,
+  "best_model_checkpoint": "food-image-classification/checkpoint-10000",
+  "epoch": 11.615628299894404,
   "eval_steps": 1000,
-  "global_step": 10000,
+  "global_step": 11000,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -157,6 +157,21 @@
       "eval_samples_per_second": 97.361,
       "eval_steps_per_second": 6.086,
       "step": 10000
+    },
+    {
+      "epoch": 11.62,
+      "learning_rate": 1.1615628299894405e-05,
+      "loss": 1.1223,
+      "step": 11000
+    },
+    {
+      "epoch": 11.62,
+      "eval_accuracy": 0.7831683168316832,
+      "eval_loss": 1.1283260583877563,
+      "eval_runtime": 153.8564,
+      "eval_samples_per_second": 98.468,
+      "eval_steps_per_second": 6.155,
+      "step": 11000
     }
   ],
   "logging_steps": 1000,
@@ -164,7 +179,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 500,
   "save_steps": 1000,
-  "total_flos": 4.963267430656819e+19,
+  "total_flos": 5.459594173722501e+19,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null