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: 1.1283
-- 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
+- eval_loss: 0.9767
+- eval_accuracy: 0.7947
+- eval_runtime: 155.0819
+- eval_samples_per_second: 97.69
+- eval_steps_per_second: 6.106
+- epoch: 12.67
+- step: 12000
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:c0c30cd551dee8b88adf1abb5ea9088a9c56b772faeac0a11e9a6f54d0fbf35b
 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:b8e6f5207bc35a00cff7abf7f9df9f8f5c1dceaec7dd3ab5741ddaba6acda3ba
-size 14581
+oid sha256:f9c454d2313ba3956712f0130a2223945517cc8f21e0eb033697f07c35c2f430
+size 15061

trainer_state.json

@@ -1,9 +1,9 @@
 {
-  "best_metric": 0.7758415841584159,
-  "best_model_checkpoint": "food-image-classification/checkpoint-10000",
-  "epoch": 11.615628299894404,
+  "best_metric": 0.7831683168316832,
+  "best_model_checkpoint": "food-image-classification/checkpoint-11000",
+  "epoch": 12.671594508975712,
   "eval_steps": 1000,
-  "global_step": 11000,
+  "global_step": 12000,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -172,6 +172,21 @@
       "eval_samples_per_second": 98.468,
       "eval_steps_per_second": 6.155,
       "step": 11000
+    },
+    {
+      "epoch": 12.67,
+      "learning_rate": 1.2671594508975712e-05,
+      "loss": 0.9312,
+      "step": 12000
+    },
+    {
+      "epoch": 12.67,
+      "eval_accuracy": 0.7946534653465347,
+      "eval_loss": 0.9766868352890015,
+      "eval_runtime": 155.0819,
+      "eval_samples_per_second": 97.69,
+      "eval_steps_per_second": 6.106,
+      "step": 12000
     }
   ],
   "logging_steps": 1000,
@@ -179,7 +194,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 500,
   "save_steps": 1000,
-  "total_flos": 5.459594173722501e+19,
+  "total_flos": 5.955920916788183e+19,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null