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: 0.7959
-- eval_accuracy: 0.8075
-- eval_runtime: 153.9402
-- eval_samples_per_second: 98.415
-- eval_steps_per_second: 6.152
-- epoch: 15.84
-- step: 15000
+- eval_loss: 0.7548
+- eval_accuracy: 0.8158
+- eval_runtime: 155.6477
+- eval_samples_per_second: 97.335
+- eval_steps_per_second: 6.084
+- epoch: 16.9
+- step: 16000
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
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 size 343528508

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

@@ -1,3 +1,3 @@
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+oid sha256:447c9948567d5b79c911830fef13913b8d2b878d887717a25268f8f72050bfbb
+size 16981

trainer_state.json

@@ -1,9 +1,9 @@
 {
-  "best_metric": 0.8043564356435644,
-  "best_model_checkpoint": "food-image-classification/checkpoint-14000",
-  "epoch": 15.839493136219641,
+  "best_metric": 0.8075247524752476,
+  "best_model_checkpoint": "food-image-classification/checkpoint-15000",
+  "epoch": 16.89545934530095,
   "eval_steps": 1000,
-  "global_step": 15000,
+  "global_step": 16000,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -232,6 +232,21 @@
       "eval_samples_per_second": 98.415,
       "eval_steps_per_second": 6.152,
       "step": 15000
+    },
+    {
+      "epoch": 16.9,
+      "learning_rate": 1.6895459345300952e-05,
+      "loss": 0.5659,
+      "step": 16000
+    },
+    {
+      "epoch": 16.9,
+      "eval_accuracy": 0.8158415841584158,
+      "eval_loss": 0.7547946572303772,
+      "eval_runtime": 155.6477,
+      "eval_samples_per_second": 97.335,
+      "eval_steps_per_second": 6.084,
+      "step": 16000
     }
   ],
   "logging_steps": 1000,
@@ -239,7 +254,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 500,
   "save_steps": 1000,
-  "total_flos": 7.444901145985229e+19,
+  "total_flos": 7.94122788905091e+19,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null