End of training

README.md

@@ -15,13 +15,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the food101 dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.4507
-- eval_accuracy: 0.8863
-- eval_runtime: 156.5229
-- eval_samples_per_second: 96.791
-- eval_steps_per_second: 6.05
-- epoch: 49.63
-- step: 47000
+- eval_loss: 0.4482
+- eval_accuracy: 0.8876
+- eval_runtime: 155.8513
+- eval_samples_per_second: 97.208
+- eval_steps_per_second: 6.076
+- epoch: 50.69
+- step: 48000
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:7be8bb8be432db3d2a3bd7d7da89bf6b73abf37c93d179bc7035ea1e5f6e05f0
+oid sha256:4374a321cd293ea774254fa25ea760a058020efb6344c188a6998c3a37fcff42
 size 343528508

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e969b96e0695bf6ecc24fa702872446eec251f082129b1338ae5702758f9b44d
-size 19672
+oid sha256:150d9961573e1c0fa6611dfa44b33bf5d99d33a32880f1b9f140f0e9e1e961fe
+size 20161

trainer_state.json

@@ -1,9 +1,9 @@
 {
   "best_metric": 0.9115511551155115,
   "best_model_checkpoint": "food-image-classification/checkpoint-35000",
-  "epoch": 49.63041182682154,
+  "epoch": 50.68637803590285,
   "eval_steps": 1000,
-  "global_step": 47000,
+  "global_step": 48000,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -712,6 +712,21 @@
       "eval_samples_per_second": 96.791,
       "eval_steps_per_second": 6.05,
       "step": 47000
+    },
+    {
+      "epoch": 50.69,
+      "learning_rate": 2.323125659978881e-05,
+      "loss": 0.2247,
+      "step": 48000
+    },
+    {
+      "epoch": 50.69,
+      "eval_accuracy": 0.8875907590759076,
+      "eval_loss": 0.4481562674045563,
+      "eval_runtime": 155.8513,
+      "eval_samples_per_second": 97.208,
+      "eval_steps_per_second": 6.076,
+      "step": 48000
     }
   ],
   "logging_steps": 1000,
@@ -719,7 +734,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 500,
   "save_steps": 1000,
-  "total_flos": 2.3327232826889155e+20,
+  "total_flos": 2.382355956995484e+20,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null