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: 0.4173
-- eval_accuracy: 0.8976
-- eval_runtime: 154.5817
-- eval_samples_per_second: 98.006
-- eval_steps_per_second: 6.126
-- epoch: 45.41
-- step: 43000
+- eval_loss: 0.4206
+- eval_accuracy: 0.8940
+- eval_runtime: 156.2155
+- eval_samples_per_second: 96.981
+- eval_steps_per_second: 6.062
+- epoch: 46.46
+- step: 44000
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:e000a0f05b18fcec85191d1563a2e5221e2e57d35ab7be4be32a4b5a8e39d767
 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:fcf09a474b078470b544bd5012f2ebedacb1609b50c88775d3e9e0e31cae7000
-size 17716
+oid sha256:e82fa2bf6b1cf111b29e5fcfc8d322df502109190dd76254af7c68d359ddddb3
+size 18205

trainer_state.json

@@ -1,9 +1,9 @@
 {
   "best_metric": 0.9115511551155115,
   "best_model_checkpoint": "food-image-classification/checkpoint-35000",
-  "epoch": 45.4065469904963,
+  "epoch": 46.462513199577614,
   "eval_steps": 1000,
-  "global_step": 43000,
+  "global_step": 44000,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -652,6 +652,21 @@
       "eval_samples_per_second": 98.006,
       "eval_steps_per_second": 6.126,
       "step": 43000
+    },
+    {
+      "epoch": 46.46,
+      "learning_rate": 1.900739176346357e-05,
+      "loss": 0.2406,
+      "step": 44000
+    },
+    {
+      "epoch": 46.46,
+      "eval_accuracy": 0.893993399339934,
+      "eval_loss": 0.4206344783306122,
+      "eval_runtime": 156.2155,
+      "eval_samples_per_second": 96.981,
+      "eval_steps_per_second": 6.062,
+      "step": 44000
     }
   ],
   "logging_steps": 1000,
@@ -659,7 +674,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 500,
   "save_steps": 1000,
-  "total_flos": 2.134192585462642e+20,
+  "total_flos": 2.1838252597692105e+20,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null