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: 0.3782
-- eval_accuracy: 0.9038
-- eval_runtime: 156.2669
-- eval_samples_per_second: 96.95
-- eval_steps_per_second: 6.06
-- epoch: 42.24
-- step: 40000
+- eval_loss: 0.3977
+- eval_accuracy: 0.9011
+- eval_runtime: 155.7863
+- eval_samples_per_second: 97.249
+- eval_steps_per_second: 6.079
+- epoch: 43.29
+- step: 41000
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:ad4bba65ded655a70ab605422f2e7b119b3513906fc4378b67df6d9053e2a582
+oid sha256:936ff4ba77db213e42e7d4a6fd31a9bd247c53544aa1bb748716e59e63d2e0fd
 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 sha256:4c32bbdd3d51317823f31eed0b1a445cd71ed2d8342fd7ac27201f55c6643d66
-size 16249
+oid sha256:820e67c4db3204ff5ae0466943e6db6c335f3369a0fa30514fffb6ce95775fc4
+size 16738

trainer_state.json

@@ -1,9 +1,9 @@
 {
   "best_metric": 0.9115511551155115,
   "best_model_checkpoint": "food-image-classification/checkpoint-35000",
-  "epoch": 42.23864836325237,
+  "epoch": 43.294614572333685,
   "eval_steps": 1000,
-  "global_step": 40000,
+  "global_step": 41000,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -607,6 +607,21 @@
       "eval_samples_per_second": 96.95,
       "eval_steps_per_second": 6.06,
       "step": 40000
+    },
+    {
+      "epoch": 43.29,
+      "learning_rate": 1.583949313621964e-05,
+      "loss": 0.2516,
+      "step": 41000
+    },
+    {
+      "epoch": 43.29,
+      "eval_accuracy": 0.9011221122112211,
+      "eval_loss": 0.39773184061050415,
+      "eval_runtime": 155.7863,
+      "eval_samples_per_second": 97.249,
+      "eval_steps_per_second": 6.079,
+      "step": 41000
     }
   ],
   "logging_steps": 1000,
@@ -614,7 +629,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 500,
   "save_steps": 1000,
-  "total_flos": 1.985294562542937e+20,
+  "total_flos": 2.0349272368495054e+20,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null