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: 0.4750
-- eval_accuracy: 0.8805
-- eval_runtime: 155.6344
-- eval_samples_per_second: 97.344
-- eval_steps_per_second: 6.085
-- epoch: 53.85
-- step: 51000
+- eval_loss: 0.4645
+- eval_accuracy: 0.8831
+- eval_runtime: 156.6057
+- eval_samples_per_second: 96.74
+- eval_steps_per_second: 6.047
+- epoch: 54.91
+- step: 52000
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:3f8614863907fd855c9a68363be9a5137138b24c5d0e895d7639375b16d6a6bb
 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:e49d8186a9a5b7cdd2f5a5fc80aace801e27fbbd3aa7b794580b9ac3ffdfece7
-size 21628
+oid sha256:860ab5fcd4edbfa73249c65e42696f79dfbc19e6121cc783d0e0717087ddf76c
+size 22117

trainer_state.json

@@ -1,9 +1,9 @@
 {
   "best_metric": 0.9115511551155115,
   "best_model_checkpoint": "food-image-classification/checkpoint-35000",
-  "epoch": 53.85427666314678,
+  "epoch": 54.91024287222809,
   "eval_steps": 1000,
-  "global_step": 51000,
+  "global_step": 52000,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -772,6 +772,21 @@
       "eval_samples_per_second": 97.344,
       "eval_steps_per_second": 6.085,
       "step": 51000
+    },
+    {
+      "epoch": 54.91,
+      "learning_rate": 2.7455121436114044e-05,
+      "loss": 0.2164,
+      "step": 52000
+    },
+    {
+      "epoch": 54.91,
+      "eval_accuracy": 0.8831023102310231,
+      "eval_loss": 0.4645076394081116,
+      "eval_runtime": 156.6057,
+      "eval_samples_per_second": 96.74,
+      "eval_steps_per_second": 6.047,
+      "step": 52000
     }
   ],
   "logging_steps": 1000,
@@ -779,7 +794,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 500,
   "save_steps": 1000,
-  "total_flos": 2.531253979915189e+20,
+  "total_flos": 2.5808866542217573e+20,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null