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: 0.4606
-- eval_accuracy: 0.8832
-- eval_runtime: 156.293
-- eval_samples_per_second: 96.933
-- eval_steps_per_second: 6.059
-- epoch: 52.8
-- step: 50000
+- 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
 
 ## Model description
 

model.safetensors

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

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

@@ -1,3 +1,3 @@
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-size 21139
+oid sha256:e49d8186a9a5b7cdd2f5a5fc80aace801e27fbbd3aa7b794580b9ac3ffdfece7
+size 21628

trainer_state.json

@@ -1,9 +1,9 @@
 {
   "best_metric": 0.9115511551155115,
   "best_model_checkpoint": "food-image-classification/checkpoint-35000",
-  "epoch": 52.79831045406547,
+  "epoch": 53.85427666314678,
   "eval_steps": 1000,
-  "global_step": 50000,
+  "global_step": 51000,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -757,6 +757,21 @@
       "eval_samples_per_second": 96.933,
       "eval_steps_per_second": 6.059,
       "step": 50000
+    },
+    {
+      "epoch": 53.85,
+      "learning_rate": 2.6399155227032734e-05,
+      "loss": 0.2174,
+      "step": 51000
+    },
+    {
+      "epoch": 53.85,
+      "eval_accuracy": 0.8804620462046204,
+      "eval_loss": 0.4750025272369385,
+      "eval_runtime": 155.6344,
+      "eval_samples_per_second": 97.344,
+      "eval_steps_per_second": 6.085,
+      "step": 51000
     }
   ],
   "logging_steps": 1000,
@@ -764,7 +779,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 500,
   "save_steps": 1000,
-  "total_flos": 2.4816213056086206e+20,
+  "total_flos": 2.531253979915189e+20,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null