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: 0.3641
-- eval_accuracy: 0.9074
-- eval_runtime: 156.8691
-- eval_samples_per_second: 96.577
-- eval_steps_per_second: 6.037
-- epoch: 35.9
-- step: 34000
+- eval_loss: 0.3488
+- eval_accuracy: 0.9116
+- eval_runtime: 156.4541
+- eval_samples_per_second: 96.834
+- eval_steps_per_second: 6.053
+- epoch: 36.96
+- step: 35000
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:ac30c79c41e1c1abc34dec1ce4826952962e8f6698c7d35859cb94d2d4d54e5f
+oid sha256:0c951d0b59eec32774555025b62e83aa6a4229bcc65e9db5bee420f322c59e1c
 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:a1f5b7b6597b811f6656d79a661f56a1e1da33f5238b2535383a42ecd31a524c
-size 13315
+oid sha256:154aec5476517b77cb389ff612637c9a75c60856318ddae8d49ff88db8d2b435
+size 13804

trainer_state.json

@@ -1,9 +1,9 @@
 {
   "best_metric": 0.9113531353135313,
   "best_model_checkpoint": "food-image-classification/checkpoint-28000",
-  "epoch": 35.90285110876452,
+  "epoch": 36.95881731784583,
   "eval_steps": 1000,
-  "global_step": 34000,
+  "global_step": 35000,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -517,6 +517,21 @@
       "eval_samples_per_second": 96.577,
       "eval_steps_per_second": 6.037,
       "step": 34000
+    },
+    {
+      "epoch": 36.96,
+      "learning_rate": 9.503695881731786e-06,
+      "loss": 0.289,
+      "step": 35000
+    },
+    {
+      "epoch": 36.96,
+      "eval_accuracy": 0.9115511551155115,
+      "eval_loss": 0.34877872467041016,
+      "eval_runtime": 156.4541,
+      "eval_samples_per_second": 96.834,
+      "eval_steps_per_second": 6.053,
+      "step": 35000
     }
   ],
   "logging_steps": 1000,
@@ -524,7 +539,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 500,
   "save_steps": 1000,
-  "total_flos": 1.6875047215634232e+20,
+  "total_flos": 1.7371373958699916e+20,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null