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: 0.3558
-- eval_accuracy: 0.9109
-- eval_runtime: 155.255
-- eval_samples_per_second: 97.581
-- eval_steps_per_second: 6.1
-- epoch: 33.79
-- step: 32000
+- eval_loss: 0.3623
+- eval_accuracy: 0.9067
+- eval_runtime: 155.6758
+- eval_samples_per_second: 97.318
+- eval_steps_per_second: 6.083
+- epoch: 34.85
+- step: 33000
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:2363016a1361f2c999852e918a415cf33ecbfcc46a9ec24145333c05eca341c6
+oid sha256:d59b8200558335c17a136c6cad8e0dc2974a85af507fe662a45b2b00d166fe6f
 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 sha256:5ab0af5591e1785017879a9ecc581490454f295c99aba4ac55ab1496e890c14f
-size 12337
+oid sha256:cd8a4fc55f00d4f84b940c8b970188149bc4a4f5e2f41c597d7aadc7e5940189
+size 12826

trainer_state.json

@@ -1,9 +1,9 @@
 {
   "best_metric": 0.9113531353135313,
   "best_model_checkpoint": "food-image-classification/checkpoint-28000",
-  "epoch": 33.7909186906019,
+  "epoch": 34.84688489968321,
   "eval_steps": 1000,
-  "global_step": 32000,
+  "global_step": 33000,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -487,6 +487,21 @@
       "eval_samples_per_second": 97.581,
       "eval_steps_per_second": 6.1,
       "step": 32000
+    },
+    {
+      "epoch": 34.85,
+      "learning_rate": 7.3917634635691666e-06,
+      "loss": 0.3064,
+      "step": 33000
+    },
+    {
+      "epoch": 34.85,
+      "eval_accuracy": 0.9067326732673268,
+      "eval_loss": 0.3623407185077667,
+      "eval_runtime": 155.6758,
+      "eval_samples_per_second": 97.318,
+      "eval_steps_per_second": 6.083,
+      "step": 33000
     }
   ],
   "logging_steps": 1000,
@@ -494,7 +509,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 500,
   "save_steps": 1000,
-  "total_flos": 1.5882393729502865e+20,
+  "total_flos": 1.637872047256855e+20,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null