End of training

README.md

@@ -17,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the food101 dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.7404
-- eval_accuracy: 0.8152
-- eval_runtime: 154.5972
-- eval_samples_per_second: 97.997
-- eval_steps_per_second: 6.126
-- epoch: 21.12
-- step: 20000
+- eval_loss: 0.7466
+- eval_accuracy: 0.8113
+- eval_runtime: 155.3899
+- eval_samples_per_second: 97.497
+- eval_steps_per_second: 6.094
+- epoch: 22.18
+- step: 21000
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:35b68041cb8fa24117e2b06be6edf32b5929742aa364eb03e29630ec1776af90
 size 343528508

runs/Feb05_03-08-58_983d148b451b/events.out.tfevents.1707102539.983d148b451b.26.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dfacb9225cd14c04ef5253d595bf634a6cd8d60f4c7981d65da12f307177b3d3
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+oid sha256:f633fe3da3080b0c9f782a702ca038559d29c19c190b413aba3191317112c924
+size 19426

trainer_state.json

@@ -1,9 +1,9 @@
 {
   "best_metric": 0.8158415841584158,
   "best_model_checkpoint": "food-image-classification/checkpoint-16000",
-  "epoch": 21.119324181626187,
+  "epoch": 22.1752903907075,
   "eval_steps": 1000,
-  "global_step": 20000,
+  "global_step": 21000,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -307,6 +307,21 @@
       "eval_samples_per_second": 97.997,
       "eval_steps_per_second": 6.126,
       "step": 20000
+    },
+    {
+      "epoch": 22.18,
+      "learning_rate": 2.21752903907075e-05,
+      "loss": 0.4148,
+      "step": 21000
+    },
+    {
+      "epoch": 22.18,
+      "eval_accuracy": 0.8112871287128713,
+      "eval_loss": 0.7465632557868958,
+      "eval_runtime": 155.3899,
+      "eval_samples_per_second": 97.497,
+      "eval_steps_per_second": 6.094,
+      "step": 21000
     }
   ],
   "logging_steps": 1000,
@@ -314,7 +329,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 500,
   "save_steps": 1000,
-  "total_flos": 9.92647281271468e+19,
+  "total_flos": 1.0422799555780362e+20,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null