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: 0.7466
-- 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
+- eval_loss: 0.7243
+- eval_accuracy: 0.8202
+- eval_runtime: 153.8982
+- eval_samples_per_second: 98.442
+- eval_steps_per_second: 6.153
+- epoch: 23.23
+- step: 22000
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:35b68041cb8fa24117e2b06be6edf32b5929742aa364eb03e29630ec1776af90
+oid sha256:a1dcec261e11534ea2e4e2de550fb5c3ba9a68d71402198f972c441f52648a96
 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:f633fe3da3080b0c9f782a702ca038559d29c19c190b413aba3191317112c924
-size 19426
+oid sha256:57a78def9c1f785eb4d7f6bbaa73ab47ee215105a841c610607e72b4365bb855
+size 19915

trainer_state.json

@@ -1,9 +1,9 @@
 {
  "best_metric": 0.8158415841584158,
  "best_model_checkpoint": "food-image-classification/checkpoint-16000",
- "epoch": 22.1752903907075,
+ "epoch": 23.231256599788807,
  "eval_steps": 1000,
- "global_step": 21000,
+ "global_step": 22000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
@@ -322,6 +322,21 @@
  "eval_samples_per_second": 97.497,
  "eval_steps_per_second": 6.094,
  "step": 21000
+ },
+ {
+ "epoch": 23.23,
+ "learning_rate": 2.323125659978881e-05,
+ "loss": 0.3926,
+ "step": 22000
+ },
+ {
+ "epoch": 23.23,
+ "eval_accuracy": 0.8201980198019801,
+ "eval_loss": 0.7243059873580933,
+ "eval_runtime": 153.8982,
+ "eval_samples_per_second": 98.442,
+ "eval_steps_per_second": 6.153,
+ "step": 22000
  }
  ],
  "logging_steps": 1000,
@@ -329,7 +344,7 @@
  "num_input_tokens_seen": 0,
  "num_train_epochs": 500,
  "save_steps": 1000,
- "total_flos": 1.0422799555780362e+20,
+ "total_flos": 1.0919126298846044e+20,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": null