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: 0.8160
-- eval_runtime: 154.8193
-- eval_samples_per_second: 97.856
-- eval_steps_per_second: 6.117
-- epoch: 25.34
-- step: 24000
+- eval_loss: 0.7651
+- eval_accuracy: 0.8156
+- eval_runtime: 154.1129
+- eval_samples_per_second: 98.305
+- eval_steps_per_second: 6.145
+- epoch: 26.4
+- step: 25000
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
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 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:a40a78d436c99350177ecd5e4e0d4d09ae65322b292a9cd0dd9f611ae79a5da7
-size 20893
+oid sha256:3d08cb3b0549f26d042533282b0adaec04901eddacd691dc2a26a4ad234f3355
+size 21382

trainer_state.json

@@ -1,9 +1,9 @@
 {
   "best_metric": 0.8201980198019801,
   "best_model_checkpoint": "food-image-classification/checkpoint-22000",
-  "epoch": 25.343189017951424,
+  "epoch": 26.399155227032736,
   "eval_steps": 1000,
-  "global_step": 24000,
+  "global_step": 25000,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -367,6 +367,21 @@
       "eval_samples_per_second": 97.856,
       "eval_steps_per_second": 6.117,
       "step": 24000
+    },
+    {
+      "epoch": 26.4,
+      "learning_rate": 2.6399155227032734e-05,
+      "loss": 0.3438,
+      "step": 25000
+    },
+    {
+      "epoch": 26.4,
+      "eval_accuracy": 0.8155775577557756,
+      "eval_loss": 0.7651433944702148,
+      "eval_runtime": 154.1129,
+      "eval_samples_per_second": 98.305,
+      "eval_steps_per_second": 6.145,
+      "step": 25000
     }
   ],
   "logging_steps": 1000,
@@ -374,7 +389,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 500,
   "save_steps": 1000,
-  "total_flos": 1.1911779784977408e+20,
+  "total_flos": 1.240810652804309e+20,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null