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: 0.7594
-- eval_accuracy: 0.8104
-- eval_runtime: 155.7313
-- eval_samples_per_second: 97.283
-- eval_steps_per_second: 6.081
-- epoch: 24.29
-- step: 23000
+- 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
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7dc6f5a578f532ad87106d4cec6c0cdf748aa5b9c3cd35e88f7f8ad52cbb735f
+oid sha256:02e9b83bfe540be2a40e1ad337fc2e448fa90516adb14b782643f3ac29c29f45
 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 sha256:0ce6e73591fdb51be189a8d88f82f51132563b067d67c396fb99cde827572455
-size 20404
+oid sha256:a40a78d436c99350177ecd5e4e0d4d09ae65322b292a9cd0dd9f611ae79a5da7
+size 20893

trainer_state.json

@@ -1,9 +1,9 @@
 {
   "best_metric": 0.8201980198019801,
   "best_model_checkpoint": "food-image-classification/checkpoint-22000",
-  "epoch": 24.287222808870116,
+  "epoch": 25.343189017951424,
   "eval_steps": 1000,
-  "global_step": 23000,
+  "global_step": 24000,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -352,6 +352,21 @@
       "eval_samples_per_second": 97.283,
       "eval_steps_per_second": 6.081,
       "step": 23000
+    },
+    {
+      "epoch": 25.34,
+      "learning_rate": 2.5343189017951425e-05,
+      "loss": 0.3574,
+      "step": 24000
+    },
+    {
+      "epoch": 25.34,
+      "eval_accuracy": 0.815973597359736,
+      "eval_loss": 0.7465734481811523,
+      "eval_runtime": 154.8193,
+      "eval_samples_per_second": 97.856,
+      "eval_steps_per_second": 6.117,
+      "step": 24000
     }
   ],
   "logging_steps": 1000,
@@ -359,7 +374,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 500,
   "save_steps": 1000,
-  "total_flos": 1.1415453041911726e+20,
+  "total_flos": 1.1911779784977408e+20,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null