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: 0.7739
-- eval_accuracy: 0.8105
-- eval_runtime: 155.4026
-- eval_samples_per_second: 97.489
-- eval_steps_per_second: 6.094
-- epoch: 17.95
-- step: 17000
+- eval_loss: 0.7518
+- eval_accuracy: 0.8152
+- eval_runtime: 153.2443
+- eval_samples_per_second: 98.862
+- eval_steps_per_second: 6.18
+- epoch: 19.01
+- step: 18000
 
 ## 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 sha256:172ab9543b209b7cd22070096df4fcbf55d70c33e4079593e3d0b6e069547365
-size 17470
+oid sha256:fc9304e21c3c2f1e31882a2e82185835820969fdeb90c4999dc1436d1cf932b8
+size 17959

trainer_state.json

@@ -1,9 +1,9 @@
 {
   "best_metric": 0.8158415841584158,
   "best_model_checkpoint": "food-image-classification/checkpoint-16000",
-  "epoch": 17.95142555438226,
+  "epoch": 19.00739176346357,
   "eval_steps": 1000,
-  "global_step": 17000,
+  "global_step": 18000,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -262,6 +262,21 @@
       "eval_samples_per_second": 97.489,
       "eval_steps_per_second": 6.094,
       "step": 17000
+    },
+    {
+      "epoch": 19.01,
+      "learning_rate": 1.900739176346357e-05,
+      "loss": 0.4951,
+      "step": 18000
+    },
+    {
+      "epoch": 19.01,
+      "eval_accuracy": 0.8151815181518152,
+      "eval_loss": 0.7517885565757751,
+      "eval_runtime": 153.2443,
+      "eval_samples_per_second": 98.862,
+      "eval_steps_per_second": 6.18,
+      "step": 18000
     }
   ],
   "logging_steps": 1000,
@@ -269,7 +284,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 500,
   "save_steps": 1000,
-  "total_flos": 8.437554632116593e+19,
+  "total_flos": 8.933819326583316e+19,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null