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: 4.0309
-- eval_accuracy: 0.5498
-- eval_runtime: 155.2257
-- eval_samples_per_second: 97.6
-- eval_steps_per_second: 6.101
-- epoch: 3.17
-- step: 3000
+- eval_loss: 3.6342
+- eval_accuracy: 0.6112
+- eval_runtime: 156.2293
+- eval_samples_per_second: 96.973
+- eval_steps_per_second: 6.062
+- epoch: 4.22
+- step: 4000
 
 ## 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
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-size 10741
+oid sha256:9bad0bdc4c25c75c7a63f8ccf285a91b4e697e6615fec6b0cbdfeb86d6c9e4fb
+size 11221

trainer_state.json

@@ -1,9 +1,9 @@
 {
-  "best_metric": 0.3103630363036304,
-  "best_model_checkpoint": "food-image-classification/checkpoint-2000",
-  "epoch": 3.167898627243928,
+  "best_metric": 0.5498349834983498,
+  "best_model_checkpoint": "food-image-classification/checkpoint-3000",
+  "epoch": 4.223864836325237,
   "eval_steps": 1000,
-  "global_step": 3000,
+  "global_step": 4000,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -52,6 +52,21 @@
       "eval_samples_per_second": 97.6,
       "eval_steps_per_second": 6.101,
       "step": 3000
+    },
+    {
+      "epoch": 4.22,
+      "learning_rate": 4.223864836325238e-06,
+      "loss": 3.8257,
+      "step": 4000
+    },
+    {
+      "epoch": 4.22,
+      "eval_accuracy": 0.6111551155115511,
+      "eval_loss": 3.634243965148926,
+      "eval_runtime": 156.2293,
+      "eval_samples_per_second": 96.973,
+      "eval_steps_per_second": 6.062,
+      "step": 4000
     }
   ],
   "logging_steps": 1000,
@@ -59,7 +74,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 500,
   "save_steps": 1000,
-  "total_flos": 1.4889802291970458e+19,
+  "total_flos": 1.9853069722627277e+19,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null