End of training

README.md

@@ -1,10 +1,6 @@
 ---
-license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: food-image-classification
   results: []
@@ -15,10 +11,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 # food-image-classification
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
+This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6353
-- Accuracy: 0.891
+- eval_loss: 1.6239
+- eval_accuracy: 0.889
+- eval_runtime: 15.4204
+- eval_samples_per_second: 64.849
+- eval_steps_per_second: 4.085
+- epoch: 0.16
+- step: 10
 
 ## Model description
 
@@ -46,16 +47,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.706         | 0.99  | 62   | 2.5318          | 0.832    |
-| 1.8596        | 2.0   | 125  | 1.8008          | 0.873    |
-| 1.6006        | 2.98  | 186  | 1.6353          | 0.891    |
-
+- num_epochs: 5
 
 ### Framework versions
 

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "_name_or_path": "/content/food-image-classification",
   "architectures": [
     "ViTForImageClassification"
   ],

model.safetensors

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trainer_state.json

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+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.16,
+  "eval_steps": 10,
+  "global_step": 10,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.6129032258064517e-05,
+      "loss": 1.5807,
+      "step": 10
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+    {
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+      "eval_accuracy": 0.889,
+      "eval_loss": 1.6238535642623901,
+      "eval_runtime": 15.4204,
+      "eval_samples_per_second": 64.849,
+      "eval_steps_per_second": 4.085,
+      "step": 10
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+  ],
+  "logging_steps": 10,
+  "max_steps": 310,
+  "num_train_epochs": 5,
+  "save_steps": 500,
+  "total_flos": 4.9638879166464e+16,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

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