🍻 cheers

README.md

@@ -3,12 +3,28 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-classification
 - generated_from_trainer
 datasets:
 - imagefolder
+metrics:
+- accuracy
 model-index:
 - name: run_name
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: indian_food_images
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.2
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,7 +32,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # run_name
 
-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 imagefolder dataset.
+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 indian_food_images dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8473
+- Accuracy: 0.2
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.2,
+    "eval_loss": 1.847313642501831,
+    "eval_runtime": 9.2237,
+    "eval_samples_per_second": 0.542,
+    "eval_steps_per_second": 0.108,
+    "total_flos": 5812107581952000.0,
+    "train_loss": 1.651039759318034,
+    "train_runtime": 188.4907,
+    "train_samples_per_second": 0.398,
+    "train_steps_per_second": 0.064
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.2,
+    "eval_loss": 1.847313642501831,
+    "eval_runtime": 9.2237,
+    "eval_samples_per_second": 0.542,
+    "eval_steps_per_second": 0.108
+}

runs/Jan02_11-14-03_fb4f47128231/events.out.tfevents.1735816934.fb4f47128231.572.5

@@ -0,0 +1,3 @@
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+oid sha256:3755b74a4593cbcba2319c5f6d8daac52eb35c1212c3b4d749cf23f84123fedf
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "total_flos": 5812107581952000.0,
+    "train_loss": 1.651039759318034,
+    "train_runtime": 188.4907,
+    "train_samples_per_second": 0.398,
+    "train_steps_per_second": 0.064
+}

trainer_state.json

@@ -0,0 +1,49 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "eval_steps": 100,
+  "global_step": 12,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 2.5,
+      "grad_norm": 2.4797427654266357,
+      "learning_rate": 8.333333333333334e-06,
+      "loss": 1.6763,
+      "step": 10
+    },
+    {
+      "epoch": 3.0,
+      "step": 12,
+      "total_flos": 5812107581952000.0,
+      "train_loss": 1.651039759318034,
+      "train_runtime": 188.4907,
+      "train_samples_per_second": 0.398,
+      "train_steps_per_second": 0.064
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 12,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 100,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 5812107581952000.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}