End of training

README.md

@@ -2,12 +2,29 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-classification
+- vision
 - generated_from_trainer
 datasets:
 - imagefolder
+metrics:
+- accuracy
 model-index:
 - name: outputs
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
 # outputs
 
 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.
+It achieves the following results on the evaluation set:
+- Loss: 0.0483
+- Accuracy: 1.0
 
 ## Model description
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.04833610728383064,
+    "eval_runtime": 3.3849,
+    "eval_samples_per_second": 8.863,
+    "eval_steps_per_second": 1.182,
+    "train_loss": 0.2359935518295046,
+    "train_runtime": 173.1386,
+    "train_samples_per_second": 2.842,
+    "train_steps_per_second": 0.364
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.04833610728383064,
+    "eval_runtime": 3.3849,
+    "eval_samples_per_second": 8.863,
+    "eval_steps_per_second": 1.182
+}

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 3.0,
+    "train_loss": 0.2359935518295046,
+    "train_runtime": 173.1386,
+    "train_samples_per_second": 2.842,
+    "train_steps_per_second": 0.364
+}

trainer_state.json

@@ -0,0 +1,30 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 63,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 3.0,
+      "step": 63,
+      "total_flos": 3.812605889037926e+16,
+      "train_loss": 0.2359935518295046,
+      "train_runtime": 173.1386,
+      "train_samples_per_second": 2.842,
+      "train_steps_per_second": 0.364
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 63,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 3.812605889037926e+16,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}