tejp/human-actions

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224
 tags:
+- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # human-actions
 
-This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the Human_Action_Recognition dataset.
 It achieves the following results on the evaluation set:
 - Loss: 7.1747
 - Accuracy: 0.0676

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.06759259259259259,
+    "eval_f1": 0.008441746169413124,
+    "eval_loss": 7.174674987792969,
+    "eval_runtime": 97.7172,
+    "eval_samples_per_second": 55.262,
+    "eval_steps_per_second": 6.908,
+    "total_flos": 2.9295385025163264e+18,
+    "train_loss": 0.3337646079345806,
+    "train_runtime": 1709.0879,
+    "train_samples_per_second": 22.117,
+    "train_steps_per_second": 0.692
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.06759259259259259,
+    "eval_f1": 0.008441746169413124,
+    "eval_loss": 7.174674987792969,
+    "eval_runtime": 97.7172,
+    "eval_samples_per_second": 55.262,
+    "eval_steps_per_second": 6.908
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "total_flos": 2.9295385025163264e+18,
+    "train_loss": 0.3337646079345806,
+    "train_runtime": 1709.0879,
+    "train_samples_per_second": 22.117,
+    "train_steps_per_second": 0.692
+}

trainer_state.json

@@ -0,0 +1,44 @@
+{
+  "best_metric": 7.174674987792969,
+  "best_model_checkpoint": "./human-actions/checkpoint-1000",
+  "epoch": 3.0,
+  "eval_steps": 1000,
+  "global_step": 1182,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 2.54,
+      "learning_rate": 7.698815566835872e-06,
+      "loss": 0.3842,
+      "step": 1000
+    },
+    {
+      "epoch": 2.54,
+      "eval_accuracy": 0.06759259259259259,
+      "eval_f1": 0.008441746169413124,
+      "eval_loss": 7.174674987792969,
+      "eval_runtime": 97.8976,
+      "eval_samples_per_second": 55.16,
+      "eval_steps_per_second": 6.895,
+      "step": 1000
+    },
+    {
+      "epoch": 3.0,
+      "step": 1182,
+      "total_flos": 2.9295385025163264e+18,
+      "train_loss": 0.3337646079345806,
+      "train_runtime": 1709.0879,
+      "train_samples_per_second": 22.117,
+      "train_steps_per_second": 0.692
+    }
+  ],
+  "logging_steps": 1000,
+  "max_steps": 1182,
+  "num_train_epochs": 3,
+  "save_steps": 1000,
+  "total_flos": 2.9295385025163264e+18,
+  "trial_name": null,
+  "trial_params": null
+}