cheers again

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # test-hasy-6
 
-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 None 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 HASY dataset.
 It achieves the following results on the evaluation set:
 - Loss: 3.4460
 - Accuracy: 0.4200

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 2.0,
+    "eval_accuracy": 0.41995841995842,
+    "eval_loss": 3.446028709411621,
+    "eval_runtime": 2.0615,
+    "eval_samples_per_second": 233.32,
+    "eval_steps_per_second": 29.589,
+    "total_flos": 6.710386542096384e+17,
+    "train_loss": 3.966065468497285,
+    "train_runtime": 108.0206,
+    "train_samples_per_second": 80.077,
+    "train_steps_per_second": 10.017
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.0,
+    "eval_accuracy": 0.41995841995842,
+    "eval_loss": 3.446028709411621,
+    "eval_runtime": 2.0615,
+    "eval_samples_per_second": 233.32,
+    "eval_steps_per_second": 29.589
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.0,
+    "total_flos": 6.710386542096384e+17,
+    "train_loss": 3.966065468497285,
+    "train_runtime": 108.0206,
+    "train_samples_per_second": 80.077,
+    "train_steps_per_second": 10.017
+}

trainer_state.json

@@ -0,0 +1,62 @@
+{
+  "best_metric": 0.41995841995842,
+  "best_model_checkpoint": "test-hasy-6/checkpoint-1082",
+  "epoch": 2.0,
+  "eval_steps": 500,
+  "global_step": 1082,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.92,
+      "grad_norm": 3.0262813568115234,
+      "learning_rate": 1.0757855822550833e-05,
+      "loss": 4.227,
+      "step": 500
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.38461538461538464,
+      "eval_loss": 3.6833133697509766,
+      "eval_runtime": 2.0272,
+      "eval_samples_per_second": 237.278,
+      "eval_steps_per_second": 30.091,
+      "step": 541
+    },
+    {
+      "epoch": 1.85,
+      "grad_norm": 3.8626766204833984,
+      "learning_rate": 1.5157116451016638e-06,
+      "loss": 3.756,
+      "step": 1000
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.41995841995842,
+      "eval_loss": 3.446028709411621,
+      "eval_runtime": 1.9847,
+      "eval_samples_per_second": 242.357,
+      "eval_steps_per_second": 30.735,
+      "step": 1082
+    },
+    {
+      "epoch": 2.0,
+      "step": 1082,
+      "total_flos": 6.710386542096384e+17,
+      "train_loss": 3.966065468497285,
+      "train_runtime": 108.0206,
+      "train_samples_per_second": 80.077,
+      "train_steps_per_second": 10.017
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 1082,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "save_steps": 500,
+  "total_flos": 6.710386542096384e+17,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}