🍻 cheers

README.md

@@ -3,6 +3,7 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # logo-matching-base
 
-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 is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the ellabettison/logo-matching dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3222
-- Accuracy: 0.5886
+- Loss: 0.3223
+- Accuracy: 0.5788
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.5787671232876712,
+    "eval_loss": 0.32226255536079407,
+    "eval_runtime": 2.6758,
+    "eval_samples_per_second": 109.128,
+    "eval_steps_per_second": 13.828,
+    "total_flos": 3.431561927399424e+16,
+    "train_loss": 0.3744247385433742,
+    "train_runtime": 46.1383,
+    "train_samples_per_second": 9.58,
+    "train_steps_per_second": 0.607
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.5787671232876712,
+    "eval_loss": 0.32226255536079407,
+    "eval_runtime": 2.6758,
+    "eval_samples_per_second": 109.128,
+    "eval_steps_per_second": 13.828
+}

runs/Jan15_19-13-05_a99b99d67614/events.out.tfevents.1736968449.a99b99d67614.505.17

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fc444cfc74bcecbee7ed56c0f3fe70110a19313cbb3c355efce6997219153747
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "total_flos": 3.431561927399424e+16,
+    "train_loss": 0.3744247385433742,
+    "train_runtime": 46.1383,
+    "train_samples_per_second": 9.58,
+    "train_steps_per_second": 0.607
+}

trainer_state.json

@@ -0,0 +1,65 @@
+{
+  "best_metric": 0.32221078872680664,
+  "best_model_checkpoint": "./logo-matching-base/checkpoint-28",
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 28,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.35714285714285715,
+      "grad_norm": 0.14877572655677795,
+      "learning_rate": 0.00012857142857142858,
+      "loss": 0.4303,
+      "step": 10
+    },
+    {
+      "epoch": 0.7142857142857143,
+      "grad_norm": 0.1364007592201233,
+      "learning_rate": 5.714285714285714e-05,
+      "loss": 0.3567,
+      "step": 20
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.5886287625418061,
+      "eval_loss": 0.32221078872680664,
+      "eval_runtime": 4.0529,
+      "eval_samples_per_second": 73.774,
+      "eval_steps_per_second": 9.376,
+      "step": 28
+    },
+    {
+      "epoch": 1.0,
+      "step": 28,
+      "total_flos": 3.431561927399424e+16,
+      "train_loss": 0.3744247385433742,
+      "train_runtime": 46.1383,
+      "train_samples_per_second": 9.58,
+      "train_steps_per_second": 0.607
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 28,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 3.431561927399424e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}