End of training

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-classification
+- vision
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/aeroberts4444/huggingface/runs/vxhj2fnj)
 # vit-base-beans-1
 
-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 beans dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1626
-- Accuracy: 0.0
+- Loss: 1.1599
+- Accuracy: 0.125
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 2.0,
+    "eval_accuracy": 0.125,
+    "eval_loss": 1.1599400043487549,
+    "eval_runtime": 0.178,
+    "eval_samples_per_second": 44.956,
+    "eval_steps_per_second": 5.619,
+    "total_flos": 1239882946412544.0,
+    "train_loss": 0.96820068359375,
+    "train_runtime": 21.5994,
+    "train_samples_per_second": 0.741,
+    "train_steps_per_second": 0.093
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.0,
+    "eval_accuracy": 0.125,
+    "eval_loss": 1.1599400043487549,
+    "eval_runtime": 0.178,
+    "eval_samples_per_second": 44.956,
+    "eval_steps_per_second": 5.619
+}

runs/May16_18-14-57_amys-mbp-2.taildb5d.ts.net/events.out.tfevents.1715879753.amys-mbp-2.taildb5d.ts.net

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a268700f9c8a7026d383b8e2e6ac88e0ea44fc4d063e5ba8fa2f2c91f9513b64
+size 308

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.0,
+    "total_flos": 1239882946412544.0,
+    "train_loss": 0.96820068359375,
+    "train_runtime": 21.5994,
+    "train_samples_per_second": 0.741,
+    "train_steps_per_second": 0.093
+}

trainer_state.json

@@ -0,0 +1,60 @@
+{
+  "best_metric": 1.1599400043487549,
+  "best_model_checkpoint": "./beans_outputs/checkpoint-1",
+  "epoch": 2.0,
+  "eval_steps": 500,
+  "global_step": 2,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.125,
+      "eval_loss": 1.1599400043487549,
+      "eval_runtime": 0.2079,
+      "eval_samples_per_second": 38.483,
+      "eval_steps_per_second": 4.81,
+      "step": 1
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.0,
+      "eval_loss": 1.1626136302947998,
+      "eval_runtime": 0.1072,
+      "eval_samples_per_second": 74.595,
+      "eval_steps_per_second": 9.324,
+      "step": 2
+    },
+    {
+      "epoch": 2.0,
+      "step": 2,
+      "total_flos": 1239882946412544.0,
+      "train_loss": 0.96820068359375,
+      "train_runtime": 21.5994,
+      "train_samples_per_second": 0.741,
+      "train_steps_per_second": 0.093
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 2,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "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": 1239882946412544.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}