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
@@ -15,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-beans
 
-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: 0.7707
 - Accuracy: 0.9173

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.9172932330827067,
+    "eval_loss": 0.7707005739212036,
+    "eval_runtime": 1.358,
+    "eval_samples_per_second": 97.939,
+    "eval_steps_per_second": 3.682,
+    "total_flos": 8.012743541191066e+16,
+    "train_loss": 0.8939177845463608,
+    "train_runtime": 28.7291,
+    "train_samples_per_second": 35.991,
+    "train_steps_per_second": 1.149
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.9172932330827067,
+    "eval_loss": 0.7707005739212036,
+    "eval_runtime": 1.358,
+    "eval_samples_per_second": 97.939,
+    "eval_steps_per_second": 3.682
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "total_flos": 8.012743541191066e+16,
+    "train_loss": 0.8939177845463608,
+    "train_runtime": 28.7291,
+    "train_samples_per_second": 35.991,
+    "train_steps_per_second": 1.149
+}

trainer_state.json

@@ -0,0 +1,72 @@
+{
+  "best_metric": 0.7707005739212036,
+  "best_model_checkpoint": "./beans_outputs/checkpoint-33",
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 33,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.30303030303030304,
+      "grad_norm": 1.727879285812378,
+      "learning_rate": 1.3939393939393942e-05,
+      "loss": 1.0069,
+      "step": 10
+    },
+    {
+      "epoch": 0.6060606060606061,
+      "grad_norm": 1.4632545709609985,
+      "learning_rate": 7.87878787878788e-06,
+      "loss": 0.8791,
+      "step": 20
+    },
+    {
+      "epoch": 0.9090909090909091,
+      "grad_norm": 1.3964664936065674,
+      "learning_rate": 1.8181818181818183e-06,
+      "loss": 0.8225,
+      "step": 30
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.9172932330827067,
+      "eval_loss": 0.7707005739212036,
+      "eval_runtime": 1.4349,
+      "eval_samples_per_second": 92.687,
+      "eval_steps_per_second": 3.484,
+      "step": 33
+    },
+    {
+      "epoch": 1.0,
+      "step": 33,
+      "total_flos": 8.012743541191066e+16,
+      "train_loss": 0.8939177845463608,
+      "train_runtime": 28.7291,
+      "train_samples_per_second": 35.991,
+      "train_steps_per_second": 1.149
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 33,
+  "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": 8.012743541191066e+16,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}