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-2
 
-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: 1.1144
 - Accuracy: 0.375

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.375,
+    "eval_loss": 1.114396333694458,
+    "eval_runtime": 0.2995,
+    "eval_samples_per_second": 53.415,
+    "eval_steps_per_second": 6.677,
+    "train_loss": 0.9750574111938477,
+    "train_runtime": 26.3663,
+    "train_samples_per_second": 3.034,
+    "train_steps_per_second": 0.379
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.375,
+    "eval_loss": 1.114396333694458,
+    "eval_runtime": 0.2995,
+    "eval_samples_per_second": 53.415,
+    "eval_steps_per_second": 6.677
+}

runs/Jan02_17-10-56_Amys-MBP-2.cust.communityfibre.co.uk/events.out.tfevents.1704215526.Amys-MBP-2.cust.communityfibre.co.uk

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d73597b8aae1da4655db06f96e026f9ec0299dfdee0ab59344e8ffc3263c6f89
+size 249

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 5.0,
+    "train_loss": 0.9750574111938477,
+    "train_runtime": 26.3663,
+    "train_samples_per_second": 3.034,
+    "train_steps_per_second": 0.379
+}

trainer_state.json

@@ -0,0 +1,81 @@
+{
+  "best_metric": 1.114396333694458,
+  "best_model_checkpoint": "./beans_outputs/checkpoint-10",
+  "epoch": 5.0,
+  "eval_steps": 500,
+  "global_step": 10,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.4375,
+      "eval_loss": 1.1243417263031006,
+      "eval_runtime": 0.3336,
+      "eval_samples_per_second": 47.962,
+      "eval_steps_per_second": 5.995,
+      "step": 2
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.375,
+      "eval_loss": 1.1203868389129639,
+      "eval_runtime": 0.2032,
+      "eval_samples_per_second": 78.744,
+      "eval_steps_per_second": 9.843,
+      "step": 4
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.375,
+      "eval_loss": 1.1172332763671875,
+      "eval_runtime": 0.1981,
+      "eval_samples_per_second": 80.755,
+      "eval_steps_per_second": 10.094,
+      "step": 6
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.375,
+      "eval_loss": 1.1152395009994507,
+      "eval_runtime": 0.1941,
+      "eval_samples_per_second": 82.414,
+      "eval_steps_per_second": 10.302,
+      "step": 8
+    },
+    {
+      "epoch": 5.0,
+      "learning_rate": 0.0,
+      "loss": 0.9751,
+      "step": 10
+    },
+    {
+      "epoch": 5.0,
+      "eval_accuracy": 0.375,
+      "eval_loss": 1.114396333694458,
+      "eval_runtime": 0.189,
+      "eval_samples_per_second": 84.659,
+      "eval_steps_per_second": 10.582,
+      "step": 10
+    },
+    {
+      "epoch": 5.0,
+      "step": 10,
+      "total_flos": 6199414732062720.0,
+      "train_loss": 0.9750574111938477,
+      "train_runtime": 26.3663,
+      "train_samples_per_second": 3.034,
+      "train_steps_per_second": 0.379
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 10,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 5,
+  "save_steps": 500,
+  "total_flos": 6199414732062720.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}