🍻 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
@@ -16,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-beans-demo-v18Set
 
-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: 0.0183
 - Accuracy: 0.9925

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9924812030075187,
+    "eval_loss": 0.018283642828464508,
+    "eval_runtime": 1.5566,
+    "eval_samples_per_second": 85.443,
+    "eval_steps_per_second": 10.921,
+    "total_flos": 3.205097416476426e+17,
+    "train_loss": 0.12129313756640141,
+    "train_runtime": 101.4087,
+    "train_samples_per_second": 40.785,
+    "train_steps_per_second": 2.564
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9924812030075187,
+    "eval_loss": 0.018283642828464508,
+    "eval_runtime": 1.5566,
+    "eval_samples_per_second": 85.443,
+    "eval_steps_per_second": 10.921
+}

runs/Sep18_21-24-35_7c86479bfb4b/events.out.tfevents.1726694800.7c86479bfb4b.2812.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:690c5caa1f0ac6cc069f8775254022b787fb2eef0bc04c7415ca7d0b2c949374
+size 411

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "total_flos": 3.205097416476426e+17,
+    "train_loss": 0.12129313756640141,
+    "train_runtime": 101.4087,
+    "train_samples_per_second": 40.785,
+    "train_steps_per_second": 2.564
+}

trainer_state.json

@@ -0,0 +1,242 @@
+{
+  "best_metric": 0.018283642828464508,
+  "best_model_checkpoint": "./vit-base-beans-demo-v18Set/checkpoint-200",
+  "epoch": 4.0,
+  "eval_steps": 100,
+  "global_step": 260,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.15384615384615385,
+      "grad_norm": 1.9852875471115112,
+      "learning_rate": 0.00019230769230769233,
+      "loss": 0.7714,
+      "step": 10
+    },
+    {
+      "epoch": 0.3076923076923077,
+      "grad_norm": 1.464369535446167,
+      "learning_rate": 0.00018461538461538463,
+      "loss": 0.3068,
+      "step": 20
+    },
+    {
+      "epoch": 0.46153846153846156,
+      "grad_norm": 2.7782647609710693,
+      "learning_rate": 0.00017692307692307693,
+      "loss": 0.2755,
+      "step": 30
+    },
+    {
+      "epoch": 0.6153846153846154,
+      "grad_norm": 2.644998550415039,
+      "learning_rate": 0.00016923076923076923,
+      "loss": 0.2494,
+      "step": 40
+    },
+    {
+      "epoch": 0.7692307692307693,
+      "grad_norm": 3.2989065647125244,
+      "learning_rate": 0.00016153846153846155,
+      "loss": 0.2214,
+      "step": 50
+    },
+    {
+      "epoch": 0.9230769230769231,
+      "grad_norm": 4.440459728240967,
+      "learning_rate": 0.00015384615384615385,
+      "loss": 0.2554,
+      "step": 60
+    },
+    {
+      "epoch": 1.0769230769230769,
+      "grad_norm": 4.34639310836792,
+      "learning_rate": 0.00014615384615384615,
+      "loss": 0.2229,
+      "step": 70
+    },
+    {
+      "epoch": 1.2307692307692308,
+      "grad_norm": 0.30793580412864685,
+      "learning_rate": 0.00013846153846153847,
+      "loss": 0.0502,
+      "step": 80
+    },
+    {
+      "epoch": 1.3846153846153846,
+      "grad_norm": 0.16813161969184875,
+      "learning_rate": 0.00013076923076923077,
+      "loss": 0.095,
+      "step": 90
+    },
+    {
+      "epoch": 1.5384615384615383,
+      "grad_norm": 2.6364667415618896,
+      "learning_rate": 0.0001230769230769231,
+      "loss": 0.078,
+      "step": 100
+    },
+    {
+      "epoch": 1.5384615384615383,
+      "eval_accuracy": 0.9022556390977443,
+      "eval_loss": 0.23933365941047668,
+      "eval_runtime": 1.3704,
+      "eval_samples_per_second": 97.051,
+      "eval_steps_per_second": 12.405,
+      "step": 100
+    },
+    {
+      "epoch": 1.6923076923076923,
+      "grad_norm": 1.7270195484161377,
+      "learning_rate": 0.00011538461538461538,
+      "loss": 0.0929,
+      "step": 110
+    },
+    {
+      "epoch": 1.8461538461538463,
+      "grad_norm": 0.18225429952144623,
+      "learning_rate": 0.0001076923076923077,
+      "loss": 0.1273,
+      "step": 120
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 4.361037731170654,
+      "learning_rate": 0.0001,
+      "loss": 0.0468,
+      "step": 130
+    },
+    {
+      "epoch": 2.1538461538461537,
+      "grad_norm": 2.8020431995391846,
+      "learning_rate": 9.230769230769232e-05,
+      "loss": 0.063,
+      "step": 140
+    },
+    {
+      "epoch": 2.3076923076923075,
+      "grad_norm": 0.12941274046897888,
+      "learning_rate": 8.461538461538461e-05,
+      "loss": 0.0321,
+      "step": 150
+    },
+    {
+      "epoch": 2.4615384615384617,
+      "grad_norm": 4.489058017730713,
+      "learning_rate": 7.692307692307693e-05,
+      "loss": 0.0755,
+      "step": 160
+    },
+    {
+      "epoch": 2.6153846153846154,
+      "grad_norm": 0.9267049431800842,
+      "learning_rate": 6.923076923076924e-05,
+      "loss": 0.0237,
+      "step": 170
+    },
+    {
+      "epoch": 2.769230769230769,
+      "grad_norm": 5.331096172332764,
+      "learning_rate": 6.153846153846155e-05,
+      "loss": 0.0604,
+      "step": 180
+    },
+    {
+      "epoch": 2.9230769230769234,
+      "grad_norm": 0.18483121693134308,
+      "learning_rate": 5.384615384615385e-05,
+      "loss": 0.0156,
+      "step": 190
+    },
+    {
+      "epoch": 3.076923076923077,
+      "grad_norm": 0.8630103468894958,
+      "learning_rate": 4.615384615384616e-05,
+      "loss": 0.0146,
+      "step": 200
+    },
+    {
+      "epoch": 3.076923076923077,
+      "eval_accuracy": 0.9924812030075187,
+      "eval_loss": 0.018283642828464508,
+      "eval_runtime": 1.3591,
+      "eval_samples_per_second": 97.861,
+      "eval_steps_per_second": 12.509,
+      "step": 200
+    },
+    {
+      "epoch": 3.230769230769231,
+      "grad_norm": 0.058952659368515015,
+      "learning_rate": 3.846153846153846e-05,
+      "loss": 0.0125,
+      "step": 210
+    },
+    {
+      "epoch": 3.3846153846153846,
+      "grad_norm": 0.06606506556272507,
+      "learning_rate": 3.0769230769230774e-05,
+      "loss": 0.0146,
+      "step": 220
+    },
+    {
+      "epoch": 3.5384615384615383,
+      "grad_norm": 0.0635906383395195,
+      "learning_rate": 2.307692307692308e-05,
+      "loss": 0.0119,
+      "step": 230
+    },
+    {
+      "epoch": 3.6923076923076925,
+      "grad_norm": 0.05907455459237099,
+      "learning_rate": 1.5384615384615387e-05,
+      "loss": 0.0109,
+      "step": 240
+    },
+    {
+      "epoch": 3.8461538461538463,
+      "grad_norm": 0.05668189004063606,
+      "learning_rate": 7.692307692307694e-06,
+      "loss": 0.0111,
+      "step": 250
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 0.055162131786346436,
+      "learning_rate": 0.0,
+      "loss": 0.0146,
+      "step": 260
+    },
+    {
+      "epoch": 4.0,
+      "step": 260,
+      "total_flos": 3.205097416476426e+17,
+      "train_loss": 0.12129313756640141,
+      "train_runtime": 101.4087,
+      "train_samples_per_second": 40.785,
+      "train_steps_per_second": 2.564
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 260,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 4,
+  "save_steps": 100,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 3.205097416476426e+17,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}