End of training

README.md

@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0516
+- Loss: 1.0586
 - Accuracy: 1.0
 
 ## Model description

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 2.7272727272727275,
+    "eval_accuracy": 1.0,
+    "eval_loss": 1.0586352348327637,
+    "eval_runtime": 0.2553,
+    "eval_samples_per_second": 301.55,
+    "eval_steps_per_second": 11.749,
+    "total_flos": 1.912117618678579e+16,
+    "train_loss": 1.0821615219116212,
+    "train_runtime": 13.5983,
+    "train_samples_per_second": 152.445,
+    "train_steps_per_second": 1.103
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.7272727272727275,
+    "eval_accuracy": 1.0,
+    "eval_loss": 1.0586352348327637,
+    "eval_runtime": 0.2553,
+    "eval_samples_per_second": 301.55,
+    "eval_steps_per_second": 11.749
+}

runs/Jun04_21-57-52_25bbb29d1c38/events.out.tfevents.1717538334.25bbb29d1c38.300.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2d35d6cc39052fd1a549715223029f76412ed57e370748225eac407490e23312
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.7272727272727275,
+    "total_flos": 1.912117618678579e+16,
+    "train_loss": 1.0821615219116212,
+    "train_runtime": 13.5983,
+    "train_samples_per_second": 152.445,
+    "train_steps_per_second": 1.103
+}

trainer_state.json

@@ -0,0 +1,76 @@
+{
+  "best_metric": 1.0,
+  "best_model_checkpoint": "resnet-18-finetuned-resnet/checkpoint-11",
+  "epoch": 2.7272727272727275,
+  "eval_steps": 500,
+  "global_step": 15,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
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+      "eval_accuracy": 0.4805194805194805,
+      "eval_loss": 1.0896967649459839,
+      "eval_runtime": 0.2491,
+      "eval_samples_per_second": 309.111,
+      "eval_steps_per_second": 12.043,
+      "step": 5
+    },
+    {
+      "epoch": 1.8181818181818183,
+      "grad_norm": 3.7016072273254395,
+      "learning_rate": 1.923076923076923e-05,
+      "loss": 1.0892,
+      "step": 10
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 1.0586352348327637,
+      "eval_runtime": 0.2873,
+      "eval_samples_per_second": 267.995,
+      "eval_steps_per_second": 10.441,
+      "step": 11
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+      "eval_accuracy": 1.0,
+      "eval_loss": 1.0516302585601807,
+      "eval_runtime": 0.2316,
+      "eval_samples_per_second": 332.499,
+      "eval_steps_per_second": 12.955,
+      "step": 15
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+    {
+      "epoch": 2.7272727272727275,
+      "step": 15,
+      "total_flos": 1.912117618678579e+16,
+      "train_loss": 1.0821615219116212,
+      "train_runtime": 13.5983,
+      "train_samples_per_second": 152.445,
+      "train_steps_per_second": 1.103
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 15,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
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+      "attributes": {}
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+  "total_flos": 1.912117618678579e+16,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}