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/swinv2-tiny-patch4-window16-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window16-256) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5462
+- Loss: 0.5599
 - Accuracy: 0.7179
 
 ## Model description

all_results.json

@@ -0,0 +1,13 @@
+{
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+    "eval_accuracy": 0.717948717948718,
+    "eval_loss": 0.5599234700202942,
+    "eval_runtime": 0.7076,
+    "eval_samples_per_second": 110.236,
+    "eval_steps_per_second": 4.24,
+    "total_flos": 4.767600833578598e+16,
+    "train_loss": 0.6222841421763102,
+    "train_runtime": 42.1958,
+    "train_samples_per_second": 49.839,
+    "train_steps_per_second": 0.355
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.7272727272727275,
+    "eval_accuracy": 0.717948717948718,
+    "eval_loss": 0.5599234700202942,
+    "eval_runtime": 0.7076,
+    "eval_samples_per_second": 110.236,
+    "eval_steps_per_second": 4.24
+}

runs/May13_18-48-31_24cc275b3536/events.out.tfevents.1715626173.24cc275b3536.549.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cdc06b365cd536e3364c740ed7d11d9e903b1de75de6616db2172ff99070dd31
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.7272727272727275,
+    "total_flos": 4.767600833578598e+16,
+    "train_loss": 0.6222841421763102,
+    "train_runtime": 42.1958,
+    "train_samples_per_second": 49.839,
+    "train_steps_per_second": 0.355
+}

trainer_state.json

@@ -0,0 +1,64 @@
+{
+  "best_metric": 0.717948717948718,
+  "best_model_checkpoint": "swinv2-tiny-patch4-window16-256-prueba3/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": 0.6666666666666666,
+      "eval_loss": 0.616500735282898,
+      "eval_runtime": 0.7044,
+      "eval_samples_per_second": 110.728,
+      "eval_steps_per_second": 4.259,
+      "step": 5
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+    {
+      "epoch": 1.8181818181818183,
+      "grad_norm": 2.8319458961486816,
+      "learning_rate": 1.923076923076923e-05,
+      "loss": 0.6601,
+      "step": 10
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+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.717948717948718,
+      "eval_loss": 0.5599234700202942,
+      "eval_runtime": 0.7351,
+      "eval_samples_per_second": 106.109,
+      "eval_steps_per_second": 4.081,
+      "step": 11
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+    {
+      "epoch": 2.7272727272727275,
+      "eval_accuracy": 0.717948717948718,
+      "eval_loss": 0.5461894869804382,
+      "eval_runtime": 0.6997,
+      "eval_samples_per_second": 111.469,
+      "eval_steps_per_second": 4.287,
+      "step": 15
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+    {
+      "epoch": 2.7272727272727275,
+      "step": 15,
+      "total_flos": 4.767600833578598e+16,
+      "train_loss": 0.6222841421763102,
+      "train_runtime": 42.1958,
+      "train_samples_per_second": 49.839,
+      "train_steps_per_second": 0.355
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 15,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 4.767600833578598e+16,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}