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/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0397
+- Loss: 1.1058
 - Accuracy: 0.5882
 
 ## Model description

all_results.json

@@ -0,0 +1,13 @@
+{
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+    "eval_loss": 1.1057605743408203,
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+    "eval_samples_per_second": 4.765,
+    "eval_steps_per_second": 0.175,
+    "total_flos": 8.47186783811666e+16,
+    "train_loss": 1.3284762523792408,
+    "train_runtime": 800.6992,
+    "train_samples_per_second": 4.586,
+    "train_steps_per_second": 0.034
+}

eval_results.json

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+{
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+    "eval_accuracy": 0.5882352941176471,
+    "eval_loss": 1.1057605743408203,
+    "eval_runtime": 28.5419,
+    "eval_samples_per_second": 4.765,
+    "eval_steps_per_second": 0.175
+}

runs/Aug27_09-12-54_a18d7b092600/events.out.tfevents.1724751127.a18d7b092600.190.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:031170e290bfc77d3ed62a2c631fdc41350138406687738a3eabcb0d2f80c2bf
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
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+    "total_flos": 8.47186783811666e+16,
+    "train_loss": 1.3284762523792408,
+    "train_runtime": 800.6992,
+    "train_samples_per_second": 4.586,
+    "train_steps_per_second": 0.034
+}

trainer_state.json

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+{
+  "best_metric": 0.5882352941176471,
+  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-papsmear/checkpoint-19",
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+  "global_step": 27,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+  "logging_steps": 10,
+  "max_steps": 27,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
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+        "should_log": false,
+        "should_save": true,
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+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}