End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [OpenGVLab/pvt_v2_b0](https://huggingface.co/OpenGVLab/pvt_v2_b0) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3203
-- Accuracy: 0.4423
+- Loss: 1.4068
+- Accuracy: 0.4615
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
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+    "eval_accuracy": 0.46153846153846156,
+    "eval_loss": 1.4068019390106201,
+    "eval_runtime": 0.7181,
+    "eval_samples_per_second": 72.412,
+    "eval_steps_per_second": 2.785,
+    "total_flos": 4719703929937920.0,
+    "train_loss": 1.377183238665263,
+    "train_runtime": 17.2901,
+    "train_samples_per_second": 105.147,
+    "train_steps_per_second": 0.694
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.526315789473684,
+    "eval_accuracy": 0.46153846153846156,
+    "eval_loss": 1.4068019390106201,
+    "eval_runtime": 0.7181,
+    "eval_samples_per_second": 72.412,
+    "eval_steps_per_second": 2.785
+}

runs/Sep11_20-14-48_60c62fece28f/events.out.tfevents.1726085788.60c62fece28f.7765.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11d4147c9524b7e485caa2c749babac6c4a4df5141d1ba6d76791c850d16c464
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.526315789473684,
+    "total_flos": 4719703929937920.0,
+    "train_loss": 1.377183238665263,
+    "train_runtime": 17.2901,
+    "train_samples_per_second": 105.147,
+    "train_steps_per_second": 0.694
+}

trainer_state.json

@@ -0,0 +1,64 @@
+{
+  "best_metric": 0.46153846153846156,
+  "best_model_checkpoint": "pvt_v2_b0-finetuned-eurosat/checkpoint-4",
+  "epoch": 2.526315789473684,
+  "eval_steps": 500,
+  "global_step": 12,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "eval_runtime": 0.6775,
+      "eval_samples_per_second": 76.749,
+      "eval_steps_per_second": 2.952,
+      "step": 4
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+      "eval_accuracy": 0.46153846153846156,
+      "eval_loss": 1.3296605348587036,
+      "eval_runtime": 1.0058,
+      "eval_samples_per_second": 51.703,
+      "eval_steps_per_second": 1.989,
+      "step": 9
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+    {
+      "epoch": 2.1052631578947367,
+      "grad_norm": 7.29814338684082,
+      "learning_rate": 1e-05,
+      "loss": 1.4031,
+      "step": 10
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+    {
+      "epoch": 2.526315789473684,
+      "eval_accuracy": 0.4423076923076923,
+      "eval_loss": 1.3202760219573975,
+      "eval_runtime": 0.6969,
+      "eval_samples_per_second": 74.612,
+      "eval_steps_per_second": 2.87,
+      "step": 12
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+    {
+      "epoch": 2.526315789473684,
+      "step": 12,
+      "total_flos": 4719703929937920.0,
+      "train_loss": 1.377183238665263,
+      "train_runtime": 17.2901,
+      "train_samples_per_second": 105.147,
+      "train_steps_per_second": 0.694
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+  ],
+  "logging_steps": 10,
+  "max_steps": 12,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 4719703929937920.0,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}