End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7692307692307693
+      value: 0.7948717948717948
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4941
-- Accuracy: 0.7692
+- Loss: 0.4983
+- Accuracy: 0.7949
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 2.7272727272727275,
+    "eval_accuracy": 0.7948717948717948,
+    "eval_loss": 0.4983014762401581,
+    "eval_runtime": 1.1952,
+    "eval_samples_per_second": 65.261,
+    "eval_steps_per_second": 2.51,
+    "total_flos": 4.767600833578598e+16,
+    "train_loss": 0.6202580610911052,
+    "train_runtime": 32.385,
+    "train_samples_per_second": 64.937,
+    "train_steps_per_second": 0.463
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.7272727272727275,
+    "eval_accuracy": 0.7948717948717948,
+    "eval_loss": 0.4983014762401581,
+    "eval_runtime": 1.1952,
+    "eval_samples_per_second": 65.261,
+    "eval_steps_per_second": 2.51
+}

runs/May13_18-47-11_24cc275b3536/events.out.tfevents.1715626088.24cc275b3536.549.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f9e6e090b61c8372593e80143dc02548d2c551b8b029a460545a90b49fa27b5a
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.7272727272727275,
+    "total_flos": 4.767600833578598e+16,
+    "train_loss": 0.6202580610911052,
+    "train_runtime": 32.385,
+    "train_samples_per_second": 64.937,
+    "train_steps_per_second": 0.463
+}

trainer_state.json

@@ -0,0 +1,64 @@
+{
+  "best_metric": 0.7948717948717948,
+  "best_model_checkpoint": "swinv2-tiny-patch4-window8-256-prueba2/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": [
+    {
+      "epoch": 0.9090909090909091,
+      "eval_accuracy": 0.7692307692307693,
+      "eval_loss": 0.58552485704422,
+      "eval_runtime": 0.5582,
+      "eval_samples_per_second": 139.732,
+      "eval_steps_per_second": 5.374,
+      "step": 5
+    },
+    {
+      "epoch": 1.8181818181818183,
+      "grad_norm": 2.9700989723205566,
+      "learning_rate": 1.923076923076923e-05,
+      "loss": 0.6548,
+      "step": 10
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.7948717948717948,
+      "eval_loss": 0.4983014762401581,
+      "eval_runtime": 0.561,
+      "eval_samples_per_second": 139.032,
+      "eval_steps_per_second": 5.347,
+      "step": 11
+    },
+    {
+      "epoch": 2.7272727272727275,
+      "eval_accuracy": 0.7692307692307693,
+      "eval_loss": 0.49411284923553467,
+      "eval_runtime": 0.5477,
+      "eval_samples_per_second": 142.403,
+      "eval_steps_per_second": 5.477,
+      "step": 15
+    },
+    {
+      "epoch": 2.7272727272727275,
+      "step": 15,
+      "total_flos": 4.767600833578598e+16,
+      "train_loss": 0.6202580610911052,
+      "train_runtime": 32.385,
+      "train_samples_per_second": 64.937,
+      "train_steps_per_second": 0.463
+    }
+  ],
+  "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
+}