End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2312
-- Precision: 0.8615
-- Recall: 0.9344
-- F1: 0.8965
-- Accuracy: 0.8934
+- Loss: 0.2413
+- Precision: 0.8525
+- Recall: 0.9419
+- F1: 0.8950
+- Accuracy: 0.8926
 
 ## Model description
 

all_results.json

@@ -1,5 +1,13 @@
 {
  "epoch": 2.0,
+ "eval_accuracy": 0.8926332288401254,
+ "eval_f1": 0.8949654996166624,
+ "eval_loss": 0.24127539992332458,
+ "eval_precision": 0.8524829600778968,
+ "eval_recall": 0.9419042495965573,
+ "eval_runtime": 177.3711,
+ "eval_samples_per_second": 21.582,
+ "eval_steps_per_second": 0.902,
  "total_flos": 1.3995088604806644e+19,
  "train_loss": 0.259534664043345,
  "train_runtime": 9346.2499,

eval_results.json

@@ -0,0 +1,11 @@
+{
+ "epoch": 2.0,
+ "eval_accuracy": 0.8926332288401254,
+ "eval_f1": 0.8949654996166624,
+ "eval_loss": 0.24127539992332458,
+ "eval_precision": 0.8524829600778968,
+ "eval_recall": 0.9419042495965573,
+ "eval_runtime": 177.3711,
+ "eval_samples_per_second": 21.582,
+ "eval_steps_per_second": 0.902
+}

runs/Jan12_14-42-36_5e28ae80fd27/events.out.tfevents.1705080097.5e28ae80fd27.297.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc9e1dcfab8e00597932dfea7cfdadaab8698ce7dbb6fbd2ee78f9c2e1f1c5c8
+size 560

trainer_state.json

@@ -1846,6 +1846,18 @@
  "train_runtime": 9346.2499,
  "train_samples_per_second": 6.553,
  "train_steps_per_second": 0.273
+ },
+ {
+ "epoch": 2.0,
+ "eval_accuracy": 0.8926332288401254,
+ "eval_f1": 0.8949654996166624,
+ "eval_loss": 0.24127539992332458,
+ "eval_precision": 0.8524829600778968,
+ "eval_recall": 0.9419042495965573,
+ "eval_runtime": 177.3711,
+ "eval_samples_per_second": 21.582,
+ "eval_steps_per_second": 0.902,
+ "step": 2552
  }
  ],
  "logging_steps": 10,