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BatchSize_64_Metrics.txt

@@ -1,10 +1,10 @@
 
-Name: 06_21_64_2024_12H_01M
-Date:  06_21, 14:00
-Total Training Time: 1.9846614454036107 hours
+Name: 06_24_64_2024_09H_26M
+Date:  06_24, 11:10
+Total Training Time: 1.7200538797266667 hours
 Batch Size: 64
 Eval Strategy: epoch
 Early Stopping: epoch
 Early Stopping Patience: 6
 Best Model Metric: loss
-{'eval_loss': 0.030675701797008514, 'eval_accuracy': 0.995753782279118, 'eval_f1': 0.9964193830729651, 'eval_precision': 0.9988301605870467, 'eval_recall': 0.9940202148489178, 'eval_runtime': 6.7841, 'eval_samples_per_second': 4686.408, 'eval_steps_per_second': 73.26, 'epoch': 33.0}
+{'eval_loss': 0.02691362053155899, 'eval_accuracy': 0.9960369881109643, 'eval_f1': 0.9966346153846154, 'eval_precision': 0.9991966580976864, 'eval_recall': 0.9940856777493606, 'eval_runtime': 6.6919, 'eval_samples_per_second': 4751.14, 'eval_steps_per_second': 74.269, 'epoch': 29.0}

model.safetensors

@@ -1,3 +1,3 @@
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 size 267832560

training_args.bin

@@ -1,3 +1,3 @@
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 size 4728