End of training

README.md

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 This model is a fine-tuned version of [latterworks/highlightedreport-classifier-test](https://huggingface.co/latterworks/highlightedreport-classifier-test) on the None dataset.
 It achieves the following results on the evaluation set:
-- Accuracy: 0.703
-- Loss: 0.6038
-- F1: 0.6824
-- Precision: 0.6393
-- Recall: 0.7317
+- Accuracy: 0.7063
+- Loss: 0.6483
+- F1: 0.6545
+- Precision: 0.6705
+- Recall: 0.6392
 
 ## Model description
 
@@ -45,13 +45,13 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- train_batch_size: 128
+- eval_batch_size: 128
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
+- num_epochs: 5
 - mixed_precision_training: Native AMP
 
 ### Training results

runs/Mar20_14-40-38_b7ec9d30de87/events.out.tfevents.1742483512.b7ec9d30de87.1203.3

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