End of training

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.7063
-- Loss: 0.6483
-- F1: 0.6545
-- Precision: 0.6705
-- Recall: 0.6392
+- Accuracy: 1.0
+- Loss: 0.0772
+- F1: 1.0
+- Precision: 1.0
+- Recall: 1.0
 
 ## Model description
 
@@ -44,18 +44,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 1e-05
 - 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: 5
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step | Accuracy | Validation Loss | F1  | Precision | Recall |
+|:-------------:|:-----:|:----:|:--------:|:---------------:|:---:|:---------:|:------:|
+| No log        | 10.0  | 10   | 1.0      | 0.0772          | 1.0 | 1.0       | 1.0    |
 
 
 ### Framework versions

runs/Mar20_15-13-55_b7ec9d30de87/events.out.tfevents.1742483659.b7ec9d30de87.1203.5

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