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: 0.75
-- Loss: 0.6045
-- F1: 0.7253
-- Precision: 0.7674
-- Recall: 0.6875
+- Accuracy: 0.703
+- Loss: 0.6038
+- F1: 0.6824
+- Precision: 0.6393
+- Recall: 0.7317
 
 ## Model description
 
@@ -45,8 +45,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 64
+- eval_batch_size: 64
 - 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
@@ -56,14 +56,6 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Accuracy | Validation Loss | F1     | Precision | Recall |
-|:-------------:|:------:|:----:|:--------:|:---------------:|:------:|:---------:|:------:|
-| 0.6906        | 0.4425 | 50   | 0.69     | 0.6182          | 0.6076 | 0.7742    | 0.5    |
-| 0.6197        | 0.8850 | 100  | 0.72     | 0.6002          | 0.7143 | 0.7       | 0.7292 |
-| 0.4807        | 1.3274 | 150  | 0.68     | 0.6015          | 0.6098 | 0.7353    | 0.5208 |
-| 0.5256        | 1.7699 | 200  | 0.7      | 0.6059          | 0.6939 | 0.68      | 0.7083 |
-| 0.4112        | 2.2124 | 250  | 0.75     | 0.6045          | 0.7253 | 0.7674    | 0.6875 |
-| 0.394         | 2.6549 | 300  | 0.74     | 0.6080          | 0.7111 | 0.7619    | 0.6667 |
 
 
 ### Framework versions

runs/Mar20_14-36-32_b7ec9d30de87/events.out.tfevents.1742481536.b7ec9d30de87.1203.1

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