End of training

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/rembert](https://huggingface.co/google/rembert) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7613
+- Loss: 0.7785
 - Accuracy: 0.9536
 - 1-f1: 0.0
 - 1-recall: 0.0
@@ -48,16 +48,18 @@ The following hyperparameters were used during training:
 - 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
-- num_epochs: 3
+- num_epochs: 5
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
-| 0.6157        | 1.0   | 873  | 0.8300          | 0.9536   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 1.0104        | 2.0   | 1746 | 0.7487          | 0.9536   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.6709        | 3.0   | 2619 | 0.7613          | 0.9536   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.5308        | 1.0   | 873  | 0.7978          | 0.9536   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 1.2614        | 2.0   | 1746 | 0.7574          | 0.9536   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.8156        | 3.0   | 2619 | 0.8353          | 0.9536   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.6846        | 4.0   | 3492 | 0.8088          | 0.9536   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 1.0974        | 5.0   | 4365 | 0.7785          | 0.9536   | 0.0  | 0.0      | 0.0         | 0.5          |
 
 
 ### Framework versions

model.safetensors

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runs/Apr23_21-09-29_13c20fd1e1e6/events.out.tfevents.1745442570.13c20fd1e1e6.6816.3

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training_args.bin

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