End of training

README.md

@@ -18,12 +18,12 @@ 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: 0.9274
-- Accuracy: 0.9523
-- 1-f1: 0.0
-- 1-recall: 0.0
-- 1-precision: 0.0
-- Balanced Acc: 0.5
+- Loss: 0.6568
+- Accuracy: 0.9531
+- 1-f1: 0.2413
+- 1-recall: 0.1564
+- 1-precision: 0.5279
+- Balanced Acc: 0.5747
 
 ## Model description
 
@@ -42,8 +42,8 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
-- train_batch_size: 32
+- learning_rate: 1e-05
+- train_batch_size: 16
 - eval_batch_size: 32
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
@@ -54,12 +54,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
-| 0.5276        | 1.0   | 1742 | 0.6361          | 0.9523   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.7348        | 2.0   | 3484 | 0.5889          | 0.9523   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.7628        | 3.0   | 5226 | 0.7668          | 0.9523   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.4249        | 4.0   | 6968 | 0.9274          | 0.9523   | 0.0  | 0.0      | 0.0         | 0.5          |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
+| 0.0095        | 1.0   | 3484  | 0.8694          | 0.9523   | 0.0    | 0.0      | 0.0         | 0.5          |
+| 1.3096        | 2.0   | 6968  | 0.6567          | 0.9523   | 0.0    | 0.0      | 0.0         | 0.5          |
+| 0.5576        | 3.0   | 10452 | 0.6735          | 0.9097   | 0.3468 | 0.5023   | 0.2649      | 0.7162       |
+| 0.0861        | 4.0   | 13936 | 0.6568          | 0.9531   | 0.2413 | 0.1564   | 0.5279      | 0.5747       |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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