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: 0.6646
-- Accuracy: 0.9260
-- 1-f1: 0.0
-- 1-recall: 0.0
-- 1-precision: 0.0
-- Balanced Acc: 0.5
+- Loss: 0.6768
+- Accuracy: 0.7781
+- 1-f1: 0.1758
+- 1-recall: 0.32
+- 1-precision: 0.1212
+- Balanced Acc: 0.5673
 
 ## Model description
 
@@ -44,7 +44,7 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
 - train_batch_size: 16
-- eval_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
 - lr_scheduler_type: linear
@@ -53,12 +53,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
-| 0.8149        | 1.0   | 85   | 0.6585          | 0.9260   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.6275        | 2.0   | 170  | 0.6612          | 0.9260   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.7419        | 3.0   | 255  | 0.6586          | 0.9260   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.6536        | 4.0   | 340  | 0.6646          | 0.9260   | 0.0  | 0.0      | 0.0         | 0.5          |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
+| 0.8084        | 1.0   | 85   | 0.6709          | 0.9260   | 0.0    | 0.0      | 0.0         | 0.5          |
+| 0.6112        | 2.0   | 170  | 0.6704          | 0.9260   | 0.0    | 0.0      | 0.0         | 0.5          |
+| 0.5892        | 3.0   | 255  | 1.0901          | 0.8077   | 0.1558 | 0.24     | 0.1154      | 0.5465       |
+| 0.4492        | 4.0   | 340  | 0.6768          | 0.7781   | 0.1758 | 0.32     | 0.1212      | 0.5673       |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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