End of training

README.md

@@ -14,8 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0065
-- Mse: 0.0065
+- Loss: 0.0073
+- Mse: 0.0073
 
 ## Model description
 
@@ -41,16 +41,23 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 3
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Mse    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.0095        | 1.0   | 1103 | 0.0061          | 0.0061 |
-| 0.0068        | 2.0   | 2206 | 0.0065          | 0.0065 |
-| 0.0047        | 3.0   | 3309 | 0.0059          | 0.0059 |
+| Training Loss | Epoch | Step  | Validation Loss | Mse    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.0106        | 1.0   | 1103  | 0.0069          | 0.0069 |
+| 0.0073        | 2.0   | 2206  | 0.0072          | 0.0072 |
+| 0.0058        | 3.0   | 3309  | 0.0063          | 0.0063 |
+| 0.0038        | 4.0   | 4412  | 0.0073          | 0.0073 |
+| 0.0025        | 5.0   | 5515  | 0.0064          | 0.0064 |
+| 0.0019        | 6.0   | 6618  | 0.0065          | 0.0065 |
+| 0.0014        | 7.0   | 7721  | 0.0066          | 0.0066 |
+| 0.0011        | 8.0   | 8824  | 0.0067          | 0.0067 |
+| 0.0008        | 9.0   | 9927  | 0.0066          | 0.0066 |
+| 0.0007        | 10.0  | 11030 | 0.0066          | 0.0066 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b98892882008ee513d4ccb5ba42dba3f33f5803bcef6f8e740d25bdddffb94fe
 size 711501869