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: 0.6571
+- Loss: 0.6686
 - Accuracy: 0.9118
 - 1-f1: 0.0
 - 1-recall: 0.0
@@ -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
@@ -55,15 +55,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
-| 0.6682        | 1.0   | 91   | 0.6700          | 0.9118   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.6465        | 2.0   | 182  | 0.6699          | 0.9118   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.7742        | 3.0   | 273  | 0.6552          | 0.9118   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.6708        | 4.0   | 364  | 0.6683          | 0.9118   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.7071        | 5.0   | 455  | 0.6530          | 0.9118   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.6274        | 6.0   | 546  | 0.6511          | 0.9118   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.5601        | 7.0   | 637  | 0.6586          | 0.9118   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.7919        | 8.0   | 728  | 0.6569          | 0.9118   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.6328        | 9.0   | 819  | 0.6571          | 0.9118   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.6746        | 1.0   | 91   | 0.6774          | 0.9118   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.6333        | 2.0   | 182  | 0.6769          | 0.9118   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.7695        | 3.0   | 273  | 0.6672          | 0.9118   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.6843        | 4.0   | 364  | 0.6757          | 0.9118   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.7178        | 5.0   | 455  | 0.6668          | 0.9118   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.6505        | 6.0   | 546  | 0.6666          | 0.9118   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.5584        | 7.0   | 637  | 0.6691          | 0.9118   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.8056        | 8.0   | 728  | 0.6686          | 0.9118   | 0.0  | 0.0      | 0.0         | 0.5          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3755d471c57e80e1f5c28bf69c41cc07a428e667869f5af1dc4fd03956cf5692
+oid sha256:d9a8bfbbb13407f337216b24c649e57f59f915a500fbc466dd8fdd1f15df0f4f
 size 2303755328

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:488723559d3c4932d1dedcfee4dd910e8054e36d1912051a2ab3c90dca57da95
+oid sha256:748085ef807b5b927d51b8e301ee0b78acbcba20768ae0ecdb0d1826705e91af
 size 5432