Model save

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4704
-- Accuracy: 0.8137
-- F1: 0.8662
+- Loss: 0.4265
+- Accuracy: 0.8505
+- F1: 0.8856
 
 ## Model description
 
@@ -39,19 +39,20 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 1e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
-| 0.6113        | 1.0893 | 500  | 0.4704          | 0.8137   | 0.8662 |
+| 0.5289        | 1.0893 | 500  | 0.3949          | 0.8529   | 0.8966 |
+| 0.3665        | 2.1786 | 1000 | 0.4265          | 0.8505   | 0.8856 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7cf8ddd44f503b871a1839cf9afdba54be6dd6cba325c3a2d34ef49cf347e366
+oid sha256:1379f2c8aed129157c3d409b3c6f33bf9cfccb00c986cccd50c43557e3f11762
 size 498612824