Model save

README.md

@@ -13,9 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # results
 
-This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.1792
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 
 ## Model description
 
@@ -34,25 +32,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 5e-06
 - train_batch_size: 64
 - eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 5
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.4613        | 1.0   | 130  | 0.3615          |
-| 0.3072        | 2.0   | 260  | 0.1792          |
-| 0.2203        | 3.0   | 390  | 0.2442          |
-| 0.237         | 4.0   | 520  | 0.2090          |
-| 0.0665        | 5.0   | 650  | 0.2617          |
-
+- num_epochs: 10
 
 ### Framework versions
 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ed18a88833e187d60a38221865f7ddf74254ea3e4f2f0763eb7d0690848028ff
+oid sha256:67bdfc235929b2fb18133b6521b56ee7f767ac1405e1185f209a91744416eea7
 size 498612824