Model save

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: Twitter/twhin-bert-large
+base_model: oyounis/BERT-Autocorrector
 tags:
 - generated_from_trainer
 model-index:
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # model
 
-This model is a fine-tuned version of [Twitter/twhin-bert-large](https://huggingface.co/Twitter/twhin-bert-large) on the None dataset.
+This model is a fine-tuned version of [oyounis/BERT-Autocorrector](https://huggingface.co/oyounis/BERT-Autocorrector) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9379
+- Loss: 1.9846
 
 ## Model description
 
@@ -46,11 +46,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 134  | 2.1741          |
-| No log        | 2.0   | 268  | 2.0266          |
-| No log        | 3.0   | 402  | 2.0429          |
-| 2.1752        | 4.0   | 536  | 2.0212          |
-| 2.1752        | 5.0   | 670  | 1.9379          |
+| No log        | 1.0   | 300  | 2.1807          |
+| 2.4036        | 2.0   | 600  | 2.0895          |
+| 2.4036        | 3.0   | 900  | 2.0379          |
+| 2.1945        | 4.0   | 1200 | 1.9572          |
+| 2.1093        | 5.0   | 1500 | 1.9846          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:df2661b2f7dcf9b899621708ab95cdfe524da0e47e1cae6f1abfc0005921a04f
+oid sha256:4a78779900a9f1c22665b7ed1d256ddb0eef48a689a443b4f5ab9d34b4ca6fc2
 size 2246902200