add model

README.md

@@ -17,7 +17,7 @@ model_index:
     metric:
       name: Accuracy
       type: accuracy
-      value: 0.9201755866959311
+      value: 0.9216613202768867
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,11 +27,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2828
-- Precision: 0.6044
-- Recall: 0.6218
-- F1: 0.6130
-- Accuracy: 0.9202
+- Loss: 0.2799
+- Precision: 0.6112
+- Recall: 0.6260
+- F1: 0.6185
+- Accuracy: 0.9217
 
 ## Model description
 
@@ -62,7 +62,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 104  | 0.2828          | 0.6044    | 0.6218 | 0.6130 | 0.9202   |
+| No log        | 1.0   | 104  | 0.2799          | 0.6112    | 0.6260 | 0.6185 | 0.9217   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3a8fd33d7cbfe615d528793a399e04fc4767f2435953fc7c5cb33b18af5b807b
+oid sha256:16d61fab2d48382500edeb87fe5096bcf28414c1f6848d68502cd80e21aea7ce
 size 430992881

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f369911459f2f8b9de2dfab8ade6947539ed13f8f8b527c82ee6519b8962c909
+oid sha256:de7faf0aa3a22121f9cfabde575d630a87b2ac0fd93f79c44acf42dced3130b0
 size 2671