Model save

README.md

@@ -4,7 +4,7 @@ base_model: albert-large-v2
 tags:
 - generated_from_trainer
 datasets:
-- squad
+- squad_v2
 model-index:
 - name: albert-large-v2-finetuned-squad
   results: []
@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # albert-large-v2-finetuned-squad
 
-This model is a fine-tuned version of [albert-large-v2](https://huggingface.co/albert-large-v2) on the squad dataset.
+This model is a fine-tuned version of [albert-large-v2](https://huggingface.co/albert-large-v2) on the squad_v2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2470
+- Loss: 1.1819
 
 ## Model description
 
@@ -48,11 +48,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
-| 0.8306        | 1.0   | 5540  | 0.8740          |
-| 0.6869        | 2.0   | 11080 | 0.8217          |
-| 0.5048        | 3.0   | 16620 | 0.9404          |
-| 0.3837        | 4.0   | 22160 | 1.0320          |
-| 0.2634        | 5.0   | 27700 | 1.2470          |
+| 0.8412        | 1.0   | 8248  | 0.8427          |
+| 0.6729        | 2.0   | 16496 | 0.7978          |
+| 0.5069        | 3.0   | 24744 | 0.8760          |
+| 0.357         | 4.0   | 32992 | 1.0229          |
+| 0.2374        | 5.0   | 41240 | 1.1819          |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6194acbfe375d994f45451b4c8ad58a516b2c279da9766d83e24ea1a0f6dd069
+oid sha256:da9e70665d571c38bf31bdc0b3b66090f56fa6020d61c30d5ab8fc8095c6ab39
 size 66553690