Model save

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the squad_v2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1145
+- Loss: 1.1550
 
 ## Model description
 
@@ -47,14 +47,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
-| 1.0302        | 1.0   | 8280  | 1.0650          |
-| 0.7757        | 2.0   | 16560 | 0.9399          |
-| 0.5482        | 3.0   | 24840 | 1.1145          |
+| 1.0299        | 1.0   | 8280  | 1.0939          |
+| 0.7797        | 2.0   | 16560 | 0.9607          |
+| 0.5542        | 3.0   | 24840 | 1.1550          |
 
 
 ### Framework versions
 
-- Transformers 4.32.0
+- Transformers 4.32.1
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.4
 - Tokenizers 0.13.3

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:4965d8e9d64a8c67e8e469b7bcc73b05b7f84189c75b22ea3bfab2932345a657
 size 437385385