Model save

README.md

@@ -2,10 +2,7 @@
 license: apache-2.0
 base_model: albert-base-v2
 tags:
-- question-answering
 - generated_from_trainer
-datasets:
-- squad
 model-index:
 - name: out
   results: []
@@ -16,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # out
 
-This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the squad dataset.
+This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the None dataset.
 
 ## Model description
 
@@ -41,7 +38,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3.0
+- num_epochs: 5.0
 
 ### Training results
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6bfe644950bb3fc52016fa8c37d6a4d3ac0f398b9338b69465adfd7fe7a254b0
+oid sha256:767bd2e30823d9724849795120d8a1d9687432e2dff8cc7b39e95e99202971fc
 size 44387257

raw_pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c2cc5c3034d7bc293964606790df01dcb11080e7ddc29abed1b821562bf0fca3
+oid sha256:81e2a12ea7fa27a4017ab070f3a6682975ec6af8b606acf4274202aa60b61b2f
 size 73096798

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:65762e5e4cd625b95cf35d2a365631850e47aee35e6b9f9e0e595a001383d06c
+oid sha256:728ac3a56bbc8bfb5625ea48accee6a79932f705cc0ed6fe0219b0a0a182ca07
 size 4664