Model save

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [csarron/mobilebert-uncased-squad-v2](https://huggingface.co/csarron/mobilebert-uncased-squad-v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.5440
+- Loss: 5.3852
 
 ## Model description
 
@@ -34,23 +34,28 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- learning_rate: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 131  | 2.4131          |
-| No log        | 2.0   | 262  | 2.2294          |
-| No log        | 3.0   | 393  | 2.3205          |
-| 1.6638        | 4.0   | 524  | 2.5108          |
-| 1.6638        | 5.0   | 655  | 2.5440          |
+| No log        | 1.0   | 261  | 2.5342          |
+| 1.1477        | 2.0   | 522  | 3.0589          |
+| 1.1477        | 3.0   | 783  | 3.3153          |
+| 0.8069        | 4.0   | 1044 | 3.6017          |
+| 0.8069        | 5.0   | 1305 | 3.9008          |
+| 0.5801        | 6.0   | 1566 | 4.2309          |
+| 0.5801        | 7.0   | 1827 | 4.7884          |
+| 0.425         | 8.0   | 2088 | 5.3603          |
+| 0.425         | 9.0   | 2349 | 5.3233          |
+| 0.3237        | 10.0  | 2610 | 5.3852          |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6b12476d851c19f5181932c687ef0d323b92937658f463d6eae5ba520faae9b5
+oid sha256:675d1b9756a55f532ab3d9d46683bc01fa4731b0c303241286b211ad2736a67e
 size 98721439