End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: distilbert-base-uncased
+base_model: bert-base-uncased
 tags:
 - generated_from_trainer
 datasets:
@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # my_awesome_qa_model
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the squad dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5851
+- Loss: 1.6687
 
 ## Model description
 
@@ -42,15 +42,17 @@ 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
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 250  | 2.2802          |
-| 2.7586        | 2.0   | 500  | 1.7267          |
-| 2.7586        | 3.0   | 750  | 1.5851          |
+| No log        | 1.0   | 250  | 2.2079          |
+| 2.4745        | 2.0   | 500  | 1.6112          |
+| 2.4745        | 3.0   | 750  | 1.5901          |
+| 0.9178        | 4.0   | 1000 | 1.6356          |
+| 0.9178        | 5.0   | 1250 | 1.6687          |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:08cb5f5b646d4cb7d2339914429a1990786fad290f910a7adcd8546de9e3e0df
+oid sha256:736cd67a648f268576d84437c2a93d991019eb849334877894d5f446e4920ba8
 size 435640489