End of training

README.md

@@ -1,6 +1,5 @@
 ---
-license: apache-2.0
-base_model: distilbert-base-uncased
+base_model: mrm8488/bert-multi-cased-finetuned-xquadv1
 tags:
 - generated_from_trainer
 model-index:
@@ -13,9 +12,9 @@ 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 an unknown dataset.
+This model is a fine-tuned version of [mrm8488/bert-multi-cased-finetuned-xquadv1](https://huggingface.co/mrm8488/bert-multi-cased-finetuned-xquadv1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5096
+- Loss: 1.1879
 
 ## Model description
 
@@ -46,9 +45,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 375  | 1.5779          |
-| 1.7479        | 2.0   | 750  | 1.4757          |
-| 1.1314        | 3.0   | 1125 | 1.5096          |
+| No log        | 1.0   | 375  | 1.0704          |
+| 1.1969        | 2.0   | 750  | 1.0312          |
+| 0.6012        | 3.0   | 1125 | 1.1879          |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5c132871d4460c2cbd8fdfe46ce2923b883adc793eb4c3e60869f49a326c422c
+oid sha256:a0114923d4457462d2d1741dc2ac42a3f7a92cbde0f8dd4e1a99585e8d9c3f7b
 size 709125289