Model save

README.md

@@ -2,8 +2,6 @@
 license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
-- question-answering
-- nlp
 - generated_from_trainer
 model-index:
 - name: distilbert-qa
@@ -15,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert-qa
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the mashqa_dataset dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3708
+- Loss: 1.4652
 
 ## Model description
 
@@ -48,10 +46,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.9268        | 1.0   | 625  | 1.5220          |
-| 1.5054        | 2.0   | 1250 | 1.3981          |
-| 1.3285        | 3.0   | 1875 | 1.3491          |
-| 1.1141        | 4.0   | 2500 | 1.3708          |
+| 1.862         | 1.0   | 625  | 1.5647          |
+| 1.4457        | 2.0   | 1250 | 1.4875          |
+| 1.3254        | 3.0   | 1875 | 1.4690          |
+| 1.0994        | 4.0   | 2500 | 1.4652          |
 
 
 ### Framework versions

runs/May30_08-13-26_579433d406c7/events.out.tfevents.1717056807.579433d406c7.24.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 6347
+oid sha256:b2ec79234ff2c3bdac48fe053bbba324c1727e77c5a153471b6168c6630e411c
+size 6972