model tuned

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 base_model: google-bert/bert-base-uncased
 tags:
+- question-answering
+- nlp
 - generated_from_trainer
 model-index:
 - name: bert-qa-mash-covid
@@ -13,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-qa-mash-covid
 
-This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the mashqa_covid_dataset dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3079
+- Loss: 1.2296
 
 ## Model description
 
@@ -46,9 +48,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 329  | 1.4420          |
-| 1.7006        | 2.0   | 658  | 1.3099          |
-| 1.7006        | 3.0   | 987  | 1.3079          |
+| No log        | 1.0   | 329  | 1.3881          |
+| 1.6542        | 2.0   | 658  | 1.3044          |
+| 1.6542        | 3.0   | 987  | 1.2296          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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runs/Jun04_08-52-05_cb7fc95f01c2/events.out.tfevents.1717492459.cb7fc95f01c2.34.1

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+size 359

training_args.bin

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 size 4920