Model save

README.md

@@ -2,8 +2,6 @@
 license: apache-2.0
 base_model: bert-base-cased
 tags:
-- question-answering
-- nlp
 - generated_from_trainer
 model-index:
 - name: bert-qa-mash-covid
@@ -15,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-qa-mash-covid
 
-This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the mashqa_covid_dataset dataset.
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8173
+- Loss: 0.8329
 
 ## Model description
 
@@ -48,9 +46,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 329  | 0.8542          |
-| 1.089         | 2.0   | 658  | 0.8187          |
-| 1.089         | 3.0   | 987  | 0.8173          |
+| No log        | 1.0   | 329  | 0.8850          |
+| 1.144         | 2.0   | 658  | 0.8207          |
+| 1.144         | 3.0   | 987  | 0.8329          |
 
 
 ### Framework versions

model.safetensors

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 size 430908208

runs/Jun12_10-40-00_17a906f8d9d4/events.out.tfevents.1718188801.17a906f8d9d4.25.0

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training_args.bin

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 size 4920