Model save

README.md

@@ -2,8 +2,6 @@
 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
@@ -15,7 +13,7 @@ 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 the mashqa_covid_dataset dataset.
+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.
 
 ## Model description
 
@@ -50,6 +48,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.41.1
-- Pytorch 2.1.2
-- Datasets 2.19.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
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 size 435596088

runs/Jun05_02-32-56_4209aa282a60/events.out.tfevents.1717554789.4209aa282a60.3772.0

@@ -1,3 +1,3 @@
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