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 +13,7 @@ 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.
-It achieves the following results on the evaluation set:
-- Loss: 0.8329
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 
 ## Model description
 
@@ -37,8 +33,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -46,11 +42,6 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 329  | 0.8850          |
-| 1.144         | 2.0   | 658  | 0.8207          |
-| 1.144         | 3.0   | 987  | 0.8329          |
 
 
 ### Framework versions