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
@@ -15,9 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-qa-mash-covid
 
-This model is a fine-tuned version of [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: 1.2132
+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
 
@@ -43,19 +39,15 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 3
+- mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 329  | 1.3919          |
-| 1.6774        | 2.0   | 658  | 1.2387          |
-| 1.6774        | 3.0   | 987  | 1.2132          |
 
 
 ### Framework versions
 
-- Transformers 4.39.3
+- Transformers 4.41.1
 - Pytorch 2.1.2
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Datasets 2.19.1
+- Tokenizers 0.19.1

model.safetensors

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runs/Jun04_14-44-18_57c861cbf3ff/events.out.tfevents.1717512259.57c861cbf3ff.24.0

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