Model save

README.md

@@ -1,9 +1,7 @@
 ---
 license: apache-2.0
-base_model: google-bert/bert-base-uncased
+base_model: bert-base-cased
 tags:
-- question-answering
-- nlp
 - generated_from_trainer
 model-index:
 - name: bert-qa-mash-covid
@@ -15,7 +13,9 @@ 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 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
 
 ## Model description
 
@@ -41,15 +41,19 @@ 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  | 0.8542          |
+| 1.089         | 2.0   | 658  | 0.8187          |
+| 1.089         | 3.0   | 987  | 0.8173          |
 
 
 ### Framework versions
 
-- Transformers 4.41.1
-- Pytorch 2.3.0+cu121
-- Datasets 2.19.2
-- Tokenizers 0.19.1
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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