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README.md

@@ -8,13 +8,14 @@ tags:
 datasets:
     - squad_v2
     - LLukas22/nq-simplified
+    - newsqa
     - LLukas22/NLQuAD
     - deepset/germanquad
 ---
 
 # all-MiniLM-L12-v2-qa-all
 This model is an extractive qa model.
-It's a fine-tuned version of [all-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2) on the following datasets: [squad_v2](https://huggingface.co/datasets/squad_v2), [LLukas22/nq-simplified](https://huggingface.co/datasets/LLukas22/nq-simplified), [LLukas22/NLQuAD](https://huggingface.co/datasets/LLukas22/NLQuAD), [deepset/germanquad](https://huggingface.co/datasets/deepset/germanquad).
+It's a fine-tuned version of [all-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2) on the following datasets: [squad_v2](https://huggingface.co/datasets/squad_v2), [LLukas22/nq-simplified](https://huggingface.co/datasets/LLukas22/nq-simplified), [newsqa](https://huggingface.co/datasets/newsqa), [LLukas22/NLQuAD](https://huggingface.co/datasets/LLukas22/NLQuAD), [deepset/germanquad](https://huggingface.co/datasets/deepset/germanquad).
 
 
 
@@ -64,12 +65,12 @@ The following hyperparameters were used during training:
 ## Training results
 | Epoch | Train Loss | Validation Loss |
 | ----- | ---------- | --------------- |
-| 0 | 3.58 | 2.91 |
+| 0 | 3.76 | 3.02 |
 
 ## Evaluation results
 | Epoch | f1 | exact_match |
 | ----- | ----- | ----- |
-| 0 | 0.309 | 0.255 |
+| 0 | 0.29 | 0.228 |
 
 ## Framework versions
 - Transformers: 4.25.1

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lightning_logs/version_1/hparams.yaml

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