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distilbert-qa-mash-covid

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  1. README.md +7 -9
  2. model.safetensors +1 -1
  3. runs/Jun03_01-20-35_56b3d85400e2/events.out.tfevents.1717377636.56b3d85400e2.24.0 +2 -2
  4. training_args.bin +1 -1
README.md CHANGED
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  license: mit
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  base_model: FacebookAI/roberta-base
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  tags:
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- - question-answering
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- - nlp
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  - generated_from_trainer
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  model-index:
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  - name: distilbert-qa-mash-covid
@@ -15,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # distilbert-qa-mash-covid
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- This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the mashqa_covid_dataset dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0643
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  ## Model description
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@@ -48,11 +46,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.6892 | 1.0 | 657 | 1.0350 |
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- | 1.0865 | 2.0 | 1314 | 1.0145 |
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- | 0.9423 | 3.0 | 1971 | 0.9382 |
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- | 0.6721 | 4.0 | 2628 | 0.9880 |
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- | 0.5998 | 5.0 | 3285 | 1.0643 |
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  ### Framework versions
 
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  license: mit
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  base_model: FacebookAI/roberta-base
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  tags:
 
 
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  - generated_from_trainer
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  model-index:
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  - name: distilbert-qa-mash-covid
 
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  # distilbert-qa-mash-covid
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+ This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0929
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.7112 | 1.0 | 657 | 1.0613 |
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+ | 1.0835 | 2.0 | 1314 | 1.0024 |
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+ | 0.9518 | 3.0 | 1971 | 1.0094 |
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+ | 0.6736 | 4.0 | 2628 | 1.0287 |
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+ | 0.5997 | 5.0 | 3285 | 1.0929 |
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  ### Framework versions
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