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yashwan2003
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my_awesome_health_qa_model_35

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  1. README.md +11 -6
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2829
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  ## Model description
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@@ -40,19 +40,24 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.2628 | 1.0 | 731 | 1.2379 |
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- | 1.1285 | 2.0 | 1462 | 1.2829 |
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.42.4
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- - Pytorch 2.3.1+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2238
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 7
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.1137 | 1.0 | 684 | 0.9948 |
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+ | 0.9401 | 2.0 | 1368 | 1.0000 |
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+ | 0.7252 | 3.0 | 2052 | 1.0297 |
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+ | 0.63 | 4.0 | 2736 | 1.0668 |
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+ | 0.5714 | 5.0 | 3420 | 1.1511 |
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+ | 0.481 | 6.0 | 4104 | 1.1907 |
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+ | 0.4489 | 7.0 | 4788 | 1.2238 |
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  ### Framework versions
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+ - Transformers 4.42.3
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+ - Pytorch 2.1.2
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1