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@@ -15,7 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/npcomposer/npcomposer/runs/lpvwn86m)
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  # NPComposer-v2
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- This model is a fine-tuned version of [ibm-research/GP-MoLFormer-Uniq](https://huggingface.co/ibm-research/GP-MoLFormer-Uniq) on an unknown dataset.
 
 
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  ## Model description
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@@ -43,6 +45,20 @@ The following hyperparameters were used during training:
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  - lr_scheduler_warmup_ratio: 0.03
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  - num_epochs: 8.0
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  ### Framework versions
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  - Transformers 4.44.2
 
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/npcomposer/npcomposer/runs/lpvwn86m)
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  # NPComposer-v2
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+ This model is a fine-tuned version of [ibm-research/GP-MoLFormer-Uniq](https://huggingface.co/ibm-research/GP-MoLFormer-Uniq) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2718
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  ## Model description
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  - lr_scheduler_warmup_ratio: 0.03
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  - num_epochs: 8.0
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+ ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:------:|:---------------:|
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+ | 0.4069 | 1.0 | 27763 | 0.3820 |
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+ | 0.3507 | 2.0 | 55526 | 0.3371 |
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+ | 0.3247 | 3.0 | 83289 | 0.3142 |
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+ | 0.3074 | 4.0 | 111052 | 0.2995 |
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+ | 0.291 | 5.0 | 138815 | 0.2888 |
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+ | 0.2765 | 6.0 | 166578 | 0.2803 |
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+ | 0.2677 | 7.0 | 194341 | 0.2750 |
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+ | 0.2569 | 8.0 | 222104 | 0.2718 |
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  ### Framework versions
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  - Transformers 4.44.2