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  1. .DS_Store +0 -0
  2. MoleculeSTM_GNN_encoder_only.pth +3 -0
  3. Stage_2/added_tokens.json +517 -0
  4. Stage_2/config.json +29 -0
  5. Stage_2/generation_config.json +10 -0
  6. Stage_2/model-00001-of-00003.safetensors +3 -0
  7. Stage_2/model-00002-of-00003.safetensors +3 -0
  8. Stage_2/model-00003-of-00003.safetensors +3 -0
  9. Stage_2/model.safetensors.index.json +298 -0
  10. Stage_2/optimizer.pt +3 -0
  11. Stage_2/projector.pt +3 -0
  12. Stage_2/special_tokens_map.json +3630 -0
  13. Stage_2/tokenizer.json +0 -0
  14. Stage_2/tokenizer.model +3 -0
  15. Stage_2/tokenizer_config.json +0 -0
  16. Stage_3/README.md +202 -0
  17. Stage_3/adapter_config.json +36 -0
  18. Stage_3/adapter_model.safetensors +3 -0
  19. Stage_3/added_tokens.json +517 -0
  20. Stage_3/special_tokens_map.json +546 -0
  21. Stage_3/tokenizer.json +0 -0
  22. Stage_3/tokenizer.model +3 -0
  23. Stage_3/tokenizer_config.json +0 -0
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+ library_name: peft
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+ ---
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+
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+ # Model Card for Model ID
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+ <!-- Provide a quick summary of what the model is/does. -->
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+ ## Model Details
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+ ### Model Description
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+ <!-- Provide a longer summary of what this model is. -->
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+ ## Uses
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+ ## Bias, Risks, and Limitations
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+ ### Recommendations
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+ ## How to Get Started with the Model
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+ Use the code below to get started with the model.
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+ [More Information Needed]
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+ ## Training Details
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+ ### Training Data
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+ ### Training Procedure
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+ #### Preprocessing [optional]
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+ [More Information Needed]
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+ ## Technical Specifications [optional]
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+ ### Framework versions
201
+
202
+ - PEFT 0.15.2
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