Model save
Browse files- README.md +51 -0
- generation_config.json +7 -0
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: ibm-research/GP-MoLFormer-Uniq
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tags:
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- generated_from_trainer
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model-index:
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- name: NPComposer-v2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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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- 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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- Pytorch 2.10.0+cu128
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 2,
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"transformers_version": "4.44.2"
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}
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