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--- |
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license: mit |
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base_model: jarod0411/zinc10M_gpt2-medium_SMILES_step1 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: linker_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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# linker_v2 |
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This model is a fine-tuned version of [jarod0411/zinc10M_gpt2-medium_SMILES_step1](https://huggingface.co/jarod0411/zinc10M_gpt2-medium_SMILES_step1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3096 |
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- Accuracy: 0.8994 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 1 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 64 |
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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: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:------:|:---------------:|:--------:| |
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| 0.3437 | 1.0 | 53844 | 0.3364 | 0.8920 | |
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| 0.3312 | 2.0 | 107688 | 0.3266 | 0.8947 | |
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| 0.3244 | 3.0 | 161532 | 0.3213 | 0.8961 | |
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| 0.32 | 4.0 | 215376 | 0.3178 | 0.8971 | |
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| 0.3162 | 5.0 | 269220 | 0.3153 | 0.8978 | |
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| 0.3133 | 6.0 | 323064 | 0.3134 | 0.8983 | |
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| 0.3113 | 7.0 | 376908 | 0.3120 | 0.8987 | |
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| 0.3094 | 8.0 | 430752 | 0.3108 | 0.8990 | |
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| 0.3077 | 9.0 | 484596 | 0.3100 | 0.8993 | |
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| 0.3072 | 10.0 | 538440 | 0.3096 | 0.8994 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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