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--- |
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license: mit |
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base_model: gpt2-medium |
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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: zinc10M_gpt2-medium_SMILES_step1 |
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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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# zinc10M_gpt2-medium_SMILES_step1 |
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This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5598 |
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- Accuracy: 0.8151 |
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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: 42 |
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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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| 0.635 | 1.0 | 10635 | 0.6169 | 0.8007 | |
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| 0.6073 | 2.0 | 21270 | 0.5937 | 0.8066 | |
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| 0.5932 | 3.0 | 31905 | 0.5828 | 0.8093 | |
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| 0.5843 | 4.0 | 42540 | 0.5754 | 0.8112 | |
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| 0.5782 | 5.0 | 53175 | 0.5704 | 0.8124 | |
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| 0.5729 | 6.0 | 63810 | 0.5666 | 0.8134 | |
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| 0.5691 | 7.0 | 74445 | 0.5638 | 0.8141 | |
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| 0.5666 | 8.0 | 85080 | 0.5620 | 0.8145 | |
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| 0.5644 | 9.0 | 95715 | 0.5606 | 0.8149 | |
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| 0.5629 | 10.0 | 106350 | 0.5598 | 0.8151 | |
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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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