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--- |
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base_model: jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- jarod0411/linker_v6 |
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metrics: |
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- accuracy |
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model-index: |
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- name: linker_v6 |
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results: |
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- task: |
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name: Causal Language Modeling |
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type: text-generation |
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dataset: |
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name: jarod0411/linker_v6 |
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type: jarod0411/linker_v6 |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.8994679101285066 |
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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_v6 |
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This model is a fine-tuned version of [jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1](https://huggingface.co/jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1) on the jarod0411/linker_v6 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3103 |
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- Accuracy: 0.8995 |
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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: 1 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 128 |
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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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| 0.3747 | 1.0 | 43879 | 0.3539 | 0.8870 | |
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| 0.3495 | 2.0 | 87758 | 0.3322 | 0.8936 | |
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| 0.3387 | 3.0 | 131637 | 0.3240 | 0.8959 | |
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| 0.3322 | 4.0 | 175516 | 0.3194 | 0.8971 | |
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| 0.3279 | 5.0 | 219395 | 0.3164 | 0.8978 | |
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| 0.325 | 6.0 | 263274 | 0.3140 | 0.8985 | |
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| 0.3231 | 7.0 | 307153 | 0.3125 | 0.8989 | |
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| 0.3213 | 8.0 | 351032 | 0.3114 | 0.8992 | |
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| 0.3201 | 9.0 | 394911 | 0.3107 | 0.8994 | |
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| 0.3191 | 10.0 | 438790 | 0.3103 | 0.8995 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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