| | --- |
| | license: mit |
| | base_model: jarod0411/zinc10M_gpt2-medium_SMILES_step1 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: linker_v2 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # linker_v2 |
| | |
| | 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. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3096 |
| | - Accuracy: 0.8994 |
| | |
| | ## Model description |
| | |
| | More information needed |
| | |
| | ## Intended uses & limitations |
| | |
| | More information needed |
| | |
| | ## Training and evaluation data |
| | |
| | More information needed |
| | |
| | ## Training procedure |
| | |
| | ### Training hyperparameters |
| | |
| | The following hyperparameters were used during training: |
| | - learning_rate: 5e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 1 |
| | - distributed_type: multi-GPU |
| | - num_devices: 8 |
| | - total_train_batch_size: 64 |
| | - total_eval_batch_size: 64 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10.0 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:------:|:---------------:|:--------:| |
| | | 0.3437 | 1.0 | 53844 | 0.3364 | 0.8920 | |
| | | 0.3312 | 2.0 | 107688 | 0.3266 | 0.8947 | |
| | | 0.3244 | 3.0 | 161532 | 0.3213 | 0.8961 | |
| | | 0.32 | 4.0 | 215376 | 0.3178 | 0.8971 | |
| | | 0.3162 | 5.0 | 269220 | 0.3153 | 0.8978 | |
| | | 0.3133 | 6.0 | 323064 | 0.3134 | 0.8983 | |
| | | 0.3113 | 7.0 | 376908 | 0.3120 | 0.8987 | |
| | | 0.3094 | 8.0 | 430752 | 0.3108 | 0.8990 | |
| | | 0.3077 | 9.0 | 484596 | 0.3100 | 0.8993 | |
| | | 0.3072 | 10.0 | 538440 | 0.3096 | 0.8994 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.36.0.dev0 |
| | - Pytorch 2.1.1+cu121 |
| | - Datasets 2.15.0 |
| | - Tokenizers 0.15.0 |
| | |
