| license: apache-2.0 | |
| base_model: ckandemir/solidity-generator | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: finetuned_sol | |
| 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. --> | |
| # finetuned_sol | |
| This model is a fine-tuned version of [ckandemir/solidity-generator](https://huggingface.co/ckandemir/solidity-generator) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.2695 | |
| ## 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: 7e-05 | |
| - train_batch_size: 26 | |
| - eval_batch_size: 26 | |
| - seed: 100 | |
| - distributed_type: multi-GPU | |
| - num_devices: 4 | |
| - total_train_batch_size: 104 | |
| - total_eval_batch_size: 104 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 4 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:------:|:---------------:| | |
| | 0.3698 | 1.0 | 33010 | 0.3371 | | |
| | 0.3292 | 2.0 | 66020 | 0.2977 | | |
| | 0.3067 | 3.0 | 99030 | 0.2782 | | |
| | 0.2956 | 4.0 | 132040 | 0.2695 | | |
| ### Framework versions | |
| - Transformers 4.33.0 | |
| - Pytorch 2.1.0+cu121 | |
| - Datasets 2.14.7 | |
| - Tokenizers 0.13.3 | |