Dataset=team-9/dedup_datasets/deduplicated_github_using_bloomfilter_with_1000k_data, baseline=False, samples=10000, bs=8, epochs=3, lr=5e-05
597cde7 verified | library_name: transformers | |
| license: mit | |
| base_model: gpt2 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: gpt2-finetune-github-bloomfilter-1M-data | |
| 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. --> | |
| # gpt2-finetune-github-bloomfilter-1M-data | |
| This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.2400 | |
| ## 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: 42 | |
| - distributed_type: multi-GPU | |
| - num_devices: 8 | |
| - total_train_batch_size: 64 | |
| - total_eval_batch_size: 64 | |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:-----:|:---------------:| | |
| | 1.3923 | 1.0 | 7219 | 1.3159 | | |
| | 1.3116 | 2.0 | 14438 | 1.2570 | | |
| | 1.2983 | 3.0 | 21657 | 1.2400 | | |
| ### Framework versions | |
| - Transformers 4.51.3 | |
| - Pytorch 2.6.0+cu124 | |
| - Datasets 3.5.0 | |
| - Tokenizers 0.21.1 | |