| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - training_corpus | |
| model-index: | |
| - name: gpt2large-lhm-03 | |
| 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. --> | |
| # gpt2large-lhm-03 | |
| This model was trained from scratch on the training_corpus dataset. | |
| ## 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: 0.00018 | |
| - train_batch_size: 40 | |
| - eval_batch_size: 40 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 2 | |
| - total_train_batch_size: 80 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_steps: 1000 | |
| - num_epochs: 1 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.24.0 | |
| - Pytorch 1.13.1 | |
| - Datasets 2.8.0 | |
| - Tokenizers 0.13.2 | |