| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: cs_domain_pretrained_model | |
| 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. --> | |
| # cs_domain_pretrained_model | |
| This model was trained from scratch on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 1.2410 | |
| - eval_runtime: 87.0838 | |
| - eval_samples_per_second: 114.832 | |
| - eval_steps_per_second: 1.803 | |
| - step: 0 | |
| ## 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: 0.0005 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 64 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 64 | |
| - total_train_batch_size: 2048 | |
| - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_ratio: 0.06 | |
| - num_epochs: 1 | |
| ### Framework versions | |
| - Transformers 4.30.2 | |
| - Pytorch 1.13.1+cu117 | |
| - Datasets 2.13.2 | |
| - Tokenizers 0.13.3 | |