| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: m2m-tai-en-de-gen-1.2B-1k-steps | |
| 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. --> | |
| # m2m-tai-en-de-gen-1.2B-1k-steps | |
| This model was trained from scratch on an unknown 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: 5e-05 | |
| - train_batch_size: 4 | |
| - eval_batch_size: 4 | |
| - seed: 42 | |
| - distributed_type: multi-GPU | |
| - num_devices: 8 | |
| - gradient_accumulation_steps: 2 | |
| - total_train_batch_size: 64 | |
| - total_eval_batch_size: 32 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3.0 | |
| ### Framework versions | |
| - Transformers 4.16.2 | |
| - Pytorch 1.11.0a0+bfe5ad2 | |
| - Datasets 1.18.3 | |
| - Tokenizers 0.11.0 | |