| library_name: transformers | |
| license: apache-2.0 | |
| base_model: google/flan-t5-base | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: flan-t5-base-spanish-yoremnokki | |
| 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. --> | |
| # flan-t5-base-spanish-yoremnokki | |
| This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 1.1761 | |
| - eval_bleu: 15.684 | |
| - eval_gen_len: 14.4234 | |
| - eval_runtime: 484.5413 | |
| - eval_samples_per_second: 13.976 | |
| - eval_steps_per_second: 1.748 | |
| - epoch: 5.0 | |
| - step: 8465 | |
| ## 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 | |
| - gradient_accumulation_steps: 2 | |
| - total_train_batch_size: 16 | |
| - 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: 7 | |
| ### Framework versions | |
| - Transformers 4.46.2 | |
| - Pytorch 2.5.1+cu121 | |
| - Datasets 3.1.0 | |
| - Tokenizers 0.20.3 | |