| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: t5-base-tag-generation | |
| 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. --> | |
| # t5-base-tag-generation | |
| This model is a fine-tuned version of [fabiochiu/t5-base-tag-generation](https://huggingface.co/fabiochiu/t5-base-tag-generation) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.9747 | |
| - eval_rouge1: 34.3533 | |
| - eval_rouge2: 17.2404 | |
| - eval_rougeL: 32.5248 | |
| - eval_rougeLsum: 32.5145 | |
| - eval_gen_len: 15.583 | |
| - eval_runtime: 329.0338 | |
| - eval_samples_per_second: 3.039 | |
| - eval_steps_per_second: 0.38 | |
| - epoch: 0.23 | |
| - step: 1500 | |
| ## 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: 4e-05 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| - mixed_precision_training: Native AMP | |
| ### Framework versions | |
| - Transformers 4.19.2 | |
| - Pytorch 1.11.0+cu113 | |
| - Datasets 2.2.1 | |
| - Tokenizers 0.12.1 | |