| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - bleu | |
| model-index: | |
| - name: mt0_1024_gen512 | |
| 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. --> | |
| # mt0_1024_gen512 | |
| This model is a fine-tuned version of [bigscience/mt0-base](https://huggingface.co/bigscience/mt0-base) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.7265 | |
| - Rouge-1: 0.2865 | |
| - Rouge-2: 0.1626 | |
| - Rouge-4: 0.0962 | |
| - Rouge-l: 0.2528 | |
| - Rouge-w-1.2: 0.1 | |
| - Rouge-s4: 0.128 | |
| - Rouge-su4: 0.1553 | |
| - R: 0.2153 | |
| - P: 0.428 | |
| - Bleu: 11.0526 | |
| ## 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: 1e-05 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.26.1 | |
| - Pytorch 2.0.0 | |
| - Datasets 2.1.0 | |
| - Tokenizers 0.13.3 | |