| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - NLP-MINI-PROJECT/rabbi_kook | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: mt_5_small_kook_gen_len_20 | |
| results: | |
| - task: | |
| name: Summarization | |
| type: summarization | |
| dataset: | |
| name: NLP-MINI-PROJECT/rabbi_kook | |
| type: NLP-MINI-PROJECT/rabbi_kook | |
| metrics: | |
| - name: Rouge1 | |
| type: rouge | |
| value: 0.0 | |
| <!-- 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. --> | |
| # mt_5_small_kook_gen_len_20 | |
| This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the NLP-MINI-PROJECT/rabbi_kook dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.7678 | |
| - Rouge1: 0.0 | |
| - Rouge2: 0.0 | |
| - Rougel: 0.0 | |
| - Rougelsum: 0.0 | |
| - Gen Len: 47.7155 | |
| ## 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: 2 | |
| - eval_batch_size: 2 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3.0 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.27.0.dev0 | |
| - Pytorch 1.8.1+cu111 | |
| - Datasets 2.9.0 | |
| - Tokenizers 0.11.0 | |