| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: mt5-small-finetuned-pnsum2 | |
| 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. --> | |
| # mt5-small-finetuned-pnsum2 | |
| This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: nan | |
| - Rouge1: 4.3733 | |
| - Rouge2: 1.0221 | |
| - Rougel: 4.1265 | |
| - Rougelsum: 4.1372 | |
| - Gen Len: 6.2843 | |
| ## 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: 0.0001 | |
| - train_batch_size: 4 | |
| - eval_batch_size: 4 | |
| - 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 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | |
| | 0.0 | 1.0 | 2500 | nan | 4.3733 | 1.0221 | 4.1265 | 4.1372 | 6.2843 | | |
| ### Framework versions | |
| - Transformers 4.16.1 | |
| - Pytorch 1.10.0+cu111 | |
| - Datasets 1.18.2 | |
| - Tokenizers 0.11.0 | |