| license: apache-2.0 | |
| tags: | |
| - simplification | |
| - generated_from_trainer | |
| metrics: | |
| - sacrebleu | |
| model-index: | |
| - name: flan-t5-base-finetuned-pwkp | |
| 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-finetuned-pwkp | |
| 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: | |
| - Loss: 0.9315 | |
| - Sacrebleu: 41.2105 | |
| ## 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: 5.6e-05 | |
| - train_batch_size: 30 | |
| - eval_batch_size: 30 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 4 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Sacrebleu | | |
| |:-------------:|:-----:|:-----:|:---------------:|:---------:| | |
| | 1.0683 | 1.0 | 3421 | 0.9984 | 40.9399 | | |
| | 0.9748 | 2.0 | 6842 | 0.9584 | 41.0858 | | |
| | 0.9279 | 3.0 | 10263 | 0.9433 | 41.1863 | | |
| | 0.9025 | 4.0 | 13684 | 0.9315 | 41.2105 | | |
| ### Framework versions | |
| - Transformers 4.25.1 | |
| - Pytorch 1.13.0+cu116 | |
| - Datasets 2.8.0 | |
| - Tokenizers 0.13.2 | |