| license: apache-2.0 | |
| library_name: peft | |
| tags: | |
| - generated_from_trainer | |
| base_model: google/bigbird-pegasus-large-bigpatent | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: bigbird_lora_multi_lexsum_bfloat16 | |
| 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. --> | |
| # bigbird_lora_multi_lexsum_bfloat16 | |
| This model is a fine-tuned version of [google/bigbird-pegasus-large-bigpatent](https://huggingface.co/google/bigbird-pegasus-large-bigpatent) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 9.2417 | |
| - Rouge1: 0.1892 | |
| - Rouge2: 0.0164 | |
| - Rougel: 0.1384 | |
| - Rougelsum: 0.1384 | |
| - Gen Len: 214.7444 | |
| ## 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: 2e-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 | |
| - lr_scheduler_warmup_ratio: 0.03 | |
| - num_epochs: 2 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:| | |
| | 9.2381 | 1.0 | 648 | 9.2448 | 0.1912 | 0.0175 | 0.1409 | 0.141 | 225.5222 | | |
| | 9.1638 | 2.0 | 1296 | 9.2417 | 0.1892 | 0.0164 | 0.1384 | 0.1384 | 214.7444 | | |
| ### Framework versions | |
| - PEFT 0.10.0 | |
| - Transformers 4.40.0.dev0 | |
| - Pytorch 2.2.2+cu121 | |
| - Datasets 2.18.0 | |
| - Tokenizers 0.15.2 |