license: bsd-3-clause | |
tags: | |
- generated_from_trainer | |
metrics: | |
- rouge | |
model-index: | |
- name: long-t5-tglobal-base-16384-book-summary-finetuned-xsum | |
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. --> | |
# long-t5-tglobal-base-16384-book-summary-finetuned-xsum | |
This model is a fine-tuned version of [pszemraj/long-t5-tglobal-base-16384-book-summary](https://huggingface.co/pszemraj/long-t5-tglobal-base-16384-book-summary) on the None dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 3.7110 | |
- Rouge1: 19.379 | |
- Rouge2: 2.0125 | |
- Rougel: 12.4318 | |
- Rougelsum: 12.4432 | |
- Gen Len: 72.3611 | |
## 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: 0.002 | |
- train_batch_size: 3 | |
- eval_batch_size: 3 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 2 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| | |
| No log | 1.0 | 24 | 3.7825 | 18.6153 | 1.7298 | 12.0792 | 12.0714 | 82.3611 | | |
| No log | 2.0 | 48 | 3.7110 | 19.379 | 2.0125 | 12.4318 | 12.4432 | 72.3611 | | |
### Framework versions | |
- Transformers 4.25.1 | |
- Pytorch 1.13.0+cu116 | |
- Datasets 2.7.1 | |
- Tokenizers 0.13.2 | |