|
--- |
|
license: apache-2.0 |
|
base_model: google/long-t5-tglobal-xl |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- tau/scrolls |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: longt5_xl_gov_5 |
|
results: |
|
- task: |
|
name: Summarization |
|
type: summarization |
|
dataset: |
|
name: tau/scrolls gov_report |
|
type: tau/scrolls |
|
config: gov_report |
|
split: validation |
|
args: gov_report |
|
metrics: |
|
- name: Rouge1 |
|
type: rouge |
|
value: 54.2522 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# longt5_xl_gov_5 |
|
|
|
This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal-xl) on the tau/scrolls gov_report dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.4141 |
|
- Rouge1: 54.2522 |
|
- Rouge2: 24.7528 |
|
- Rougel: 27.2444 |
|
- Rougelsum: 51.5916 |
|
- Gen Len: 889.25 |
|
|
|
## 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: 0.001 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 128 |
|
- total_train_batch_size: 128 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant |
|
- num_epochs: 5.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:| |
|
| 1.6209 | 1.0 | 136 | 1.5434 | 45.0062 | 18.1618 | 23.3808 | 41.7616 | 904.1996 | |
|
| 1.418 | 1.99 | 272 | 1.4141 | 54.2522 | 24.7528 | 27.2444 | 51.5916 | 889.25 | |
|
| 1.2626 | 3.0 | 409 | 1.4249 | 52.4332 | 23.708 | 27.2902 | 49.8071 | 878.4095 | |
|
| 1.0992 | 4.0 | 545 | 1.4211 | 55.2041 | 26.5229 | 29.9951 | 52.6487 | 670.7047 | |
|
| 0.9974 | 4.99 | 680 | 1.4569 | 55.9961 | 26.2205 | 29.0409 | 53.3109 | 883.0463 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.0.dev0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.13.3 |
|
|
