metadata
license: apache-2.0
base_model: google/long-t5-tglobal-xl
tags:
- generated_from_trainer
datasets:
- learn3r/summ_screen_fd_bp
metrics:
- rouge
model-index:
- name: longt5_xl_summ_screen_bp_10
results:
- task:
name: Summarization
type: summarization
dataset:
name: learn3r/summ_screen_fd_bp
type: learn3r/summ_screen_fd_bp
metrics:
- name: Rouge1
type: rouge
value: 22.9554
longt5_xl_summ_screen_bp_10
This model is a fine-tuned version of google/long-t5-tglobal-xl on the learn3r/summ_screen_fd_bp dataset. It achieves the following results on the evaluation set:
- Loss: 1.3323
- Rouge1: 22.9554
- Rouge2: 6.4509
- Rougel: 19.7437
- Rougelsum: 20.923
- Gen Len: 497.2456
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.4559 | 0.97 | 14 | 2.0707 | 11.7833 | 1.6011 | 11.1858 | 10.3025 | 511.0 |
| 1.6238 | 1.95 | 28 | 1.5287 | 19.0489 | 4.687 | 16.6504 | 17.1808 | 511.0 |
| 1.3964 | 2.99 | 43 | 1.3520 | 21.9994 | 5.8519 | 18.9231 | 19.958 | 511.0 |
| 1.2538 | 3.97 | 57 | 1.3323 | 22.9554 | 6.4509 | 19.7437 | 20.923 | 497.2456 |
| 1.277 | 4.94 | 71 | 1.5462 | 14.6326 | 3.6509 | 12.4805 | 13.5001 | 507.2278 |
| 1.0071 | 5.98 | 86 | 1.3604 | 29.5352 | 9.9544 | 22.1073 | 28.1204 | 429.7722 |
| 0.8685 | 6.96 | 100 | 1.4361 | 31.0337 | 10.6724 | 22.3815 | 29.6325 | 451.7840 |
| 0.7498 | 8.0 | 115 | 1.5302 | 28.433 | 8.4887 | 21.3588 | 26.6817 | 473.8964 |
| 0.6226 | 8.97 | 129 | 1.6289 | 37.251 | 12.8214 | 24.8704 | 36.0027 | 358.7663 |
| 0.5558 | 9.74 | 140 | 1.5811 | 35.4657 | 12.0036 | 24.7787 | 34.3775 | 284.0266 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3