metadata
license: apache-2.0
base_model: google/long-t5-tglobal-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Word-selector
results: []
Word-selector
This model is a fine-tuned version of google/long-t5-tglobal-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0659
- Rouge1: 0.3077
- Rouge2: 0.0523
- Rougel: 0.2373
- Rougelsum: 0.2375
- Gen Len: 50.2144
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.7905 | 1.0 | 800 | 2.2300 | 0.1838 | 0.0234 | 0.1522 | 0.1525 | 58.5994 |
| 2.3488 | 2.0 | 1600 | 2.1395 | 0.2251 | 0.0339 | 0.1816 | 0.182 | 61.4869 |
| 2.2336 | 3.0 | 2400 | 2.1009 | 0.2553 | 0.0406 | 0.2052 | 0.2053 | 56.9838 |
| 2.1005 | 4.0 | 3200 | 2.0684 | 0.2777 | 0.0452 | 0.2161 | 0.2163 | 54.5738 |
| 2.0007 | 5.0 | 4000 | 2.0559 | 0.2907 | 0.0463 | 0.2247 | 0.2248 | 54.0806 |
| 1.9248 | 6.0 | 4800 | 2.0623 | 0.2981 | 0.0475 | 0.2306 | 0.2308 | 50.3856 |
| 1.8686 | 7.0 | 5600 | 2.0513 | 0.3013 | 0.0508 | 0.2326 | 0.2327 | 53.965 |
| 1.831 | 8.0 | 6400 | 2.0531 | 0.3083 | 0.0517 | 0.2355 | 0.2357 | 51.4162 |
| 1.7752 | 9.0 | 7200 | 2.0623 | 0.3022 | 0.0514 | 0.2326 | 0.2329 | 51.6419 |
| 1.7515 | 10.0 | 8000 | 2.0659 | 0.3077 | 0.0523 | 0.2373 | 0.2375 | 50.2144 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.1+cu121
- Datasets 3.0.1
- Tokenizers 0.15.1