metadata
license: apache-2.0
base_model: google/flan-t5-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-large-mawpnli-calcx-pt
results: []
flan-t5-large-mawpnli-calcx-pt
This model is a fine-tuned version of google/flan-t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1463
- Rouge1: 95.656
- Rouge2: 88.9634
- Rougel: 95.5287
- Rougelsum: 95.5315
- Gen Len: 12.6808
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: 5e-05
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 426 | 0.1577 | 94.7455 | 86.4792 | 94.3396 | 94.3571 | 12.5962 |
| 0.2457 | 2.0 | 852 | 0.1341 | 95.3972 | 88.4764 | 95.1413 | 95.1511 | 12.7207 |
| 0.0797 | 3.0 | 1278 | 0.1313 | 95.4361 | 88.078 | 95.221 | 95.2056 | 12.5692 |
| 0.0573 | 4.0 | 1704 | 0.1483 | 95.3949 | 88.188 | 95.1917 | 95.2055 | 12.5974 |
| 0.0404 | 5.0 | 2130 | 0.1463 | 95.656 | 88.9634 | 95.5287 | 95.5315 | 12.6808 |
Framework versions
- Transformers 4.35.2
- Pytorch 1.12.1+cu113
- Datasets 2.15.0
- Tokenizers 0.15.0