metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-asap_t4_f4_prompt_adherence
results: []
flan-t5-small-asap_t4_f4_prompt_adherence
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0597
- Rouge1: 83.822
- Rouge2: 79.5644
- Rougel: 83.8414
- Rougelsum: 83.8601
- Gen Len: 12.1384
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 | 266 | 0.0783 | 82.3137 | 77.2617 | 82.3362 | 82.3581 | 12.1836 |
| 0.4094 | 2.0 | 532 | 0.0676 | 82.9368 | 78.4362 | 82.962 | 82.9633 | 12.1356 |
| 0.4094 | 3.0 | 798 | 0.0571 | 84.7957 | 80.9486 | 84.8665 | 84.8224 | 12.1963 |
| 0.0756 | 4.0 | 1064 | 0.0577 | 84.5562 | 80.4996 | 84.5733 | 84.5457 | 12.1667 |
| 0.0756 | 5.0 | 1330 | 0.0597 | 83.822 | 79.5644 | 83.8414 | 83.8601 | 12.1384 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2