metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-asap_t3_f3_prompt_adherence
results: []
flan-t5-small-asap_t3_f3_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: 0.0646
- Rouge1: 81.612
- Rouge2: 76.5567
- Rougel: 81.6114
- Rougelsum: 81.6406
- Gen Len: 12.0551
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 | 259 | 0.0792 | 80.0007 | 74.6342 | 79.9732 | 79.9587 | 12.0304 |
| 0.4002 | 2.0 | 518 | 0.0635 | 81.5641 | 76.5846 | 81.5448 | 81.5698 | 12.0551 |
| 0.4002 | 3.0 | 777 | 0.0609 | 82.0909 | 77.2267 | 82.0977 | 82.1122 | 12.0551 |
| 0.0715 | 4.0 | 1036 | 0.0658 | 81.5591 | 76.4851 | 81.552 | 81.5761 | 12.0580 |
| 0.0715 | 5.0 | 1295 | 0.0646 | 81.612 | 76.5567 | 81.6114 | 81.6406 | 12.0551 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2