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_f2_prompt_adherence
results: []
flan-t5-small-asap_t3_f2_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: 0.0625
- Rouge1: 82.0051
- Rouge2: 77.1041
- Rougel: 81.9898
- Rougelsum: 81.9754
- Gen Len: 12.0580
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 | 0.0796 | 79.5698 | 74.2362 | 79.5637 | 79.5651 | 12.0333 |
| 0.4061 | 2.0 | 518 | 0.0661 | 81.7224 | 76.8264 | 81.7266 | 81.7555 | 12.0493 |
| 0.4061 | 3.0 | 777 | 0.0606 | 81.5783 | 76.5064 | 81.5455 | 81.5755 | 12.0580 |
| 0.0715 | 4.0 | 1036 | 0.0634 | 81.9213 | 77.0935 | 81.9101 | 81.9339 | 12.0551 |
| 0.0715 | 5.0 | 1295 | 0.0625 | 82.0051 | 77.1041 | 81.9898 | 81.9754 | 12.0580 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2