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_f0_pa
results: []
flan-t5-small-asap_t3_f0_pa
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: 0.0564
- Rouge1: 83.5868
- Rouge2: 79.2034
- Rougel: 83.6443
- Rougelsum: 83.6385
- Gen Len: 12.0478
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 | 0.0883 | 78.5864 | 72.6388 | 78.5689 | 78.5751 | 12.0072 |
| 0.3997 | 2.0 | 518 | 0.0670 | 82.2729 | 77.3733 | 82.2731 | 82.3003 | 12.0232 |
| 0.3997 | 3.0 | 777 | 0.0580 | 83.4593 | 78.9471 | 83.5089 | 83.5189 | 12.0464 |
| 0.0732 | 4.0 | 1036 | 0.0570 | 83.5601 | 79.1687 | 83.5758 | 83.5695 | 12.0551 |
| 0.0732 | 5.0 | 1295 | 0.0564 | 83.5868 | 79.2034 | 83.6443 | 83.6385 | 12.0478 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2