metadata
license: apache-2.0
library_name: peft
tags:
- summarization
- generated_from_trainer
datasets:
- gov_report_summarization_dataset
metrics:
- rouge
base_model: google/flan-t5-base
model-index:
- name: flan-t5-base-finetuned-govReport-3072
results: []
flan-t5-base-finetuned-govReport-3072
This model is a fine-tuned version of google/flan-t5-base on the gov_report_summarization_dataset dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.042
- Rouge2: 0.0216
- Rougel: 0.0379
- Rougelsum: 0.0406
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 250 | nan | 0.042 | 0.0216 | 0.0379 | 0.0406 |
| 0.0 | 2.0 | 500 | nan | 0.042 | 0.0216 | 0.0379 | 0.0406 |
| 0.0 | 3.0 | 750 | nan | 0.042 | 0.0216 | 0.0379 | 0.0406 |
| 0.0 | 4.0 | 1000 | nan | 0.042 | 0.0216 | 0.0379 | 0.0406 |
| 0.0 | 5.0 | 1250 | nan | 0.042 | 0.0216 | 0.0379 | 0.0406 |
| 0.0 | 6.0 | 1500 | nan | 0.042 | 0.0216 | 0.0379 | 0.0406 |
| 0.0 | 7.0 | 1750 | nan | 0.042 | 0.0216 | 0.0379 | 0.0406 |
| 0.0 | 8.0 | 2000 | nan | 0.042 | 0.0216 | 0.0379 | 0.0406 |
| 0.0 | 9.0 | 2250 | nan | 0.042 | 0.0216 | 0.0379 | 0.0406 |
| 0.0 | 10.0 | 2500 | nan | 0.042 | 0.0216 | 0.0379 | 0.0406 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1