metadata
license: apache-2.0
library_name: peft
tags:
- summarization
- generated_from_trainer
datasets:
- cnn_dailymail
metrics:
- rouge
base_model: google/flan-t5-base
model-index:
- name: flan-t5-base-finetuned-QLoRA
results: []
flan-t5-base-finetuned-QLoRA
This model is a fine-tuned version of google/flan-t5-base on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
- Loss: 1.5612
- Rouge1: 0.2459
- Rouge2: 0.1153
- Rougel: 0.1998
- Rougelsum: 0.2294
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 15.0637 | 1.0 | 125 | 14.5380 | 0.2315 | 0.0949 | 0.1776 | 0.2084 |
| 11.8916 | 2.0 | 250 | 11.5849 | 0.2319 | 0.0957 | 0.1818 | 0.2077 |
| 7.8325 | 3.0 | 375 | 5.8491 | 0.2294 | 0.0978 | 0.1839 | 0.2098 |
| 3.6167 | 4.0 | 500 | 2.9519 | 0.2345 | 0.1096 | 0.1915 | 0.2195 |
| 3.0365 | 5.0 | 625 | 2.3695 | 0.2391 | 0.1132 | 0.1964 | 0.2228 |
| 2.7862 | 6.0 | 750 | 1.9609 | 0.2428 | 0.1163 | 0.1981 | 0.2258 |
| 2.5261 | 7.0 | 875 | 1.7701 | 0.2462 | 0.1137 | 0.1979 | 0.2292 |
| 2.3319 | 8.0 | 1000 | 1.6463 | 0.2459 | 0.1142 | 0.1995 | 0.2294 |
| 2.355 | 9.0 | 1125 | 1.5820 | 0.2442 | 0.114 | 0.1998 | 0.2279 |
| 2.323 | 10.0 | 1250 | 1.5612 | 0.2459 | 0.1153 | 0.1998 | 0.2294 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1