metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: flan-t5-small-en-simplif
results: []
flan-t5-small-en-simplif
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: 1.0235
- Rouge1: 37.4861
- Rouge2: 24.6089
- Rougel: 36.9311
- Rougelsum: 37.0089
- Gen Len: 18.2196
- Bleu: 6.4559
- Corpus Bleu: 1.7137
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: 2
- eval_batch_size: 2
- 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 | Bleu | Corpus Bleu |
|---|---|---|---|---|---|---|---|---|---|---|
| 1.591 | 1.0 | 836 | 1.2587 | 36.4802 | 23.5099 | 35.8961 | 35.9879 | 18.2100 | 5.6488 | 1.6728 |
| 1.2642 | 2.0 | 1672 | 1.1112 | 37.0889 | 24.1259 | 36.5258 | 36.6133 | 18.2148 | 5.7688 | 1.7062 |
| 1.1999 | 3.0 | 2508 | 1.0687 | 37.5481 | 24.737 | 36.995 | 37.0752 | 18.2148 | 6.5724 | 1.75 |
| 1.1533 | 4.0 | 3344 | 1.0338 | 37.4724 | 24.5806 | 36.8996 | 36.9784 | 18.2196 | 6.4559 | 1.7049 |
| 1.1067 | 5.0 | 4180 | 1.0235 | 37.4861 | 24.6089 | 36.9311 | 37.0089 | 18.2196 | 6.4559 | 1.7137 |
Framework versions
- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1