metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan2
results: []
flan2
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1112
- Rouge1: 0.8384
- Rouge2: 0.7352
- Rougel: 0.8280
- Rougelsum: 0.8327
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: 0.0003
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 80 | 0.1090 | 0.7947 | 0.6796 | 0.7935 | 0.7899 |
| No log | 2.0 | 160 | 0.1088 | 0.8287 | 0.7261 | 0.8192 | 0.8220 |
| No log | 3.0 | 240 | 0.1112 | 0.8384 | 0.7352 | 0.8280 | 0.8327 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2