metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results_2
results: []
results_2
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6490
- Rouge1: 0.4530
- Rouge2: 0.2185
- Rougel: 0.3802
- Rougelsum: 0.4180
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: 0.001
- train_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|
| 1.9429 | 1.0 | 737 | 1.6596 | 0.4274 | 0.1939 | 0.3583 | 0.3931 |
| 1.753 | 2.0 | 1474 | 1.6199 | 0.4373 | 0.2077 | 0.3693 | 0.4057 |
| 1.4155 | 3.0 | 2211 | 1.6054 | 0.4510 | 0.2129 | 0.3781 | 0.4148 |
| 1.3309 | 4.0 | 2948 | 1.6260 | 0.4520 | 0.2165 | 0.3795 | 0.4176 |
| 1.1438 | 5.0 | 3685 | 1.6490 | 0.4530 | 0.2185 | 0.3802 | 0.4180 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2