metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-tigger
results: []
flan-t5-small-tigger
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: 2.1549
- Rouge1: 17.5468
- Rouge2: 10.1476
- Rougel: 17.4231
- Rougelsum: 17.4344
- Gen Len: 16.6461
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: 8
- 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 | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.4678 | 1.0 | 1800 | 2.2583 | 19.1824 | 13.4043 | 19.1866 | 19.1587 | 10.7492 |
| 2.3099 | 2.0 | 3600 | 2.1954 | 17.3144 | 10.368 | 17.1994 | 17.2103 | 15.2175 |
| 2.2551 | 3.0 | 5400 | 2.1692 | 17.8406 | 10.6106 | 17.7207 | 17.7554 | 16.9789 |
| 2.2125 | 4.0 | 7200 | 2.1569 | 17.5768 | 10.199 | 17.4462 | 17.4731 | 16.4942 |
| 2.1944 | 5.0 | 9000 | 2.1549 | 17.5468 | 10.1476 | 17.4231 | 17.4344 | 16.6461 |
Framework versions
- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3