metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results
results: []
results
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: 0.8324
- Rouge1: 0.2155
- Rouge2: 0.1170
- Rougel: 0.1827
- Rougelsum: 0.2039
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: 8e-05
- train_batch_size: 8
- 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 17 | 0.9685 | 0.2008 | 0.1092 | 0.1756 | 0.1881 |
| No log | 2.0 | 34 | 1.0002 | 0.1939 | 0.0984 | 0.1655 | 0.1823 |
| No log | 3.0 | 51 | 0.8892 | 0.1916 | 0.1092 | 0.1691 | 0.1829 |
| No log | 4.0 | 68 | 0.8667 | 0.1964 | 0.1076 | 0.1704 | 0.1877 |
| No log | 5.0 | 85 | 0.8601 | 0.2088 | 0.1076 | 0.1764 | 0.1971 |
| No log | 6.0 | 102 | 0.8587 | 0.2105 | 0.1120 | 0.1803 | 0.1997 |
| No log | 7.0 | 119 | 0.8526 | 0.2092 | 0.1105 | 0.1788 | 0.1996 |
| No log | 8.0 | 136 | 0.8432 | 0.2131 | 0.1149 | 0.1809 | 0.2019 |
| No log | 9.0 | 153 | 0.8370 | 0.2155 | 0.1170 | 0.1827 | 0.2039 |
| No log | 10.0 | 170 | 0.8324 | 0.2155 | 0.1170 | 0.1827 | 0.2039 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3