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: 0.8470
- Rouge1: 0.2057
- Rouge2: 0.1147
- Rougel: 0.1782
- Rougelsum: 0.1958
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
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 17 | 1.2660 | 0.1999 | 0.1058 | 0.1703 | 0.1847 |
| No log | 2.0 | 34 | 1.1230 | 0.2144 | 0.1178 | 0.1823 | 0.2017 |
| No log | 3.0 | 51 | 1.0869 | 0.2106 | 0.1181 | 0.1870 | 0.2010 |
| No log | 4.0 | 68 | 0.9919 | 0.2110 | 0.1205 | 0.1883 | 0.2036 |
| No log | 5.0 | 85 | 1.0286 | 0.2009 | 0.1078 | 0.1749 | 0.1935 |
| No log | 6.0 | 102 | 0.9935 | 0.2042 | 0.1096 | 0.1775 | 0.1958 |
| No log | 7.0 | 119 | 0.9676 | 0.2132 | 0.1231 | 0.1887 | 0.2068 |
| No log | 8.0 | 136 | 0.9297 | 0.2062 | 0.1155 | 0.1824 | 0.1992 |
| No log | 9.0 | 153 | 0.9009 | 0.2101 | 0.1181 | 0.1853 | 0.2027 |
| No log | 10.0 | 170 | 0.8658 | 0.2088 | 0.1179 | 0.1840 | 0.2021 |
| No log | 11.0 | 187 | 0.8495 | 0.2061 | 0.1146 | 0.1791 | 0.1972 |
| No log | 11.76 | 200 | 0.8470 | 0.2057 | 0.1147 | 0.1782 | 0.1958 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3