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: 0.8601
- Rouge1: 0.2061
- Rouge2: 0.1141
- Rougel: 0.1781
- Rougelsum: 0.1947
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 | 1.0118 | 0.1983 | 0.1119 | 0.1688 | 0.1818 |
| No log | 2.0 | 34 | 0.9766 | 0.2073 | 0.1290 | 0.1859 | 0.1993 |
| No log | 3.0 | 51 | 0.9211 | 0.2097 | 0.1224 | 0.1853 | 0.1983 |
| No log | 4.0 | 68 | 0.8961 | 0.2122 | 0.1165 | 0.1845 | 0.1991 |
| No log | 5.0 | 85 | 0.8820 | 0.2107 | 0.1192 | 0.1850 | 0.2016 |
| No log | 6.0 | 102 | 0.8734 | 0.2101 | 0.1173 | 0.1817 | 0.1999 |
| No log | 7.0 | 119 | 0.8688 | 0.2056 | 0.1114 | 0.1785 | 0.1920 |
| No log | 8.0 | 136 | 0.8639 | 0.2057 | 0.1135 | 0.1763 | 0.1931 |
| No log | 9.0 | 153 | 0.8615 | 0.2084 | 0.1173 | 0.1799 | 0.1956 |
| No log | 10.0 | 170 | 0.8601 | 0.2061 | 0.1141 | 0.1781 | 0.1947 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3