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: 0.2242
- Rouge1: 0.2012
- Rouge2: 0.1143
- Rougel: 0.1704
- Rougelsum: 0.1885
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 | 5.3687 | 0.1823 | 0.0899 | 0.1478 | 0.1616 |
| No log | 2.0 | 34 | 3.0748 | 0.1903 | 0.0931 | 0.1539 | 0.1741 |
| No log | 3.0 | 51 | 1.5007 | 0.1654 | 0.0620 | 0.1273 | 0.1507 |
| No log | 4.0 | 68 | 0.5415 | 0.1570 | 0.0597 | 0.1153 | 0.1389 |
| No log | 5.0 | 85 | 0.3232 | 0.1538 | 0.0702 | 0.1152 | 0.1377 |
| No log | 6.0 | 102 | 0.2662 | 0.1668 | 0.0704 | 0.1298 | 0.1467 |
| No log | 7.0 | 119 | 0.2379 | 0.1667 | 0.0684 | 0.1283 | 0.1475 |
| No log | 8.0 | 136 | 0.2296 | 0.1865 | 0.0911 | 0.1498 | 0.1720 |
| No log | 9.0 | 153 | 0.2266 | 0.2040 | 0.1084 | 0.1662 | 0.1860 |
| No log | 10.0 | 170 | 0.2238 | 0.2031 | 0.1136 | 0.1689 | 0.1877 |
| No log | 11.0 | 187 | 0.2239 | 0.2012 | 0.1148 | 0.1704 | 0.1885 |
| No log | 11.76 | 200 | 0.2242 | 0.2012 | 0.1143 | 0.1704 | 0.1885 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3