dialogsum-flan-t5-small
This model is a fine-tuned version of google/flan-t5-small on an dialogsum dataset. It achieves the following results on the evaluation set:
- Loss: 0.0964
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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|
| 0.3977 | 1.0 | 779 | 0.1042 |
| 0.1331 | 2.0 | 1558 | 0.1020 |
| 0.1245 | 3.0 | 2337 | 0.0981 |
| 0.1183 | 4.0 | 3116 | 0.0977 |
| 0.1134 | 5.0 | 3895 | 0.0980 |
| 0.1091 | 6.0 | 4674 | 0.0977 |
| 0.1052 | 7.0 | 5453 | 0.0966 |
| 0.1023 | 8.0 | 6232 | 0.0961 |
| 0.0998 | 9.0 | 7011 | 0.0965 |
| 0.098 | 10.0 | 7790 | 0.0964 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3