dialogsum-flan-t5-base
This model is a fine-tuned version of google/flan-t5-base on an dialogsum dataset. It achieves the following results on the evaluation set:
- Loss: 31.1190
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 33.213 | 1.0 | 1558 | 31.2030 |
| 29.4489 | 2.0 | 3116 | 31.1150 |
| 29.4301 | 3.0 | 4674 | 31.1190 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3