metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
model-index:
- name: dialogsum-flan-t5-small
results: []
dialogsum-flan-t5-small
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1005
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 |
---|---|---|---|
0.3657 | 1.0 | 779 | 0.0933 |
0.0984 | 2.0 | 1558 | 0.0897 |
0.0874 | 3.0 | 2337 | 0.0890 |
0.0787 | 4.0 | 3116 | 0.0890 |
0.0713 | 5.0 | 3895 | 0.0905 |
0.0647 | 6.0 | 4674 | 0.0927 |
0.0591 | 7.0 | 5453 | 0.0932 |
0.0545 | 8.0 | 6232 | 0.0963 |
0.0506 | 9.0 | 7011 | 0.0991 |
0.0478 | 10.0 | 7790 | 0.1005 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3