flan-t5-base-pubmed-summarization
This model is a fine-tuned version of google/flan-t5-base on the pubmed-summarization dataset. It achieves the following results on the evaluation set:
- Loss: 1.6534
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8896 | 1.0 | 14991 | 1.7152 |
| 1.8445 | 2.0 | 29982 | 1.6872 |
| 1.8061 | 3.0 | 44973 | 1.6689 |
| 1.7714 | 4.0 | 59964 | 1.6626 |
| 1.7764 | 5.0 | 74955 | 1.6597 |
| 1.7523 | 6.0 | 89946 | 1.6566 |
| 1.752 | 7.0 | 104937 | 1.6545 |
| 1.7281 | 8.0 | 119928 | 1.6538 |
| 1.7523 | 9.0 | 134919 | 1.6534 |
| 1.7439 | 10.0 | 149910 | 1.6534 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Base model
google/flan-t5-base