results
This model is a fine-tuned version of google/flan-t5-base on the BYC-Sophie/samsum-chatgpt-summary dataset. It achieves the following results on the evaluation set:
- Loss: 1.8634
Model description
Fine-tuned FLAN-T5 on a derivative of the samsum dataset.
Intended uses & limitations
Summarisation of dialogue text.
Training and evaluation data
Fine tuned with the BYC-Sophie/samsum-chatgpt-summary dataset, which has improved summaries generated by ChatGPT.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7323 | 1.0 | 1842 | 1.8218 |
| 1.6814 | 2.0 | 3684 | 1.8469 |
| 1.6481 | 3.0 | 5526 | 1.8574 |
| 1.6333 | 4.0 | 7368 | 1.8634 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Model tree for pogpog/flan-t5-base-samsum-chatgpt-summary-0.2
Base model
google/flan-t5-base