flan-t5-base-sheldon-chat
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5021
- Rouge1: 9.2255
- Rouge2: 1.7498
- Rougel: 8.7322
- Rougelsum: 8.7224
- Gen Len: 13.9771
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: 5e-05
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.0041 | 1.0 | 2902 | 2.7134 | 8.9179 | 1.7759 | 8.4354 | 8.3692 | 13.6702 |
| 2.7806 | 2.0 | 5804 | 2.5558 | 9.4222 | 1.713 | 8.8035 | 8.8291 | 14.9178 |
| 2.6937 | 3.0 | 8706 | 2.5021 | 9.2255 | 1.7498 | 8.7322 | 8.7224 | 13.9771 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.15.2
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Base model
google/flan-t5-base