<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
model
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: 1.3753
- Rouge1: 36.5433
- Rouge2: 30.999
- Rougel: 36.5699
- Rougelsum: 36.5459
- Gen Len: 19.0
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 469 | 1.4340 | 36.6097 | 31.0677 | 36.6375 | 36.6304 | 19.0 |
| 1.5464 | 2.0 | 938 | 1.3869 | 36.5788 | 31.0133 | 36.5888 | 36.5877 | 19.0 |
| 1.2698 | 3.0 | 1407 | 1.3753 | 36.5433 | 30.999 | 36.5699 | 36.5459 | 19.0 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
