<!-- 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. -->
flan-t5-base-v3-edos_labelled_aggregated
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: 0.0663
- Rouge1: 95.8792
- Rouge2: 71.25
- Rougel: 95.875
- Rougelsum: 95.8792
- Gen Len: 4.7903
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0822 | 1.0 | 1750 | 0.0688 | 95.8375 | 71.9 | 95.8417 | 95.8333 | 4.805 |
| 0.0663 | 2.0 | 3500 | 0.0663 | 95.8792 | 71.25 | 95.875 | 95.8792 | 4.7903 |
| 0.0536 | 3.0 | 5250 | 0.0764 | 95.65 | 69.3 | 95.65 | 95.6667 | 4.758 |
| 0.0486 | 4.0 | 7000 | 0.0849 | 95.8333 | 69.925 | 95.8167 | 95.8333 | 4.7657 |
| 0.0467 | 5.0 | 8750 | 0.0946 | 95.825 | 69.8 | 95.8083 | 95.825 | 4.7635 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
