FLAN-T5-Base-Finetune-Remarks
This model is a fine-tuned version of google/flan-t5-base on Report Remarks dataset. It achieves the following results on the evaluation set:
- Loss: 0.7651
- Rouge1: 40.7065
- Rouge2: 22.2783
- Rougel: 34.3087
- Rougelsum: 34.3031
- Gen Len: 19.0
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.1215 | 1.0 | 1212 | 0.8802 | 39.125 | 19.456 | 32.7394 | 32.7269 | 19.0 |
| 0.9791 | 2.0 | 2424 | 0.8018 | 40.5473 | 21.5742 | 34.193 | 34.1905 | 19.0 |
| 0.9085 | 3.0 | 3636 | 0.7728 | 40.3545 | 21.7619 | 33.8864 | 33.8738 | 19.0 |
| 0.8884 | 4.0 | 4848 | 0.7651 | 40.7065 | 22.2783 | 34.3087 | 34.3031 | 19.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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Base model
google/flan-t5-base