FLAN-T5-Base-Finetune-Remarks-Bar
This model is a fine-tuned version of google/flan-t5-base on individual remarks dataset. It achieves the following results on the evaluation set:
- Loss: 0.6775
- Rouge1: 38.4803
- Rouge2: 22.0178
- Rougel: 31.4848
- Rougelsum: 31.4757
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.9766 | 1.0 | 1125 | 0.7627 | 38.7818 | 21.7574 | 31.4008 | 31.3835 | 19.0 |
| 0.864 | 2.0 | 2250 | 0.7055 | 38.2489 | 21.7373 | 31.1157 | 31.1052 | 19.0 |
| 0.8192 | 3.0 | 3375 | 0.6831 | 38.7844 | 22.1673 | 31.5798 | 31.5805 | 19.0 |
| 0.7974 | 4.0 | 4500 | 0.6775 | 38.4803 | 22.0178 | 31.4848 | 31.4757 | 19.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1
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Base model
google/flan-t5-base