flan-t5-base-t5flan_finetune_reformat_in_given_manner
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0747
- Rouge1: 80.2225
- Rouge2: 78.7179
- Rougel: 80.1485
- Rougelsum: 80.0451
- Gen Len: 17.3494
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 |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 122 | 0.1377 | 79.3925 | 77.5379 | 79.3692 | 79.2301 | 17.1285 |
| No log | 2.0 | 244 | 0.1028 | 79.4291 | 77.762 | 79.3968 | 79.2743 | 17.1963 |
| No log | 3.0 | 366 | 0.0876 | 79.6022 | 77.9314 | 79.5449 | 79.4189 | 17.2004 |
| No log | 4.0 | 488 | 0.0808 | 79.9295 | 78.3351 | 79.8952 | 79.7778 | 17.2744 |
| 0.2046 | 5.0 | 610 | 0.0747 | 80.2225 | 78.7179 | 80.1485 | 80.0451 | 17.3494 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.14.1
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Model tree for ananttt/flan-t5-base-t5flan_finetune_reformat_in_given_manner
Base model
google/flan-t5-base