flan-t5-qa
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: 1.9501
- Rouge1: 32.6382
- Rouge2: 18.8113
- Rougel: 31.4434
- Rougelsum: 31.55
- Gen Len: 17.333
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: 5
- eval_batch_size: 5
- 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 |
---|---|---|---|---|---|---|---|---|
2.2112 | 1.0 | 2000 | 2.2398 | 31.2944 | 16.8097 | 29.7158 | 29.856 | 17.726 |
1.9424 | 2.0 | 4000 | 2.0614 | 32.2914 | 17.2352 | 30.6559 | 30.7999 | 17.264 |
1.8168 | 3.0 | 6000 | 1.9951 | 32.1343 | 17.6839 | 30.9136 | 31.0279 | 17.385 |
1.7924 | 4.0 | 8000 | 1.9566 | 32.6305 | 18.4737 | 31.4423 | 31.5984 | 17.302 |
1.6977 | 5.0 | 10000 | 1.9501 | 32.6382 | 18.8113 | 31.4434 | 31.55 | 17.333 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
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