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finetuned-new
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6670
- Rouge1: 23.8339
- Rouge2: 9.629
- Rougel: 20.6248
- Rougelsum: 21.936
- Gen Len: 18.9886
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 50 | 1.8104 | 24.234 | 13.0619 | 21.6635 | 22.7407 | 17.8295 |
| No log | 2.0 | 100 | 1.7152 | 23.8385 | 10.4031 | 20.7556 | 21.8852 | 18.9545 |
| No log | 3.0 | 150 | 1.6795 | 23.6911 | 9.6556 | 20.5848 | 21.8707 | 18.9886 |
| No log | 4.0 | 200 | 1.6670 | 23.8339 | 9.629 | 20.6248 | 21.936 | 18.9886 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.14.3
- Tokenizers 0.13.3
