tathyanka-nlq-depositnlending
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0036
- Rouge2 Precision: 0.8506
- Rouge2 Recall: 0.4055
- Rouge2 Fmeasure: 0.5484
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| No log | 1.0 | 332 | 0.0547 | 0.8333 | 0.3957 | 0.5359 |
| 0.6775 | 2.0 | 664 | 0.0132 | 0.8468 | 0.4034 | 0.5456 |
| 0.6775 | 3.0 | 996 | 0.0058 | 0.849 | 0.4047 | 0.5473 |
| 0.0357 | 4.0 | 1328 | 0.0041 | 0.8506 | 0.4055 | 0.5484 |
| 0.0171 | 5.0 | 1660 | 0.0036 | 0.8506 | 0.4055 | 0.5484 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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