t5-base-finetuned-scitldr_param2
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1205
- Rouge1: 23.543
- Rouge2: 10.3655
- Rougel: 19.6492
- Rougelsum: 20.8429
- Gen Len: 18.9822
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.98 | 1.0 | 996 | 3.1319 | 23.1445 | 10.0902 | 19.3585 | 20.4683 | 18.9758 |
| 1.9833 | 2.0 | 1992 | 3.1284 | 23.6157 | 10.3862 | 19.7155 | 20.8825 | 18.9822 |
| 1.9078 | 3.0 | 2988 | 3.1219 | 23.7444 | 10.5443 | 19.8405 | 21.0207 | 18.9774 |
| 1.907 | 4.0 | 3984 | 3.1199 | 23.6053 | 10.414 | 19.7221 | 20.9581 | 18.9822 |
| 1.8561 | 5.0 | 4980 | 3.1205 | 23.543 | 10.3655 | 19.6492 | 20.8429 | 18.9822 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for witchling22/t5-base-finetuned-scitldr_param2
Base model
google-t5/t5-base