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t5-base-finetuned-scitldr
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0232
- Rouge1: 35.2134
- Rouge2: 16.8919
- Rougel: 30.8442
- Rougelsum: 30.9316
- Gen Len: 18.7981
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: 3e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.0533 | 1.0 | 996 | 2.0285 | 34.9774 | 16.6163 | 30.6177 | 30.7038 | 18.7981 |
| 2.0994 | 2.0 | 1992 | 2.0232 | 35.2134 | 16.8919 | 30.8442 | 30.9316 | 18.7981 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0
