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results
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8033
- Rouge1: 0.1175
- Rouge2: 0.0254
- Rougel: 0.0958
- Rougelsum: 0.1044
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.1342 | 1.0 | 9319 | 2.8865 | 0.1161 | 0.0239 | 0.0942 | 0.1030 |
| 3.0183 | 2.0 | 18638 | 2.8033 | 0.1175 | 0.0254 | 0.0958 | 0.1044 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
