t5-base-Clakmann-thesis
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7647
- Rouge1: 19.9179
- Rouge2: 6.8159
- Rougel: 18.8425
- Rougelsum: 18.8407
- Gen Len: 14.3685
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.8942 | 1.0 | 5029 | 1.7647 | 19.9179 | 6.8159 | 18.8425 | 18.8407 | 14.3685 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3
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Model tree for Clakmann/t5-base-Clakmann-thesis
Base model
google-t5/t5-base