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t5-base-title-generator
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4868
- Rouge1: 0.3081
- Rouge2: 0.1537
- Rougel: 0.2841
- Rougelsum: 0.2852
- Gen Len: 11.9484
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: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|---|---|---|---|
| 2.0744 | 0.12 | 100 | 2.5949 | 0.3025 | 0.15 | 0.2779 | 0.2786 | 12.6474 |
| 2.1587 | 0.23 | 200 | 2.5878 | 0.3063 | 0.1511 | 0.2795 | 0.2804 | 12.3068 |
| 2.1679 | 0.35 | 300 | 2.5843 | 0.3093 | 0.1543 | 0.284 | 0.285 | 12.3002 |
| 2.5576 | 0.47 | 400 | 2.5186 | 0.3032 | 0.1508 | 0.2794 | 0.2805 | 12.3258 |
| 2.6485 | 0.58 | 500 | 2.4981 | 0.3109 | 0.1548 | 0.2863 | 0.2875 | 12.1055 |
| 2.8094 | 0.7 | 600 | 2.4899 | 0.3091 | 0.1543 | 0.2846 | 0.2854 | 11.9767 |
| 2.571 | 0.82 | 700 | 2.4888 | 0.308 | 0.1536 | 0.2836 | 0.2845 | 12.0628 |
| 2.6264 | 0.93 | 800 | 2.4868 | 0.3081 | 0.1537 | 0.2841 | 0.2852 | 11.9484 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
