my_politics_model
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.4867
- Rouge1: 0.0889
- Rouge2: 0.0071
- Rougel: 0.0709
- Rougelsum: 0.0707
- Gen Len: 19.0
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 22 | 5.2260 | 0.0774 | 0.0032 | 0.0624 | 0.0624 | 19.0 |
| No log | 2.0 | 44 | 4.7072 | 0.0851 | 0.0061 | 0.0683 | 0.0685 | 19.0 |
| No log | 3.0 | 66 | 4.5356 | 0.0897 | 0.0066 | 0.0707 | 0.0707 | 19.0 |
| No log | 4.0 | 88 | 4.4867 | 0.0889 | 0.0071 | 0.0709 | 0.0707 | 19.0 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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