t5-small-act2pas
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5109
- Rouge1: 84.3715
- Rouge2: 72.1078
- Rougel: 84.2884
- Rougelsum: 84.2975
- Gen Len: 14.2801
- Accuracy Log Reg: 0.7544
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Accuracy Log Reg |
|---|---|---|---|---|---|---|---|---|---|
| 0.5683 | 1.0 | 2615 | 0.5281 | 84.0579 | 71.5636 | 83.9798 | 83.9904 | 14.2664 | 0.7474 |
| 0.5449 | 2.0 | 5230 | 0.5191 | 84.2078 | 71.7956 | 84.1207 | 84.1313 | 14.271 | 0.7496 |
| 0.5343 | 3.0 | 7845 | 0.5142 | 84.3083 | 72.002 | 84.228 | 84.2376 | 14.2794 | 0.753 |
| 0.5219 | 4.0 | 10460 | 0.5117 | 84.3502 | 72.0894 | 84.2692 | 84.2779 | 14.2845 | 0.7526 |
| 0.5179 | 5.0 | 13075 | 0.5109 | 84.3715 | 72.1078 | 84.2884 | 84.2975 | 14.2801 | 0.7544 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1
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