LongT5-Base-NSPCC
This model is a fine-tuned version of google/long-t5-tglobal-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1612
- Rouge1: 0.4604
- Rouge2: 0.1738
- Rougel: 0.2641
- Rougelsum: 0.2648
- Gen Len: 242.1064
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 13.1772 | 1.0 | 12 | 2.8918 | 0.2996 | 0.0788 | 0.1529 | 0.1528 | 359.617 |
| 2.3541 | 2.0 | 24 | 1.2767 | 0.3935 | 0.1207 | 0.1972 | 0.1965 | 340.8298 |
| 1.5574 | 3.0 | 36 | 1.1901 | 0.4486 | 0.1662 | 0.2444 | 0.2444 | 278.3511 |
| 1.439 | 4.0 | 48 | 1.1712 | 0.46 | 0.1746 | 0.2628 | 0.2636 | 254.266 |
| 1.4027 | 5.0 | 60 | 1.1603 | 0.4625 | 0.174 | 0.2619 | 0.2622 | 246.0851 |
| 1.3858 | 6.0 | 72 | 1.1612 | 0.4604 | 0.1738 | 0.2641 | 0.2648 | 242.1064 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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