t5base-ILC
This model is a fine-tuned version of google-t5/t5-base on ILC dataset. It achieves the following results on the evaluation set:
- Loss: 3.1984
- Rouge1: 8.381
- Rouge2: 3.916
- Rougel: 7.0243
- Rougelsum: 7.8617
- Gen Len: 18.9833
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 10.5936 | 0.49 | 500 | 4.4985 | 7.204 | 2.8587 | 5.9813 | 6.774 | 18.9665 |
| 3.9459 | 0.97 | 1000 | 3.1984 | 8.381 | 3.916 | 7.0243 | 7.8617 | 18.9833 |
Framework versions
- PEFT 0.8.2
- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Downloads last month
- 0
Model tree for AathifMohammed/t5base
Base model
google-t5/t5-base