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flan-t5-base_twon-generative-agent
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4169
- Rouge1: 10.2333
- Rouge2: 3.5054
- Rougel: 9.3072
- Rougelsum: 9.5746
- 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: 4e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.8525 | 1.19 | 100 | 3.5675 | 9.3174 | 3.159 | 8.733 | 8.9542 | 19.0 |
| 3.7039 | 2.38 | 200 | 3.5041 | 9.3909 | 2.9968 | 8.7403 | 8.9773 | 19.0 |
| 3.5969 | 3.57 | 300 | 3.4671 | 9.3084 | 2.9709 | 8.5531 | 8.8267 | 19.0 |
| 3.5688 | 4.76 | 400 | 3.4485 | 9.7453 | 3.2357 | 8.9905 | 9.2249 | 19.0 |
| 3.5208 | 5.95 | 500 | 3.4338 | 10.0439 | 3.2804 | 9.2699 | 9.5649 | 19.0 |
| 3.4951 | 7.14 | 600 | 3.4240 | 9.9809 | 3.4881 | 9.1725 | 9.4274 | 19.0 |
| 3.4748 | 8.33 | 700 | 3.4196 | 10.1212 | 3.5683 | 9.2865 | 9.5681 | 19.0 |
| 3.4427 | 9.52 | 800 | 3.4169 | 10.2333 | 3.5054 | 9.3072 | 9.5746 | 19.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.3
- Tokenizers 0.13.3
