flan-t5-large-finetuned-xsum
This model is a fine-tuned version of google/flan-t5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 14.0152
- Rouge2: 6.2802
- Rougel: 13.7963
- Rougelsum: 13.9306
- Gen Len: 6.8696
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 13 | nan | 14.0152 | 6.2802 | 13.7963 | 13.9306 | 6.8696 |
| No log | 2.0 | 26 | nan | 14.0152 | 6.2802 | 13.7963 | 13.9306 | 6.8696 |
| No log | 3.0 | 39 | nan | 14.0152 | 6.2802 | 13.7963 | 13.9306 | 6.8696 |
| No log | 4.0 | 52 | nan | 14.0152 | 6.2802 | 13.7963 | 13.9306 | 6.8696 |
| No log | 5.0 | 65 | nan | 14.0152 | 6.2802 | 13.7963 | 13.9306 | 6.8696 |
| No log | 6.0 | 78 | nan | 14.0152 | 6.2802 | 13.7963 | 13.9306 | 6.8696 |
| No log | 7.0 | 91 | nan | 14.0152 | 6.2802 | 13.7963 | 13.9306 | 6.8696 |
| No log | 8.0 | 104 | nan | 14.0152 | 6.2802 | 13.7963 | 13.9306 | 6.8696 |
| No log | 9.0 | 117 | nan | 14.0152 | 6.2802 | 13.7963 | 13.9306 | 6.8696 |
| No log | 10.0 | 130 | nan | 14.0152 | 6.2802 | 13.7963 | 13.9306 | 6.8696 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3