flan-t5-small-insight1
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3722
- Rouge1: 33.8671
- Rouge2: 9.6497
- Rougel: 29.4996
- Rougelsum: 26.5644
- Gen Len: 49.0
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 22 | 3.1389 | 31.9367 | 8.6283 | 28.0168 | 29.6 | 19.0 |
| No log | 2.0 | 44 | 2.7553 | 31.2307 | 8.9241 | 27.4124 | 28.1386 | 19.0 |
| No log | 3.0 | 66 | 2.5353 | 29.2861 | 9.5626 | 26.7167 | 27.2911 | 19.0 |
| No log | 4.0 | 88 | 2.4109 | 30.7062 | 10.5552 | 27.6749 | 28.2265 | 19.0 |
| No log | 5.0 | 110 | 2.3722 | 30.703 | 10.6112 | 27.4196 | 28.0803 | 19.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0