metadata
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-quaso-gen5
results: []
flan-t5-small-quaso-gen5
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5372
- Rouge1: 0.3997
- Rouge2: 0.1592
- Rougel: 0.3248
- Rougelsum: 0.3810
- Gen Len: 42.046
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|---|---|---|---|
| 1.7045 | 1.0 | 34324 | 1.5575 | 0.3936 | 0.1547 | 0.3183 | 0.3749 | 42.0369 |
| 1.6563 | 2.0 | 68648 | 1.5509 | 0.3975 | 0.1561 | 0.3225 | 0.3789 | 42.1242 |
| 1.6622 | 3.0 | 102972 | 1.5440 | 0.3947 | 0.1575 | 0.3210 | 0.3763 | 41.7531 |
| 1.638 | 4.0 | 137296 | 1.5393 | 0.3969 | 0.1575 | 0.3224 | 0.3785 | 41.8038 |
| 1.6222 | 5.0 | 171620 | 1.5372 | 0.3997 | 0.1592 | 0.3248 | 0.3810 | 42.046 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1