metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- google/boolq
metrics:
- rouge
base_model: t5-small
model-index:
- name: pal_team_tfq_generation
results:
- task:
type: text2text-generation
name: Sequence-to-sequence Language Modeling
dataset:
name: boolq
type: boolq
config: default
split: validation
args: default
metrics:
- type: rouge
value: 0.3793
name: Rouge1
pal_team_tfq_generation
This model is a fine-tuned version of t5-small on the boolq dataset. It achieves the following results on the evaluation set:
- Loss: 1.8807
- Rouge1: 0.3793
- Rouge2: 0.1737
- Rougel: 0.3534
- Rougelsum: 0.3535
- Gen Len: 12.7453
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: 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.4543 | 1.0 | 1179 | 2.0285 | 0.3608 | 0.1524 | 0.3326 | 0.3326 | 12.3572 |
| 2.2496 | 2.0 | 2358 | 1.9305 | 0.3706 | 0.163 | 0.343 | 0.3432 | 12.7278 |
| 2.1221 | 3.0 | 3537 | 1.8922 | 0.3779 | 0.1725 | 0.3516 | 0.3519 | 12.6859 |
| 2.1428 | 4.0 | 4716 | 1.8807 | 0.3793 | 0.1737 | 0.3534 | 0.3535 | 12.7453 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0