metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: t5-small-squad-qg
results: []
t5-small-squad-qg
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1731
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4623 | 0.37 | 500 | 2.3734 |
| 2.4617 | 0.73 | 1000 | 2.2860 |
| 2.3629 | 1.1 | 1500 | 2.2450 |
| 2.2836 | 1.46 | 2000 | 2.2154 |
| 2.2393 | 1.83 | 2500 | 2.1966 |
| 2.2242 | 2.19 | 3000 | 2.1849 |
| 2.2134 | 2.56 | 3500 | 2.1760 |
| 2.2058 | 2.92 | 4000 | 2.1731 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.13.1
- Tokenizers 0.15.2