t5_3b_epoch_3_qa
This model is a fine-tuned version of t5-3b on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 0.2233
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2003 | 1.0 | 342 | 0.2233 |
| 0.1331 | 2.0 | 684 | 0.2397 |
| 0.0971 | 3.0 | 1026 | 0.2671 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
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Base model
google-t5/t5-3b