t5_3b_epoch_10
This model is a fine-tuned version of t5-3b on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.0960
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: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.147 | 1.0 | 342 | 1.0960 |
| 0.9928 | 2.0 | 684 | 1.1021 |
| 0.861 | 3.0 | 1026 | 1.1422 |
| 0.7545 | 4.0 | 1368 | 1.2032 |
| 0.6504 | 5.0 | 1710 | 1.2719 |
| 0.5708 | 6.0 | 2053 | 1.3405 |
| 0.5077 | 7.0 | 2395 | 1.4169 |
| 0.452 | 8.0 | 2737 | 1.4925 |
| 0.4063 | 9.0 | 3079 | 1.5488 |
| 0.3863 | 9.99 | 3420 | 1.5926 |
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