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T5-as-chat-bot
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2717
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 187 | 2.4258 |
| No log | 2.0 | 374 | 2.3627 |
| 2.5802 | 3.0 | 561 | 2.3284 |
| 2.5802 | 4.0 | 748 | 2.3109 |
| 2.5802 | 5.0 | 935 | 2.2958 |
| 2.3212 | 6.0 | 1122 | 2.2850 |
| 2.3212 | 7.0 | 1309 | 2.2779 |
| 2.3212 | 8.0 | 1496 | 2.2726 |
| 2.1892 | 9.0 | 1683 | 2.2703 |
| 2.1892 | 10.0 | 1870 | 2.2689 |
| 2.111 | 11.0 | 2057 | 2.2683 |
| 2.111 | 12.0 | 2244 | 2.2672 |
| 2.111 | 13.0 | 2431 | 2.2655 |
| 2.0484 | 14.0 | 2618 | 2.2685 |
| 2.0484 | 15.0 | 2805 | 2.2703 |
| 2.0484 | 16.0 | 2992 | 2.2698 |
| 2.0019 | 17.0 | 3179 | 2.2699 |
| 2.0019 | 18.0 | 3366 | 2.2715 |
| 1.9803 | 19.0 | 3553 | 2.2719 |
| 1.9803 | 20.0 | 3740 | 2.2717 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
