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DialoGPT-large-faqs-block-size-64-bs-16-lr-1e-05
This model is a fine-tuned version of microsoft/DialoGPT-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7013
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: 1e-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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 81 | 3.6517 |
| No log | 2.0 | 162 | 2.9681 |
| No log | 3.0 | 243 | 2.7276 |
| No log | 4.0 | 324 | 2.6117 |
| No log | 5.0 | 405 | 2.5552 |
| No log | 6.0 | 486 | 2.5121 |
| 2.8918 | 7.0 | 567 | 2.4886 |
| 2.8918 | 8.0 | 648 | 2.4982 |
| 2.8918 | 9.0 | 729 | 2.4839 |
| 2.8918 | 10.0 | 810 | 2.5141 |
| 2.8918 | 11.0 | 891 | 2.5546 |
| 2.8918 | 12.0 | 972 | 2.5802 |
| 1.4641 | 13.0 | 1053 | 2.6159 |
| 1.4641 | 14.0 | 1134 | 2.6419 |
| 1.4641 | 15.0 | 1215 | 2.6417 |
| 1.4641 | 16.0 | 1296 | 2.6639 |
| 1.4641 | 17.0 | 1377 | 2.6681 |
| 1.4641 | 18.0 | 1458 | 2.6862 |
| 1.0613 | 19.0 | 1539 | 2.7011 |
| 1.0613 | 20.0 | 1620 | 2.7013 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4.dev0
- Tokenizers 0.13.3
