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DialoGPT-large-faqs-block-size128-bs-16
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: 3.5086
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: 7e-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 | 40 | 2.4979 |
| No log | 2.0 | 80 | 2.2314 |
| No log | 3.0 | 120 | 2.2409 |
| No log | 4.0 | 160 | 2.4555 |
| No log | 5.0 | 200 | 2.7390 |
| No log | 6.0 | 240 | 2.9258 |
| No log | 7.0 | 280 | 3.0355 |
| No log | 8.0 | 320 | 3.1368 |
| No log | 9.0 | 360 | 3.2088 |
| No log | 10.0 | 400 | 3.2541 |
| No log | 11.0 | 440 | 3.3225 |
| No log | 12.0 | 480 | 3.3775 |
| 0.7809 | 13.0 | 520 | 3.4102 |
| 0.7809 | 14.0 | 560 | 3.4456 |
| 0.7809 | 15.0 | 600 | 3.4707 |
| 0.7809 | 16.0 | 640 | 3.4786 |
| 0.7809 | 17.0 | 680 | 3.4868 |
| 0.7809 | 18.0 | 720 | 3.5035 |
| 0.7809 | 19.0 | 760 | 3.5015 |
| 0.7809 | 20.0 | 800 | 3.5086 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4.dev0
- Tokenizers 0.13.3
