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DialoGPT-large-faqs-block-size-128-bs-16-lr-7e-6
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: 2.4362
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-06
- 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 | 4.4791 |
| No log | 2.0 | 80 | 3.7462 |
| No log | 3.0 | 120 | 3.2760 |
| No log | 4.0 | 160 | 3.0066 |
| No log | 5.0 | 200 | 2.8421 |
| No log | 6.0 | 240 | 2.7291 |
| No log | 7.0 | 280 | 2.6535 |
| No log | 8.0 | 320 | 2.5975 |
| No log | 9.0 | 360 | 2.5532 |
| No log | 10.0 | 400 | 2.5265 |
| No log | 11.0 | 440 | 2.4987 |
| No log | 12.0 | 480 | 2.4778 |
| 2.9559 | 13.0 | 520 | 2.4655 |
| 2.9559 | 14.0 | 560 | 2.4553 |
| 2.9559 | 15.0 | 600 | 2.4449 |
| 2.9559 | 16.0 | 640 | 2.4456 |
| 2.9559 | 17.0 | 680 | 2.4389 |
| 2.9559 | 18.0 | 720 | 2.4384 |
| 2.9559 | 19.0 | 760 | 2.4372 |
| 2.9559 | 20.0 | 800 | 2.4362 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4.dev0
- Tokenizers 0.13.3
