metadata
license: mit
base_model: microsoft/DialoGPT-large
tags:
- generated_from_trainer
model-index:
- name: DialoGPT-large-faqs-block-size-128-bs-16-lr-5e-5
results: []
DialoGPT-large-faqs-block-size-128-bs-16-lr-5e-5
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: 3.3741
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: 5e-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 | 2.6793 |
| No log | 2.0 | 80 | 2.3038 |
| No log | 3.0 | 120 | 2.2566 |
| No log | 4.0 | 160 | 2.3382 |
| No log | 5.0 | 200 | 2.5499 |
| No log | 6.0 | 240 | 2.6927 |
| No log | 7.0 | 280 | 2.8513 |
| No log | 8.0 | 320 | 2.9774 |
| No log | 9.0 | 360 | 3.0255 |
| No log | 10.0 | 400 | 3.1119 |
| No log | 11.0 | 440 | 3.1643 |
| No log | 12.0 | 480 | 3.2005 |
| 0.9696 | 13.0 | 520 | 3.2673 |
| 0.9696 | 14.0 | 560 | 3.2855 |
| 0.9696 | 15.0 | 600 | 3.3351 |
| 0.9696 | 16.0 | 640 | 3.3462 |
| 0.9696 | 17.0 | 680 | 3.3375 |
| 0.9696 | 18.0 | 720 | 3.3614 |
| 0.9696 | 19.0 | 760 | 3.3648 |
| 0.9696 | 20.0 | 800 | 3.3741 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4.dev0
- Tokenizers 0.13.3