metadata
license: mit
base_model: microsoft/DialoGPT-large
tags:
- generated_from_trainer
model-index:
- name: DialoGPT-large-faqs-block-size-400-bs-16-lr-1e-05
results: []
DialoGPT-large-faqs-block-size-400-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: 2.6788
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 | 13 | 5.8404 |
| No log | 2.0 | 26 | 5.0890 |
| No log | 3.0 | 39 | 4.6086 |
| No log | 4.0 | 52 | 4.1995 |
| No log | 5.0 | 65 | 3.8393 |
| No log | 6.0 | 78 | 3.5620 |
| No log | 7.0 | 91 | 3.3420 |
| No log | 8.0 | 104 | 3.1838 |
| No log | 9.0 | 117 | 3.0612 |
| No log | 10.0 | 130 | 2.9650 |
| No log | 11.0 | 143 | 2.8926 |
| No log | 12.0 | 156 | 2.8375 |
| No log | 13.0 | 169 | 2.8019 |
| No log | 14.0 | 182 | 2.7654 |
| No log | 15.0 | 195 | 2.7348 |
| No log | 16.0 | 208 | 2.7130 |
| No log | 17.0 | 221 | 2.6977 |
| No log | 18.0 | 234 | 2.6874 |
| No log | 19.0 | 247 | 2.6813 |
| No log | 20.0 | 260 | 2.6788 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4.dev0
- Tokenizers 0.13.3