metadata
license: mit
tags:
- generated_from_trainer
base_model: microsoft/DialoGPT-small
model-index:
- name: dialo_dd_v1
results: []
dialo_dd_v1
This model is a fine-tuned version of microsoft/DialoGPT-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9603
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: 2e-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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5704 | 1.0 | 992 | 3.0275 |
| 3.1202 | 2.0 | 1984 | 2.9738 |
| 3.0285 | 3.0 | 2976 | 2.9603 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1