metadata
license: mit
base_model: microsoft/DialoGPT-small
tags:
- generated_from_trainer
model-index:
- name: DialoGPT_EmpAI_final2
results: []
DialoGPT_EmpAI_final2
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: 3.0097
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.5766 | 1.0 | 1500 | 3.9055 |
| 3.6326 | 2.0 | 3000 | 3.3553 |
| 3.3738 | 3.0 | 4500 | 3.1776 |
| 3.2193 | 4.0 | 6000 | 3.0785 |
| 3.1067 | 5.0 | 7500 | 3.0097 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2