metadata
library_name: transformers
license: mit
base_model: microsoft/DialoGPT-small
tags:
- generated_from_trainer
datasets:
- empathetic_dialogues
model-index:
- name: misafetychatbot
results: []
misafetychatbot
This model is a fine-tuned version of microsoft/DialoGPT-small on the empathetic_dialogues dataset. It achieves the following results on the evaluation set:
- Loss: 2.9995
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1961 | 1.0 | 2397 | 3.0838 |
| 3.0583 | 2.0 | 4794 | 3.0121 |
| 2.9961 | 2.9990 | 7188 | 2.9995 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0