library_name, language, license, base_model, tags, model-index
| library_name | language | license | base_model | tags | model-index | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers |
|
apache-2.0 | distilbert/distilgpt2 |
|
|
empathetic-distilgpt2
This model is a fine-tuned version of distilbert/distilgpt2 on the Estwld/empathetic_dialogues_llm dataset. It achieves the following results on the evaluation set:
- Loss: 2.8987
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2