metadata
license: mit
base_model: microsoft/DialoGPT-small
tags:
- generated_from_trainer
model-index:
- name: DialoGPT_EmpAI_smallPrueba2
results: []
DialoGPT_EmpAI_smallPrueba2
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: 2.7999
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
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 483 | 3.5303 |
| 5.2957 | 2.0 | 967 | 3.1013 |
| 3.4534 | 3.0 | 1450 | 2.9551 |
| 3.1442 | 4.0 | 1934 | 2.8904 |
| 3.0052 | 5.0 | 2417 | 2.8491 |
| 2.9176 | 6.0 | 2901 | 2.8253 |
| 2.8624 | 7.0 | 3384 | 2.8110 |
| 2.8284 | 8.0 | 3868 | 2.8027 |
| 2.8079 | 9.0 | 4351 | 2.8005 |
| 2.8005 | 9.99 | 4830 | 2.7999 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2