metadata
license: apache-2.0
base_model: distilbert/distilgpt2
tags:
- generated_from_trainer
model-index:
- name: tiny-gpt2-br
results: []
tiny-gpt2-br
This model is a fine-tuned version of distilbert/distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6213
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: 0.001
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 19000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.7274 | 0.21 | 1000 | 4.9308 |
| 4.7191 | 0.42 | 2000 | 4.5347 |
| 4.4579 | 0.63 | 3000 | 4.3432 |
| 4.2769 | 0.84 | 4000 | 4.1893 |
| 4.1086 | 1.05 | 5000 | 4.0861 |
| 3.9327 | 1.26 | 6000 | 3.9992 |
| 3.8812 | 1.47 | 7000 | 3.9216 |
| 3.8298 | 1.68 | 8000 | 3.8648 |
| 3.7785 | 1.89 | 9000 | 3.8126 |
| 3.6099 | 2.1 | 10000 | 3.7931 |
| 3.471 | 2.31 | 11000 | 3.7539 |
| 3.4651 | 2.52 | 12000 | 3.7141 |
| 3.4451 | 2.73 | 13000 | 3.6754 |
| 3.4251 | 2.94 | 14000 | 3.6327 |
| 3.1855 | 3.15 | 15000 | 3.6779 |
| 3.0962 | 3.36 | 16000 | 3.6757 |
| 3.0971 | 3.56 | 17000 | 3.6437 |
| 3.0816 | 3.77 | 18000 | 3.6287 |
| 3.0582 | 3.98 | 19000 | 3.6213 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.0.1+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2