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: 4.3565
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: 8e-05
- 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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.6049 | 0.21 | 1000 | 5.6029 |
| 5.4429 | 0.42 | 2000 | 5.1985 |
| 5.1379 | 0.63 | 3000 | 4.9480 |
| 4.9697 | 0.84 | 4000 | 4.8117 |
| 4.82 | 1.05 | 5000 | 4.7015 |
| 4.7219 | 1.26 | 6000 | 4.6272 |
| 4.648 | 1.47 | 7000 | 4.5548 |
| 4.6005 | 1.68 | 8000 | 4.5024 |
| 4.5511 | 1.89 | 9000 | 4.4625 |
| 4.4843 | 2.1 | 10000 | 4.4290 |
| 4.4343 | 2.31 | 11000 | 4.4026 |
| 4.4215 | 2.52 | 12000 | 4.3810 |
| 4.4033 | 2.73 | 13000 | 4.3652 |
| 4.3886 | 2.94 | 14000 | 4.3565 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.0.1+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2