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petro-twitter-assistant-30ep
This model is a fine-tuned version of flax-community/gpt-2-spanish on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.8837
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: 0.0001
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.123 | 2.3 | 1000 | 3.0761 |
| 2.8048 | 4.6 | 2000 | 3.0394 |
| 2.5904 | 6.9 | 3000 | 3.0743 |
| 2.3804 | 9.2 | 4000 | 3.2378 |
| 2.1736 | 11.49 | 5000 | 3.4025 |
| 1.9736 | 13.79 | 6000 | 3.6284 |
| 1.779 | 16.09 | 7000 | 3.9806 |
| 1.5993 | 18.39 | 8000 | 4.2559 |
| 1.4584 | 20.69 | 9000 | 4.4938 |
| 1.3492 | 22.99 | 10000 | 4.6608 |
| 1.2701 | 25.29 | 11000 | 4.8302 |
| 1.2309 | 27.59 | 12000 | 4.8696 |
| 1.2161 | 29.89 | 13000 | 4.8837 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0
- Datasets 2.1.0
- Tokenizers 0.12.1
