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petro-twitter-assistant
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: 3.0562
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1263 | 2.3 | 1000 | 3.0679 |
| 2.8236 | 4.6 | 2000 | 3.0305 |
| 2.6661 | 6.9 | 3000 | 3.0411 |
| 2.5905 | 9.2 | 4000 | 3.0562 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0
- Datasets 2.1.0
- Tokenizers 0.12.1
