metadata
tags:
- generated_from_trainer
model-index:
- name: uribe-twitter-assistant-30ep
results: []
widget:
- text: Santos y la Paz
- text: Las Farc son
datasets:
- jhonparra18/alvarouribevel-tweets
language:
- es
uribe-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: 3.3026
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: 22
- eval_batch_size: 22
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 44
- 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 |
|---|---|---|---|
| 3.5124 | 0.89 | 1000 | 3.3424 |
| 3.144 | 1.77 | 2000 | 3.2148 |
| 2.9674 | 2.66 | 3000 | 3.1513 |
| 2.8433 | 3.55 | 4000 | 3.1241 |
| 2.7166 | 4.43 | 5000 | 3.1198 |
| 2.6151 | 5.32 | 6000 | 3.1450 |
| 2.5038 | 6.21 | 7000 | 3.1762 |
| 2.4035 | 7.09 | 8000 | 3.2427 |
| 2.2987 | 7.98 | 9000 | 3.2282 |
| 2.1788 | 8.87 | 10000 | 3.3026 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0
- Datasets 2.1.0
- Tokenizers 0.12.1