llama-aiphorist
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 3000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 1.5999 | 0.11 | 200 | 1.5902 |
| 1.5361 | 0.23 | 400 | 1.5351 |
| 1.4199 | 0.34 | 600 | 1.4387 |
| 1.3791 | 0.46 | 800 | 1.3631 |
| 1.2768 | 0.57 | 1000 | 1.2918 |
| 1.235 | 0.69 | 1200 | 1.2203 |
| 1.1663 | 0.8 | 1400 | 1.1566 |
| 1.1537 | 0.91 | 1600 | 1.1291 |
| 0.9425 | 1.03 | 1800 | 1.1025 |
| 0.8586 | 1.14 | 2000 | 1.0530 |
| 0.8452 | 1.26 | 2200 | 1.0048 |
| 0.7961 | 1.37 | 2400 | 0.9562 |
| 0.7644 | 1.48 | 2600 | 0.9112 |
| 0.7511 | 1.6 | 2800 | 0.8766 |
| 0.6572 | 1.71 | 3000 | 0.6363 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
