metadata
tags:
- generated_from_trainer
model-index:
- name: Llama-360M
results: []
Llama-360M
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3606
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: 3e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 300
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.3772 | 0.99 | 44 | 8.2600 |
| 7.4813 | 1.99 | 88 | 7.1917 |
| 6.7108 | 2.98 | 132 | 6.4281 |
| 6.0293 | 4.0 | 177 | 5.8969 |
| 5.1002 | 4.99 | 221 | 5.3150 |
| 4.5767 | 5.99 | 265 | 4.8598 |
| 4.3085 | 6.98 | 309 | 4.6251 |
| 4.1028 | 8.0 | 354 | 4.4794 |
| 3.765 | 8.99 | 398 | 4.4287 |
| 3.6087 | 9.99 | 442 | 4.3823 |
| 3.4937 | 10.98 | 486 | 4.3547 |
| 3.2339 | 12.0 | 531 | 4.3534 |
| 3.0636 | 12.99 | 575 | 4.3613 |
| 2.9827 | 13.99 | 619 | 4.3627 |
| 3.0038 | 14.92 | 660 | 4.3606 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0