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: 3.7456
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.4691 | 1.0 | 3 | 8.2938 |
| 7.3138 | 2.0 | 6 | 7.2507 |
| 6.3593 | 3.0 | 9 | 6.5011 |
| 5.9241 | 4.0 | 12 | 6.1371 |
| 5.3868 | 5.0 | 15 | 5.4600 |
| 4.5288 | 6.0 | 18 | 4.9927 |
| 4.1209 | 7.0 | 21 | 4.6527 |
| 3.9354 | 8.0 | 24 | 4.3246 |
| 3.6035 | 9.0 | 27 | 4.0905 |
| 3.1919 | 10.0 | 30 | 3.8428 |
| 2.9556 | 11.0 | 33 | 3.6960 |
| 2.8387 | 12.0 | 36 | 3.6594 |
| 2.4002 | 13.0 | 39 | 3.5849 |
| 2.3326 | 14.0 | 42 | 3.5220 |
| 1.8688 | 15.0 | 45 | 3.5476 |
| 1.5608 | 16.0 | 48 | 3.5408 |
| 1.2246 | 17.0 | 51 | 3.5744 |
| 0.8367 | 18.0 | 54 | 3.5714 |
| 0.5211 | 19.0 | 57 | 3.5859 |
| 0.4086 | 20.0 | 60 | 3.6011 |
| 0.2747 | 21.0 | 63 | 3.6640 |
| 0.1623 | 22.0 | 66 | 3.6834 |
| 0.1227 | 23.0 | 69 | 3.6675 |
| 0.0901 | 24.0 | 72 | 3.7159 |
| 0.0632 | 25.0 | 75 | 3.7165 |
| 0.0448 | 26.0 | 78 | 3.7104 |
| 0.039 | 27.0 | 81 | 3.7026 |
| 0.0296 | 28.0 | 84 | 3.6959 |
| 0.0269 | 29.0 | 87 | 3.7012 |
| 0.0232 | 30.0 | 90 | 3.7212 |
| 0.0225 | 31.0 | 93 | 3.7328 |
| 0.0214 | 32.0 | 96 | 3.7393 |
| 0.0182 | 33.0 | 99 | 3.7409 |
| 0.0176 | 34.0 | 102 | 3.7432 |
| 0.0175 | 35.0 | 105 | 3.7441 |
| 0.0147 | 36.0 | 108 | 3.7449 |
| 0.0146 | 37.0 | 111 | 3.7453 |
| 0.0172 | 38.0 | 114 | 3.7455 |
| 0.0147 | 39.0 | 117 | 3.7455 |
| 0.0153 | 40.0 | 120 | 3.7456 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0