metadata
tags:
- generated_from_trainer
model-index:
- name: Baby-Llama-58M-RUN3_5
results: []
Baby-Llama-58M-RUN3_5
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.2656
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: 0.00025
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 287.9659 | 1.0 | 12 | 256.0041 |
| 230.7873 | 2.0 | 24 | 212.6014 |
| 207.1002 | 3.0 | 36 | 180.9384 |
| 121.5561 | 4.0 | 48 | 107.3193 |
| 81.2108 | 5.0 | 60 | 71.6529 |
| 45.9781 | 6.0 | 72 | 40.4501 |
| 24.5986 | 7.0 | 84 | 22.4212 |
| 15.2205 | 8.0 | 96 | 13.7469 |
| 10.1247 | 9.0 | 108 | 9.8119 |
| 7.975 | 10.0 | 120 | 7.8583 |
| 6.7087 | 11.0 | 132 | 7.0360 |
| 6.1988 | 12.0 | 144 | 6.4104 |
| 5.6752 | 13.0 | 156 | 6.1222 |
| 5.5155 | 14.0 | 168 | 5.8179 |
| 4.7754 | 15.0 | 180 | 5.5676 |
| 4.816 | 16.0 | 192 | 5.4583 |
| 4.817 | 17.0 | 204 | 5.3641 |
| 4.6966 | 18.0 | 216 | 5.3147 |
| 4.8322 | 19.0 | 228 | 5.2867 |
| 4.4875 | 20.0 | 240 | 5.2656 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0