metadata
license: apache-2.0
base_model: pszemraj/griffin-1024-llama3t-8layer-simplewiki-silu
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: griffin-1024-llama3t-8layer-simplewiki-silu-fineweb-1M_en-med-vN
results: []
griffin-1024-llama3t-8layer-simplewiki-silu-fineweb-1M_en-med-vN
This model is a fine-tuned version of pszemraj/griffin-1024-llama3t-8layer-simplewiki-silu on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.6745
- Accuracy: 0.1884
- Num Input Tokens Seen: 734003200
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: 2
- eval_batch_size: 2
- seed: 80085
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-07
- lr_scheduler_type: inverse_sqrt
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Input Tokens Seen |
|---|---|---|---|---|---|
| 6.4019 | 0.0684 | 400 | 6.7690 | 0.1278 | 52428800 |
| 6.0547 | 0.1368 | 800 | 6.4214 | 0.1460 | 104857600 |
| 5.8133 | 0.2052 | 1200 | 6.2566 | 0.1550 | 157286400 |
| 5.7212 | 0.2736 | 1600 | 6.1411 | 0.1620 | 209715200 |
| 5.6175 | 0.3420 | 2000 | 6.0502 | 0.1669 | 262144000 |
| 5.5014 | 0.4104 | 2400 | 5.9827 | 0.1687 | 314572800 |
| 5.4882 | 0.4788 | 2800 | 5.9203 | 0.1731 | 367001600 |
| 5.3972 | 0.5472 | 3200 | 5.8614 | 0.1782 | 419430400 |
| 5.3983 | 0.6156 | 3600 | 5.8340 | 0.1773 | 471859200 |
| 5.3175 | 0.6840 | 4000 | 5.7916 | 0.1814 | 524288000 |
| 5.3014 | 0.7524 | 4400 | 5.7565 | 0.1814 | 576716800 |
| 5.2749 | 0.8208 | 4800 | 5.7303 | 0.1849 | 629145600 |
| 5.2264 | 0.8892 | 5200 | 5.6993 | 0.1850 | 681574400 |
| 5.2107 | 0.9576 | 5600 | 5.6745 | 0.1884 | 734003200 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1