metadata
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- lntuning
- generated_from_trainer
model-index:
- name: train_codealpacapy_456_1765320135
results: []
train_codealpacapy_456_1765320135
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the codealpacapy dataset. It achieves the following results on the evaluation set:
- Loss: 0.4469
- Num Input Tokens Seen: 24973864
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 456
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| 0.6003 | 1.0 | 1908 | 0.5420 | 1246832 |
| 0.562 | 2.0 | 3816 | 0.4901 | 2497936 |
| 0.4684 | 3.0 | 5724 | 0.4709 | 3743760 |
| 0.4606 | 4.0 | 7632 | 0.4625 | 4991472 |
| 1.1977 | 5.0 | 9540 | 0.4581 | 6239608 |
| 0.4325 | 6.0 | 11448 | 0.4543 | 7485248 |
| 0.6624 | 7.0 | 13356 | 0.4522 | 8733024 |
| 0.6294 | 8.0 | 15264 | 0.4506 | 9983720 |
| 0.3541 | 9.0 | 17172 | 0.4490 | 11229792 |
| 0.3995 | 10.0 | 19080 | 0.4484 | 12476552 |
| 0.4189 | 11.0 | 20988 | 0.4486 | 13725560 |
| 0.4387 | 12.0 | 22896 | 0.4477 | 14977976 |
| 0.4162 | 13.0 | 24804 | 0.4474 | 16225896 |
| 0.4816 | 14.0 | 26712 | 0.4473 | 17477224 |
| 0.4314 | 15.0 | 28620 | 0.4472 | 18726216 |
| 0.316 | 16.0 | 30528 | 0.4469 | 19973408 |
| 0.3909 | 17.0 | 32436 | 0.4470 | 21226656 |
| 0.4489 | 18.0 | 34344 | 0.4469 | 22472696 |
| 0.4458 | 19.0 | 36252 | 0.4472 | 23722376 |
| 0.7972 | 20.0 | 38160 | 0.4471 | 24973864 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1