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---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- p-tuning
- generated_from_trainer
model-index:
- name: train_codealpacapy_456_1765235666
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# train_codealpacapy_456_1765235666
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the codealpacapy dataset.
It achieves the following results on the evaluation set:
- Loss: 8.1253
- 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: 0.001
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.5233 | 1.0 | 1908 | 0.4729 | 1246832 |
| 0.5393 | 2.0 | 3816 | 0.4684 | 2497936 |
| 0.4665 | 3.0 | 5724 | 0.4608 | 3743760 |
| 0.4402 | 4.0 | 7632 | 0.4560 | 4991472 |
| 1.0149 | 5.0 | 9540 | 0.4551 | 6239608 |
| 0.4209 | 6.0 | 11448 | 0.4515 | 7485248 |
| 0.6452 | 7.0 | 13356 | 0.4506 | 8733024 |
| 0.6306 | 8.0 | 15264 | 0.4495 | 9983720 |
| 0.367 | 9.0 | 17172 | 0.4497 | 11229792 |
| 0.4111 | 10.0 | 19080 | 0.4492 | 12476552 |
| 0.4192 | 11.0 | 20988 | 0.4500 | 13725560 |
| 0.453 | 12.0 | 22896 | 0.4507 | 14977976 |
| 0.4087 | 13.0 | 24804 | 0.4503 | 16225896 |
| 0.5087 | 14.0 | 26712 | 0.4510 | 17477224 |
| 0.4207 | 15.0 | 28620 | 0.4529 | 18726216 |
| 0.3203 | 16.0 | 30528 | 0.4537 | 19973408 |
| 0.3979 | 17.0 | 32436 | 0.4543 | 21226656 |
| 0.4305 | 18.0 | 34344 | 0.4551 | 22472696 |
| 0.4425 | 19.0 | 36252 | 0.4555 | 23722376 |
| 0.7746 | 20.0 | 38160 | 0.4553 | 24973864 |
### Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1 |