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---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prefix-tuning
- generated_from_trainer
model-index:
- name: train_codealpacapy_1755551519
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_1755551519
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: 4.8186
- Num Input Tokens Seen: 12472912
## 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: 123
- 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: 10.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 8.26 | 0.5 | 954 | 8.4784 | 616992 |
| 7.2055 | 1.0 | 1908 | 6.7617 | 1248304 |
| 5.7336 | 1.5 | 2862 | 6.1830 | 1877040 |
| 5.889 | 2.0 | 3816 | 5.9066 | 2497016 |
| 6.3024 | 2.5 | 4770 | 5.7254 | 3129368 |
| 5.6745 | 3.0 | 5724 | 5.5857 | 3742552 |
| 5.552 | 3.5 | 6678 | 5.4694 | 4361944 |
| 4.9018 | 4.0 | 7632 | 5.3500 | 4985200 |
| 5.0486 | 4.5 | 8586 | 5.2432 | 5611760 |
| 5.3254 | 5.0 | 9540 | 5.1530 | 6233920 |
| 4.9765 | 5.5 | 10494 | 5.0725 | 6849184 |
| 5.0447 | 6.0 | 11448 | 5.0027 | 7478504 |
| 4.4829 | 6.5 | 12402 | 4.9468 | 8083560 |
| 4.8278 | 7.0 | 13356 | 4.9016 | 8722744 |
| 4.4256 | 7.5 | 14310 | 4.8703 | 9345976 |
| 4.8333 | 8.0 | 15264 | 4.8446 | 9977520 |
| 4.065 | 8.5 | 16218 | 4.8296 | 10604656 |
| 5.2516 | 9.0 | 17172 | 4.8221 | 11225416 |
| 4.5529 | 9.5 | 18126 | 4.8194 | 11845704 |
| 4.9849 | 10.0 | 19080 | 4.8186 | 12472912 |
### Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1 |