|
|
--- |
|
|
library_name: peft |
|
|
license: llama3 |
|
|
base_model: meta-llama/Meta-Llama-3-8B-Instruct |
|
|
tags: |
|
|
- llama-factory |
|
|
- lora |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: train_codealpacapy_789_1767671983 |
|
|
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_789_1767671983 |
|
|
|
|
|
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: 0.4672 |
|
|
- Num Input Tokens Seen: 24964664 |
|
|
|
|
|
## 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: 789 |
|
|
- 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 | |
|
|
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:| |
|
|
| 0.5564 | 1.0 | 1908 | 0.4807 | 1246616 | |
|
|
| 0.4493 | 2.0 | 3816 | 0.4716 | 2496088 | |
|
|
| 0.4152 | 3.0 | 5724 | 0.4672 | 3746728 | |
|
|
| 0.5255 | 4.0 | 7632 | 0.4765 | 4999712 | |
|
|
| 0.3558 | 5.0 | 9540 | 0.4921 | 6245072 | |
|
|
| 0.3423 | 6.0 | 11448 | 0.5225 | 7491776 | |
|
|
| 0.2858 | 7.0 | 13356 | 0.5782 | 8735728 | |
|
|
| 0.1743 | 8.0 | 15264 | 0.6423 | 9981168 | |
|
|
| 0.2792 | 9.0 | 17172 | 0.6940 | 11227560 | |
|
|
| 0.1411 | 10.0 | 19080 | 0.8176 | 12474576 | |
|
|
| 0.0857 | 11.0 | 20988 | 0.9275 | 13719896 | |
|
|
| 0.0937 | 12.0 | 22896 | 1.0229 | 14970024 | |
|
|
| 0.0455 | 13.0 | 24804 | 1.1468 | 16222408 | |
|
|
| 0.067 | 14.0 | 26712 | 1.3121 | 17474664 | |
|
|
| 0.011 | 15.0 | 28620 | 1.4060 | 18722440 | |
|
|
| 0.0032 | 16.0 | 30528 | 1.5038 | 19970248 | |
|
|
| 0.0265 | 17.0 | 32436 | 1.5610 | 21217120 | |
|
|
| 0.0115 | 18.0 | 34344 | 1.6360 | 22462808 | |
|
|
| 0.0027 | 19.0 | 36252 | 1.6518 | 23715264 | |
|
|
| 0.0076 | 20.0 | 38160 | 1.6627 | 24964664 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- PEFT 0.15.2 |
|
|
- Transformers 4.51.3 |
|
|
- Pytorch 2.8.0+cu128 |
|
|
- Datasets 3.6.0 |
|
|
- Tokenizers 0.21.1 |
