|
|
--- |
|
|
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_42_1760629239 |
|
|
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_42_1760629239 |
|
|
|
|
|
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: 0.5974 |
|
|
- Num Input Tokens Seen: 22157104 |
|
|
|
|
|
## 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: 1e-05 |
|
|
- train_batch_size: 4 |
|
|
- eval_batch_size: 4 |
|
|
- seed: 42 |
|
|
- 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 | |
|
|
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:| |
|
|
| 0.5308 | 2.0 | 3392 | 0.5023 | 2222792 | |
|
|
| 0.6077 | 4.0 | 6784 | 0.4844 | 4435584 | |
|
|
| 0.4561 | 6.0 | 10176 | 0.4838 | 6643816 | |
|
|
| 0.4409 | 8.0 | 13568 | 0.4914 | 8867608 | |
|
|
| 0.356 | 10.0 | 16960 | 0.5062 | 11077216 | |
|
|
| 0.4671 | 12.0 | 20352 | 0.5286 | 13294344 | |
|
|
| 0.3736 | 14.0 | 23744 | 0.5563 | 15504440 | |
|
|
| 0.4832 | 16.0 | 27136 | 0.5748 | 17721880 | |
|
|
| 0.3324 | 18.0 | 30528 | 0.5915 | 19940536 | |
|
|
| 0.3648 | 20.0 | 33920 | 0.5974 | 22157104 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- PEFT 0.15.2 |
|
|
- Transformers 4.51.3 |
|
|
- Pytorch 2.8.0+cu128 |
|
|
- Datasets 3.6.0 |
|
|
- Tokenizers 0.21.1 |
