|
--- |
|
library_name: peft |
|
license: llama3.2 |
|
base_model: meta-llama/Llama-3.2-1B-Instruct |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: peft-starcoder-lora-a100 |
|
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. --> |
|
|
|
# peft-starcoder-lora-a100 |
|
|
|
This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.4134 |
|
|
|
## 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: 0.0005 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- 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_steps: 30 |
|
- training_steps: 2000 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 1.4261 | 0.05 | 100 | 1.3509 | |
|
| 1.3393 | 0.1 | 200 | 1.3586 | |
|
| 1.5034 | 0.15 | 300 | 1.3774 | |
|
| 1.0945 | 0.2 | 400 | 1.3768 | |
|
| 1.3357 | 0.25 | 500 | 1.3915 | |
|
| 1.3062 | 0.3 | 600 | 1.3792 | |
|
| 1.2152 | 0.35 | 700 | 1.3873 | |
|
| 1.269 | 0.4 | 800 | 1.3911 | |
|
| 1.1954 | 0.45 | 900 | 1.3966 | |
|
| 1.1436 | 0.5 | 1000 | 1.3949 | |
|
| 0.9746 | 0.55 | 1100 | 1.3982 | |
|
| 1.2696 | 0.6 | 1200 | 1.4043 | |
|
| 1.0225 | 0.65 | 1300 | 1.4104 | |
|
| 1.1184 | 0.7 | 1400 | 1.4065 | |
|
| 1.212 | 0.75 | 1500 | 1.4089 | |
|
| 1.3207 | 0.8 | 1600 | 1.4102 | |
|
| 1.0669 | 0.85 | 1700 | 1.4143 | |
|
| 1.1501 | 0.9 | 1800 | 1.4133 | |
|
| 1.2002 | 0.95 | 1900 | 1.4128 | |
|
| 1.0119 | 1.0 | 2000 | 1.4134 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.14.0 |
|
- Transformers 4.47.1 |
|
- Pytorch 2.5.1+cu124 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.21.0 |
