|
|
--- |
|
|
library_name: peft |
|
|
license: other |
|
|
base_model: deepseek-ai/deepseek-coder-6.7b-instruct |
|
|
tags: |
|
|
- axolotl |
|
|
- base_model:adapter:deepseek-ai/deepseek-coder-6.7b-instruct |
|
|
- lora |
|
|
- transformers |
|
|
- roblox |
|
|
- luau |
|
|
datasets: |
|
|
- darwinkernelpanic/luau_corpus_axolotl |
|
|
pipeline_tag: text-generation |
|
|
model-index: |
|
|
- name: deepseek-coder-6.7b-instruct-luau |
|
|
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. --> |
|
|
|
|
|
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
|
|
<details><summary>See axolotl config</summary> |
|
|
|
|
|
axolotl version: `0.13.0.dev0` |
|
|
```yaml |
|
|
base_model: deepseek-ai/deepseek-coder-6.7b-instruct |
|
|
hub_model_id: darwinkernelpanic/deepseek-coder-6.7b-instruct-luau |
|
|
hub_strategy: end |
|
|
trust_remote_code: true |
|
|
|
|
|
load_in_8bit: false |
|
|
load_in_4bit: true |
|
|
|
|
|
datasets: |
|
|
- path: darwinkernelpanic/luau_corpus_axolotl |
|
|
type: completion |
|
|
field_instruction: prompt |
|
|
field_output: completion |
|
|
|
|
|
dataset_prepared_path: |
|
|
val_set_size: 0.05 |
|
|
output_dir: ./outputs/deepseek-luau-finetune |
|
|
|
|
|
sequence_len: 3072 |
|
|
sample_packing: true |
|
|
eval_sample_packing: true |
|
|
|
|
|
adapter: qlora |
|
|
lora_model_dir: |
|
|
lora_r: 32 |
|
|
lora_alpha: 32 |
|
|
lora_dropout: 0.05 |
|
|
lora_target_linear: true |
|
|
|
|
|
wandb_project: deepseek-luau-finetune |
|
|
wandb_entity: |
|
|
wandb_watch: |
|
|
wandb_name: deepseek-coder-6.7b-luau |
|
|
wandb_log_model: |
|
|
|
|
|
gradient_accumulation_steps: 2 |
|
|
micro_batch_size: 6 |
|
|
num_epochs: 3 |
|
|
optimizer: adamw_torch_fused |
|
|
lr_scheduler: cosine |
|
|
learning_rate: 0.0002 |
|
|
bf16: auto |
|
|
tf32: true |
|
|
|
|
|
gradient_checkpointing: true |
|
|
gradient_checkpointing_kwargs: |
|
|
use_reentrant: false |
|
|
|
|
|
resume_from_checkpoint: |
|
|
logging_steps: 10 |
|
|
flash_attention: true |
|
|
warmup_ratio: 0.1 |
|
|
evals_per_epoch: 4 |
|
|
saves_per_epoch: 1 |
|
|
weight_decay: 0.01 |
|
|
|
|
|
fsdp: [] |
|
|
fsdp_config: {} |
|
|
|
|
|
special_tokens: |
|
|
pad_token: "<|EOT|>" |
|
|
``` |
|
|
|
|
|
</details><br> |
|
|
|
|
|
# deepseek-coder-6.7b-instruct-luau |
|
|
|
|
|
This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct) on the darwinkernelpanic/luau_corpus_axolotl dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 1.6346 |
|
|
- Ppl: 5.1272 |
|
|
- Memory/max Active (gib): 10.65 |
|
|
- Memory/max Allocated (gib): 10.65 |
|
|
- Memory/device Reserved (gib): 11.93 |
|
|
|
|
|
## Model description |
|
|
|
|
|
The model was fine-tuned on the Roblox/luau_corpus dataset which was converted to have the "prompt" collum replaced by "text" for compatibility reasons. |
|
|
It was fine-tuned for improved knowledge and performance on Luau code (Roblox's Lua dialect, see [luau.org](https://luau.org)), which should end up improving code quality for Luau and Roblox projects. |
|
|
|
|
|
## Intended uses & limitations |
|
|
|
|
|
This model is intended for use within applications that use the Luau programming language, including but not limited to |
|
|
- Roblox projects |
|
|
- Standalone Luau projects (Lune?) |
|
|
|
|
|
It may have limitations for projects that |
|
|
- Use alternative languages |
|
|
- Use Lua |
|
|
- Non programming related projects |
|
|
|
|
|
## Training and evaluation data |
|
|
|
|
|
N/A |
|
|
|
|
|
## Training procedure |
|
|
|
|
|
Trained on 1x RTX 6000Ada |
|
|
|
|
|
### Training hyperparameters |
|
|
|
|
|
The following hyperparameters were used during training: |
|
|
- learning_rate: 0.0002 |
|
|
- train_batch_size: 6 |
|
|
- eval_batch_size: 6 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 2 |
|
|
- total_train_batch_size: 12 |
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 16 |
|
|
- training_steps: 162 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Ppl | Active (gib) | Allocated (gib) | Reserved (gib) | |
|
|
|:-------------:|:------:|:----:|:---------------:|:-------:|:------------:|:---------------:|:--------------:| |
|
|
| No log | 0 | 0 | 3.8515 | 47.0637 | 7.0 | 7.0 | 7.26 | |
|
|
| 3.2644 | 0.2593 | 14 | 2.8645 | 17.5407 | 10.65 | 10.65 | 12.22 | |
|
|
| 2.6242 | 0.5185 | 28 | 2.2633 | 9.6147 | 12.27 | 12.27 | 14.58 | |
|
|
| 2.0431 | 0.7778 | 42 | 2.0479 | 7.7515 | 10.65 | 10.65 | 13.92 | |
|
|
| 1.9054 | 1.0370 | 56 | 1.9163 | 6.796 | 10.65 | 10.65 | 14.72 | |
|
|
| 1.7318 | 1.2963 | 70 | 1.8184 | 6.1622 | 7.61 | 7.61 | 13.92 | |
|
|
| 1.6119 | 1.5556 | 84 | 1.7550 | 5.7836 | 12.27 | 12.27 | 14.54 | |
|
|
| 1.6022 | 1.8148 | 98 | 1.7048 | 5.5006 | 10.65 | 10.65 | 14.23 | |
|
|
| 1.6249 | 2.0741 | 112 | 1.6723 | 5.3242 | 10.65 | 10.65 | 13.99 | |
|
|
| 1.4995 | 2.3333 | 126 | 1.6503 | 5.2088 | 10.65 | 10.65 | 11.93 | |
|
|
| 1.4803 | 2.5926 | 140 | 1.6381 | 5.1452 | 7.61 | 7.61 | 14.58 | |
|
|
| 1.4872 | 2.8519 | 154 | 1.6346 | 5.1272 | 10.65 | 10.65 | 11.93 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- PEFT 0.18.0 |
|
|
- Transformers 4.57.1 |
|
|
- Pytorch 2.8.0+cu128 |
|
|
- Datasets 4.4.1 |
|
|
- Tokenizers 0.22.1 |
