|
|
--- |
|
|
library_name: peft |
|
|
license: other |
|
|
base_model: unsloth/Qwen2.5-3B-Instruct |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- ICEPVP8977/Uncensored_Small_Test_Time_Compute |
|
|
model-index: |
|
|
- name: outputs/mymodel |
|
|
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: `0.8.0.dev0` |
|
|
```yaml |
|
|
adapter: lora |
|
|
base_model: unsloth/Qwen2.5-3B-Instruct |
|
|
bf16: auto |
|
|
dataset_processes: 32 |
|
|
per_device_train_batch_size: 1 |
|
|
datasets: |
|
|
- message_property_mappings: |
|
|
content: content |
|
|
role: role |
|
|
path: ICEPVP8977/Uncensored_Small_Test_Time_Compute |
|
|
type: alpaca |
|
|
trust_remote_code: false |
|
|
gradient_accumulation_steps: 1 |
|
|
gradient_checkpointing: true |
|
|
learning_rate: 0.0002 |
|
|
lisa_layers_attribute: model.layers |
|
|
load_best_model_at_end: false |
|
|
load_in_4bit: true |
|
|
load_in_8bit: false |
|
|
lora_alpha: 16 |
|
|
lora_dropout: 0.05 |
|
|
lora_r: 8 |
|
|
lora_target_modules: |
|
|
- q_proj |
|
|
- v_proj |
|
|
- k_proj |
|
|
- o_proj |
|
|
- gate_proj |
|
|
- down_proj |
|
|
- up_proj |
|
|
loraplus_lr_embedding: 1.0e-06 |
|
|
lr_scheduler: cosine |
|
|
max_prompt_len: 512 |
|
|
mean_resizing_embeddings: false |
|
|
micro_batch_size: 8 |
|
|
num_epochs: 1.0 |
|
|
optimizer: paged_adamw_8bit |
|
|
output_dir: ./outputs/mymodel |
|
|
pretrain_multipack_attn: true |
|
|
pretrain_multipack_buffer_size: 10000 |
|
|
qlora_sharded_model_loading: false |
|
|
ray_num_workers: 1 |
|
|
resources_per_worker: |
|
|
GPU: 1 |
|
|
sample_packing_bin_size: 200 |
|
|
sample_packing_group_size: 100000 |
|
|
save_only_model: false |
|
|
save_safetensors: true |
|
|
sequence_len: 4096 |
|
|
shuffle_merged_datasets: true |
|
|
skip_prepare_dataset: false |
|
|
strict: false |
|
|
train_on_inputs: false |
|
|
trl: |
|
|
log_completions: false |
|
|
ref_model_mixup_alpha: 0.9 |
|
|
ref_model_sync_steps: 64 |
|
|
sync_ref_model: false |
|
|
use_vllm: false |
|
|
vllm_device: auto |
|
|
vllm_dtype: auto |
|
|
vllm_gpu_memory_utilization: 0.9 |
|
|
use_ray: false |
|
|
val_set_size: 0.0 |
|
|
weight_decay: 0.0 |
|
|
|
|
|
``` |
|
|
|
|
|
</details><br> |
|
|
|
|
|
# outputs/mymodel |
|
|
|
|
|
Fine-tuned version of [unsloth/Qwen2.5-3B-Instruct](https://huggingface.co/unsloth/Qwen2.5-3B-Instruct) on the ICEPVP8977/Uncensored_Small_Test_Time_Compute dataset. |
|
|
|
|
|
This lora model will fully uncensor the qwen 2.5 3b model, use alpaca instruction template. |
