mrcuddle/lumimaid-fusion-12B-lora
<!-- 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"/> <details><summary>See axolotl config</summary>
axolotl version: 0.18.0
adapter: qlora
base_model: mrcuddle/arcee-fusion-lumaid-12B
bf16: false
chat_template: mistral_v2v3
dataloader_num_workers: 2
dataloader_pin_memory: true
dataloader_prefetch_factor: 8
datasets:
- eot_tokens:
- <|im_end|>
field: story
path: bluuwhale/nsfwstory2
split: train
type: completion
embeddings_skip_upcast: true
fp16: true
gradient_accumulation_steps: 1
gradient_checkpointing: true
gradient_checkpointing_kwargs:
use_reentrant: false
learning_rate: 0.00019
load_in_4bit: true
logging_steps: 1
lora_alpha: 64
lora_mlp_kernel: true
lora_o_kernel: true
lora_qkv_kernel: true
lora_r: 32
lora_target_modules:
- q_proj
- k_proj
- v_proj
- o_proj
- gate_proj
- down_proj
- up_proj
lr_scheduler: cosine
max_grad_norm: 0.1
micro_batch_size: 1
num_epochs: 1
optimizer: paged_adamw_8bit
output_dir: ./outputs/qwen-sft-pirate-rrr
plugins:
- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
sample_packing: true
saves_per_epoch: 2
sequence_len: 4096
warmup_steps: 5
xformers_attention: true
</details><br>
<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/> <details><summary>See axolotl config</summary>
axolotl version: 0.18.0
adapter: qlora
base_model: mrcuddle/arcee-fusion-lumaid-12B
bf16: false
chat_template: mistral_v2v3
dataloader_num_workers: 2
dataloader_pin_memory: true
dataloader_prefetch_factor: 8
datasets:
- eot_tokens:
- <|im_end|>
field: story
path: bluuwhale/nsfwstory2
split: train
type: completion
embeddings_skip_upcast: true
fp16: true
gradient_accumulation_steps: 1
gradient_checkpointing: true
gradient_checkpointing_kwargs:
use_reentrant: false
learning_rate: 0.00019
load_in_4bit: true
logging_steps: 1
lora_alpha: 64
lora_mlp_kernel: true
lora_o_kernel: true
lora_qkv_kernel: true
lora_r: 32
lora_target_modules:
- q_proj
- k_proj
- v_proj
- o_proj
- gate_proj
- down_proj
- up_proj
lr_scheduler: cosine
max_grad_norm: 0.1
micro_batch_size: 1
num_epochs: 1
optimizer: paged_adamw_8bit
output_dir: ./outputs/qwen-sft-pirate-rrr
plugins:
- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
sample_packing: true
saves_per_epoch: 2
sequence_len: 4096
warmup_steps: 5
xformers_attention: true
</details><br>
outputs/qwen-sft-pirate-rrr
This model is a fine-tuned version of mrcuddle/arcee-fusion-lumaid-12B on the bluuwhale/nsfwstory2 dataset.
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: 0.00019
- trainbatchsize: 1
- evalbatchsize: 1
- seed: 42
- optimizer: Use OptimizerNames.PAGEDADAMW8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: cosine
- lrschedulerwarmup_steps: 5
- training_steps: 25
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- PEFT 0.19.1
- Transformers 5.14.1
- Pytorch 2.12.1+cu130
- Datasets 4.8.4
- Tokenizers 0.22.2