| --- |
| library_name: peft |
| base_model: hardlyworking/Broth-12B |
| tags: |
| - axolotl |
| - generated_from_trainer |
| datasets: |
| - PocketDoc/Dans-MemoryCore-CoreCurriculum-Small |
| - NewEden/Kalo-Opus-Instruct-22k-Refusal-Murdered |
| - Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned |
| - Nitral-AI/Reasoning-1shot_ShareGPT |
| - Nitral-AI/GU_Instruct-ShareGPT |
| - Nitral-AI/Medical_Instruct-ShareGPT |
| - AquaV/Resistance-Sharegpt |
| - AquaV/US-Army-Survival-Sharegpt |
| - Gryphe/Sonnet3.5-SlimOrcaDedupCleaned |
| model-index: |
| - name: Noodles-12B |
| 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` |
| ```yaml |
| ## model |
| base_model: hardlyworking/Broth-12B |
| model_type: AutoModelForCausalLM |
| tokenizer_type: AutoTokenizer |
| ## upload |
| hub_model_id: hardlyworking/Noodles-12B |
| hub_strategy: "all_checkpoints" |
| push_dataset_to_hub: |
| hf_use_auth_token: true |
| ## qlora COPE |
| load_in_8bit: false |
| load_in_4bit: false |
| strict: false |
| |
| ## data |
| datasets: |
| - path: PocketDoc/Dans-MemoryCore-CoreCurriculum-Small |
| type: dan-chat-advanced |
| - path: NewEden/Kalo-Opus-Instruct-22k-Refusal-Murdered |
| type: dan-chat-advanced |
| - path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned |
| type: dan-chat-advanced |
| - path: Nitral-AI/Reasoning-1shot_ShareGPT |
| type: dan-chat-advanced |
| - path: Nitral-AI/GU_Instruct-ShareGPT |
| type: dan-chat-advanced |
| - path: Nitral-AI/Medical_Instruct-ShareGPT |
| type: dan-chat-advanced |
| - path: AquaV/Resistance-Sharegpt |
| type: dan-chat-advanced |
| - path: AquaV/US-Army-Survival-Sharegpt |
| type: dan-chat-advanced |
| - path: Gryphe/Sonnet3.5-SlimOrcaDedupCleaned |
| type: dan-chat-advanced |
| |
| shuffle_merged_datasets: true |
| dataset_prepared_path: dataset_prepared |
| val_set_size: 0.001 |
| output_dir: outputs/out |
| |
| ## LIGER & CCE |
| plugins: |
| - axolotl.integrations.liger.LigerPlugin |
| - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin |
| liger_rope: true |
| liger_rms_norm: true |
| liger_layer_norm: true |
| liger_glu_activation: true |
| liger_fused_linear_cross_entropy: false |
| cut_cross_entropy: false |
| |
| ## CTX settings |
| sequence_len: 8192 |
| sample_packing: true |
| eval_sample_packing: false |
| pad_to_sequence_len: true |
| |
| ## Lora |
| adapter: lora |
| lora_model_dir: |
| lora_r: 128 |
| lora_alpha: 16 |
| lora_dropout: 0.05 |
| lora_target_linear: true |
| lora_fan_in_fan_out: |
| peft_use_rslora: true |
| lora_modules_to_save: |
| - embed_tokens |
| - lm_head |
| |
| ## WandB |
| wandb_project: JoeyBoy |
| wandb_entity: |
| wandb_watch: |
| wandb_name: |
| wandb_log_model: |
| |
| ## evals |
| evals_per_epoch: 8 |
| eval_table_size: |
| eval_max_new_tokens: 128 |
| |
| ## hoe params |
| gradient_accumulation_steps: 2 |
| micro_batch_size: 4 |
| num_epochs: 2 |
| optimizer: paged_adamw_8bit |
| lr_scheduler: cosine |
| learning_rate: 2e-5 |
| |
| train_on_inputs: false |
| group_by_length: false |
| bf16: auto |
| fp16: |
| tf32: false |
| |
| gradient_checkpointing: true |
| early_stopping_patience: |
| resume_from_checkpoint: |
| local_rank: |
| logging_steps: 1 |
| xformers_attention: |
| flash_attention: true |
| s2_attention: |
| |
| warmup_steps: 40 |
| saves_per_epoch: 2 |
| debug: |
| ## for ademiamix |
| deepspeed: ./deepspeed_configs/zero3_bf16.json |
| ## for adamw |
| #deepspeed: ./deepspeed_configs/zero3_bf16.json |
| weight_decay: 0.01 |
| fsdp: |
| fsdp_config: |
| special_tokens: |
| pad_token: <pad> |
| |
| ``` |
|
|
| </details><br> |
|
|
| # Noodles-12B |
|
|
| This model is a fine-tuned version of [hardlyworking/Broth-12B](https://huggingface.co/hardlyworking/Broth-12B) on the PocketDoc/Dans-MemoryCore-CoreCurriculum-Small, the NewEden/Kalo-Opus-Instruct-22k-Refusal-Murdered, the Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned, the Nitral-AI/Reasoning-1shot_ShareGPT, the Nitral-AI/GU_Instruct-ShareGPT, the Nitral-AI/Medical_Instruct-ShareGPT, the AquaV/Resistance-Sharegpt, the AquaV/US-Army-Survival-Sharegpt and the Gryphe/Sonnet3.5-SlimOrcaDedupCleaned datasets. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7255 |
| |
| ## 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: 2e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 4 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 32 |
| - total_eval_batch_size: 16 |
| - optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT 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: 40 |
| - num_epochs: 2.0 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 1.0128 | 0.0013 | 1 | 1.2742 | |
| | 0.8925 | 0.1256 | 94 | 0.8576 | |
| | 0.8065 | 0.2512 | 188 | 0.8102 | |
| | 0.782 | 0.3768 | 282 | 0.7881 | |
| | 0.8135 | 0.5023 | 376 | 0.7755 | |
| | 0.7877 | 0.6279 | 470 | 0.7601 | |
| | 0.7955 | 0.7535 | 564 | 0.7516 | |
| | 0.758 | 0.8791 | 658 | 0.7444 | |
| | 0.7362 | 1.0040 | 752 | 0.7402 | |
| | 0.7053 | 1.1296 | 846 | 0.7354 | |
| | 0.6439 | 1.2552 | 940 | 0.7326 | |
| | 0.7445 | 1.3808 | 1034 | 0.7298 | |
| | 0.5843 | 1.5063 | 1128 | 0.7288 | |
| | 0.6571 | 1.6319 | 1222 | 0.7268 | |
| | 0.652 | 1.7575 | 1316 | 0.7257 | |
| | 0.6872 | 1.8831 | 1410 | 0.7255 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.15.1 |
| - Transformers 4.51.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.5.0 |
| - Tokenizers 0.21.1 |
