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--- |
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library_name: peft |
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base_model: hardlyworking/Noodles-Merge-12B |
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tags: |
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- axolotl |
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- generated_from_trainer |
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datasets: |
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- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned |
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- ResplendentAI/bluemoon |
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- hardlyworking/openerotica-freedomrp-sharegpt-system |
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- MinervaAI/Aesir-Preview |
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- anthracite-core/c2_logs_32k_v1.1 |
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- Nitral-AI/Creative_Writing-ShareGPT |
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- PJMixers/lodrick-the-lafted_OpusStories-Story2Prompt-ShareGPT |
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model-index: |
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- name: Beef-12B |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<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) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.8.0` |
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```yaml |
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## model |
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base_model: hardlyworking/Noodles-Merge-12B |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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## upload |
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hub_model_id: hardlyworking/Beef-12B |
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hub_strategy: "all_checkpoints" |
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push_dataset_to_hub: |
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hf_use_auth_token: true |
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## qlora COPE |
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load_in_8bit: false |
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load_in_4bit: false |
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strict: false |
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## data |
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datasets: |
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- path: Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned |
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type: dan-chat-advanced |
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- path: ResplendentAI/bluemoon |
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type: dan-chat-advanced |
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- path: hardlyworking/openerotica-freedomrp-sharegpt-system |
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type: dan-chat-advanced |
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- path: MinervaAI/Aesir-Preview |
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type: dan-chat-advanced |
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- path: anthracite-core/c2_logs_32k_v1.1 |
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type: dan-chat-advanced |
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- path: Nitral-AI/Creative_Writing-ShareGPT |
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type: dan-chat-advanced |
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- path: PJMixers/lodrick-the-lafted_OpusStories-Story2Prompt-ShareGPT |
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type: dan-chat-advanced |
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shuffle_merged_datasets: true |
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dataset_prepared_path: dataset_prepared |
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val_set_size: 0.01 |
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output_dir: outputs/out |
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## LIGER & CCE |
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plugins: |
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- axolotl.integrations.liger.LigerPlugin |
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- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin |
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liger_rope: true |
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liger_rms_norm: true |
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liger_layer_norm: true |
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liger_glu_activation: true |
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liger_fused_linear_cross_entropy: false |
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cut_cross_entropy: false |
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## CTX settings |
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sequence_len: 8192 |
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sample_packing: true |
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eval_sample_packing: false |
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pad_to_sequence_len: true |
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## Lora |
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adapter: lora |
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lora_model_dir: |
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lora_r: 128 |
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lora_alpha: 16 |
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lora_dropout: 0.05 |
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lora_target_linear: true |
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lora_fan_in_fan_out: |
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peft_use_rslora: true |
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lora_modules_to_save: |
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- embed_tokens |
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- lm_head |
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## WandB |
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wandb_project: JoeyBoy |
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wandb_entity: |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
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## evals |
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evals_per_epoch: 8 |
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eval_table_size: |
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eval_max_new_tokens: 128 |
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## hoe params |
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gradient_accumulation_steps: 2 |
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micro_batch_size: 4 |
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num_epochs: 2 |
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optimizer: paged_adamw_8bit |
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lr_scheduler: cosine |
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learning_rate: 2e-5 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: auto |
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fp16: |
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tf32: false |
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gradient_checkpointing: true |
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early_stopping_patience: |
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resume_from_checkpoint: |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: true |
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s2_attention: |
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warmup_steps: 40 |
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saves_per_epoch: 2 |
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debug: |
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## for ademiamix |
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deepspeed: ./deepspeed_configs/zero3_bf16.json |
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## for adamw |
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## deepspeed: ./deepspeed_configs/zero3_bf16.json |
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weight_decay: 0.01 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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pad_token: <pad> |
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``` |
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</details><br> |
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# Beef-12B |
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This model is a fine-tuned version of [hardlyworking/Noodles-Merge-12B](https://huggingface.co/hardlyworking/Noodles-Merge-12B) on the Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned, the ResplendentAI/bluemoon, the hardlyworking/openerotica-freedomrp-sharegpt-system, the MinervaAI/Aesir-Preview, the anthracite-core/c2_logs_32k_v1.1, the Nitral-AI/Creative_Writing-ShareGPT and the PJMixers/lodrick-the-lafted_OpusStories-Story2Prompt-ShareGPT datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5655 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 16 |
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- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 40 |
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- num_epochs: 2.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.7653 | 0.0028 | 1 | 1.7865 | |
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| 1.3533 | 0.1255 | 45 | 1.6828 | |
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| 1.2807 | 0.2510 | 90 | 1.6545 | |
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| 1.3957 | 0.3766 | 135 | 1.6300 | |
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| 1.2727 | 0.5021 | 180 | 1.6176 | |
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| 1.2438 | 0.6276 | 225 | 1.6074 | |
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| 1.3147 | 0.7531 | 270 | 1.5958 | |
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| 1.2466 | 0.8787 | 315 | 1.5905 | |
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| 1.3144 | 1.0028 | 360 | 1.5844 | |
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| 1.1868 | 1.1283 | 405 | 1.5784 | |
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| 1.3102 | 1.2538 | 450 | 1.5750 | |
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| 1.2746 | 1.3794 | 495 | 1.5734 | |
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| 1.1794 | 1.5049 | 540 | 1.5692 | |
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| 1.2141 | 1.6304 | 585 | 1.5671 | |
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| 1.1795 | 1.7559 | 630 | 1.5660 | |
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| 1.4297 | 1.8815 | 675 | 1.5655 | |
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### Framework versions |
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- PEFT 0.15.1 |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
