|
|
| --- |
| |
| library_name: transformers |
| base_model: Dans-DiscountModels/Mistral-NeMo-Minitron-8B-Base-ChatML |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: outputs/out |
| results: [] |
|
|
| --- |
| |
| [](https://hf.co/QuantFactory) |
|
|
|
|
| # QuantFactory/Magic_v2_8B-GGUF |
| This is quantized version of [FourOhFour/Magic_v2_8B](https://huggingface.co/FourOhFour/Magic_v2_8B) created using llama.cpp |
|
|
| # Original Model Card |
|
|
|
|
| <!-- 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: `0.4.1` |
| ```yaml |
| base_model: Dans-DiscountModels/Mistral-NeMo-Minitron-8B-Base-ChatML |
| model_type: AutoModelForCausalLM |
| tokenizer_type: AutoTokenizer |
| |
| load_in_8bit: false |
| load_in_4bit: false |
| strict: false |
| |
| datasets: |
| - path: PocketDoc/Dans-MemoryCore-CoreCurriculum-Small |
| type: sharegpt |
| conversation: chatml |
| - path: NewEden/Kalo-Opus-Instruct-22k-Refusal-Murdered |
| type: sharegpt |
| conversation: chatml |
| - path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned |
| type: sharegpt |
| conversation: chatml |
| - path: NewEden/Gryphe-Sonnet-3.5-35k-Subset |
| type: sharegpt |
| conversation: chatml |
| - path: Nitral-AI/Reasoning-1shot_ShareGPT |
| type: sharegpt |
| conversation: chatml |
| - path: Nitral-AI/GU_Instruct-ShareGPT |
| type: sharegpt |
| conversation: chatml |
| - path: Nitral-AI/Medical_Instruct-ShareGPT |
| type: sharegpt |
| conversation: chatml |
| - path: AquaV/Resistance-Sharegpt |
| type: sharegpt |
| conversation: chatml |
| - path: AquaV/US-Army-Survival-Sharegpt |
| type: sharegpt |
| conversation: chatml |
| - path: Gryphe/Sonnet3.5-SlimOrcaDedupCleaned |
| type: sharegpt |
| conversation: chatml |
| |
| chat_template: chatml |
| |
| val_set_size: 0.002 |
| output_dir: ./outputs/out |
| |
| adapter: |
| lora_r: |
| lora_alpha: |
| lora_dropout: |
| lora_target_linear: |
| |
| sequence_len: 8192 |
| sample_packing: true |
| eval_sample_packing: false |
| pad_to_sequence_len: true |
| |
| plugins: |
| - axolotl.integrations.liger.LigerPlugin |
| liger_rope: true |
| liger_rms_norm: true |
| liger_swiglu: true |
| liger_fused_linear_cross_entropy: true |
| |
| wandb_project: mini8B |
| wandb_entity: |
| wandb_watch: |
| wandb_name: mini8B |
| wandb_log_model: |
| |
| gradient_accumulation_steps: 4 |
| micro_batch_size: 2 |
| num_epochs: 2 |
| optimizer: adamw_bnb_8bit |
| lr_scheduler: cosine |
| learning_rate: 0.00001 |
| weight_decay: 0.05 |
| |
| train_on_inputs: false |
| group_by_length: false |
| bf16: auto |
| fp16: |
| tf32: true |
| |
| gradient_checkpointing: true |
| early_stopping_patience: |
| resume_from_checkpoint: |
| local_rank: |
| logging_steps: 1 |
| xformers_attention: |
| flash_attention: true |
| |
| warmup_ratio: 0.1 |
| evals_per_epoch: 4 |
| eval_table_size: |
| eval_max_new_tokens: 128 |
| saves_per_epoch: 2 |
| |
| debug: |
| deepspeed: deepspeed_configs/zero3_bf16.json |
| fsdp: |
| fsdp_config: |
| |
| special_tokens: |
| pad_token: <pad> |
| |
| ``` |
|
|
| </details><br> |
|
|
| # outputs/out |
|
|
| This model is a fine-tuned version of [Dans-DiscountModels/Mistral-NeMo-Minitron-8B-Base-ChatML](https://huggingface.co/Dans-DiscountModels/Mistral-NeMo-Minitron-8B-Base-ChatML) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.5341 |
|
|
| ## 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: 1e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 8 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 64 |
| - total_eval_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 91 |
| - num_epochs: 2 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 1.2548 | 0.0022 | 1 | 2.0884 | |
| | 0.7712 | 0.2503 | 114 | 1.6165 | |
| | 0.7566 | 0.5005 | 228 | 1.5734 | |
| | 0.7241 | 0.7508 | 342 | 1.5579 | |
| | 0.6994 | 1.0011 | 456 | 1.5401 | |
| | 0.6186 | 1.2499 | 570 | 1.5433 | |
| | 0.6102 | 1.5003 | 684 | 1.5366 | |
| | 0.5926 | 1.7507 | 798 | 1.5341 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.45.0.dev0 |
| - Pytorch 2.4.0+cu121 |
| - Datasets 2.21.0 |
| - Tokenizers 0.19.1 |
| |
| |
