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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: unsloth/Mistral-Nemo-Instruct-2407-bnb-4bit |
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tags: |
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- generated_from_trainer |
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datasets: |
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- instruction_solution_to_thought_dataset.jsonl |
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model-index: |
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- name: outputs_solution_to_thought |
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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: `0.7.0` |
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```yaml |
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# Base model configuration |
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base_model: unsloth/Mistral-Nemo-Instruct-2407-bnb-4bit |
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load_in_4bit: true |
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# Dataset configuration |
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datasets: |
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- path: instruction_solution_to_thought_dataset.jsonl |
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type: chat_template |
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# Chat template |
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chat_template: chatml |
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# LoRA adapter configuration |
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adapter: lora |
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lora_r: 16 |
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lora_alpha: 16 |
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lora_dropout: 0 |
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lora_target_modules: |
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- q_proj |
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- k_proj |
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- v_proj |
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- o_proj |
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- gate_proj |
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- up_proj |
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- down_proj |
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# Training hyperparameters |
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max_seq_length: 128000 |
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micro_batch_size: 2 |
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gradient_accumulation_steps: 8 |
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learning_rate: 3e-5 |
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num_epochs: 2 |
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warmup_steps: 100 |
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optimizer: adamw_8bit |
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weight_decay: 0.01 |
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lr_scheduler_type: cosine |
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max_grad_norm: 1.0 |
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output_dir: ./outputs_solution_to_thought |
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seed: 3407 |
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merge_lora: true |
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hf_upload: true |
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hf_repo: secemp9/TraceBack-12b |
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xformers_attention: |
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flash_attention: True |
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#lora_mlp_kernel: true |
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#lora_qkv_kernel: true |
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#lora_o_kernel: true |
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#fp16: true |
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#load_in_8bit: true # Enable 8-bit loading for LoRA finetuning |
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bf16: true # Enable BF16 mixed precision |
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# Multi-GPU training with DeepSpeed |
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deepspeed: deepspeed_configs/zero2.json |
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# Optional: Enable gradient checkpointing |
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gradient_checkpointing: true |
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``` |
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</details><br> |
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# outputs_solution_to_thought |
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This model is a fine-tuned version of [unsloth/Mistral-Nemo-Instruct-2407-bnb-4bit](https://huggingface.co/unsloth/Mistral-Nemo-Instruct-2407-bnb-4bit) on the instruction_solution_to_thought_dataset.jsonl dataset. |
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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: 3e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 3407 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 16 |
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- optimizer: Use 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: 100 |
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- num_epochs: 2.0 |
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### Training results |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
