| --- |
| library_name: peft |
| base_model: Qwen/Qwen3-8B |
| tags: |
| - axolotl |
| - base_model:adapter:Qwen/Qwen3-8B |
| - lora |
| - transformers |
| pipeline_tag: text-generation |
| model-index: |
| - name: out/qwen3-8b-persistent-navigation-20260525_121743 |
| 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: `0.13.2` |
| ```yaml |
| adapter: lora |
| base_model: Qwen/Qwen3-8B |
| bf16: true |
| bnb_4bit_compute_dtype: bfloat16 |
| bnb_4bit_quant_type: nf4 |
| bnb_4bit_use_double_quant: true |
| dataset_prepared_path: out/prepared_dataset_persistent |
| message_field_content: content |
| message_field_role: role |
| path: /e/project1/reformo/salgarkar1/agents_learn/pythonformer-workshop/paired/train/out/paired_data/persistent/navigation/traces.jsonl |
| roles_to_train: |
| - assistant |
| type: chat_template |
| eval_steps: 5 |
| flash_attention: true |
| gradient_accumulation_steps: 16 |
| gradient_checkpointing: true |
| gradient_checkpointing_kwargs: |
| use_reentrant: false |
| learning_rate: 0.0001 |
| load_in_4bit: true |
| load_in_8bit: false |
| logging_steps: 1 |
| lora_alpha: 128 |
| lora_dropout: 0.05 |
| lora_r: 64 |
| lora_target_linear: false |
| lora_target_modules: |
| - q_proj |
| - k_proj |
| - v_proj |
| - o_proj |
| - gate_proj |
| - up_proj |
| - down_proj |
| lr_scheduler: cosine |
| micro_batch_size: 1 |
| model_type: AutoModelForCausalLM |
| num_epochs: 3.0 |
| optimizer: adamw_torch |
| output_dir: out/qwen3-8b-persistent-navigation-20260525_121743 |
| pad_to_sequence_len: true |
| sample_packing: false |
| save_strategy: epoch |
| save_total_limit: 3 |
| seed: 3407 |
| sequence_len: 16384 |
| strict: false |
| tf32: true |
| tokenizer_type: AutoTokenizer |
| trust_remote_code: true |
| val_set_size: 0.04 |
| wandb_log_model: null |
| wandb_project: pythonformer |
| wandb_watch: null |
| warmup_ratio: 0.03 |
| weight_decay: 0.01 |
| |
| ``` |
|
|
| </details><br> |
|
|
| # out/qwen3-8b-persistent-navigation-20260525_121743 |
| |
| This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) on the /e/project1/reformo/salgarkar1/agents_learn/pythonformer-workshop/paired/train/out/paired_data/persistent/navigation/traces.jsonl dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2875 |
| - Ppl: 1.3331 |
| - Memory/max Active (gib): 54.54 |
| - Memory/max Allocated (gib): 54.54 |
| - Memory/device Reserved (gib): 66.97 |
| |
| ## 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: 0.0001 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 3407 |
| - distributed_type: multi-GPU |
| - num_devices: 4 |
| - gradient_accumulation_steps: 16 |
| - total_train_batch_size: 64 |
| - total_eval_batch_size: 4 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH 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: 2 |
| - training_steps: 45 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Ppl | Active (gib) | Allocated (gib) | Reserved (gib) | |
| |:-------------:|:------:|:----:|:---------------:|:------:|:------------:|:---------------:|:--------------:| |
| | No log | 0 | 0 | 0.9681 | 2.6330 | 53.19 | 53.19 | 56.52 | |
| | 0.6197 | 0.3333 | 5 | 0.5761 | 1.7792 | 54.54 | 54.54 | 66.97 | |
| | 0.4796 | 0.6667 | 10 | 0.4404 | 1.5533 | 54.54 | 54.54 | 66.97 | |
| | 0.4179 | 1.0 | 15 | 0.3768 | 1.4576 | 54.54 | 54.54 | 66.97 | |
| | 0.3473 | 1.3333 | 20 | 0.3375 | 1.4014 | 54.54 | 54.54 | 66.97 | |
| | 0.3125 | 1.6667 | 25 | 0.3142 | 1.3692 | 54.54 | 54.54 | 66.97 | |
| | 0.3015 | 2.0 | 30 | 0.2998 | 1.3496 | 54.54 | 54.54 | 66.97 | |
| | 0.3033 | 2.3333 | 35 | 0.2914 | 1.3383 | 54.54 | 54.54 | 66.97 | |
| | 0.2925 | 2.6667 | 40 | 0.2881 | 1.3339 | 54.54 | 54.54 | 66.97 | |
| | 0.2815 | 3.0 | 45 | 0.2875 | 1.3331 | 54.54 | 54.54 | 66.97 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.18.1 |
| - Transformers 4.57.6 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.5.0 |
| - Tokenizers 0.22.2 |
