| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: Qwen/Qwen3-1.7B |
| tags: |
| - axolotl |
| - base_model:adapter:Qwen/Qwen3-1.7B |
| - lora |
| - transformers |
| datasets: |
| - TeamPV/sharegpt-mistral-onr |
| pipeline_tag: text-generation |
| model-index: |
| - name: mistral-nemo-onr-dora-1p7 |
| 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: `0.13.0.dev0` |
| ```yaml |
| base_model: Qwen/Qwen3-1.7B |
| |
| # Quantization |
| |
| bnb_config_kwargs: |
| bnb_4bit_compute_dtype: bfloat16 |
| bnb_4bit_quant_type: nf4 |
| bnb_4bit_use_double_quant: true |
| |
| datasets: |
| - path: TeamPV/sharegpt-mistral-onr |
| split: train |
| type: chat_template |
| conversation: messages # Your dataset has 'messages' field |
| ds_type: json |
| |
| # Use model's built-in chat template |
| |
| val_set_size: 0.0 |
| test_datasets: |
| - path: TeamPV/sharegpt-mistral-onr |
| split: validation |
| type: chat_template |
| conversation: messages |
| |
| eval_sample_packing: false |
| eval_batch_size: 6 |
| eval_steps: 30000 |
| early_stopping_patience: 3 |
| |
| |
| # Tokenization |
| chat_template: tokenizer_default |
| sequence_len: 1200 |
| pad_to_sequence_len: true |
| sample_packing: false |
| |
| special_tokens: |
| pad_token: "</s>" |
| |
| # LoRA/DoRA |
| adapter: lora |
| lora_r: 32 |
| lora_alpha: 64 |
| lora_dropout: 0.05 |
| lora_target_modules: |
| - q_proj |
| - k_proj |
| - v_proj |
| - o_proj |
| - up_proj |
| - down_proj |
| - gate_proj |
| peft_use_dora: false |
| output_dir: /output/qwen1p7 |
| use_tensorboard: true |
| |
| # Training |
| micro_batch_size: 5 |
| gradient_accumulation_steps: 1 |
| num_epochs: 4 |
| learning_rate: 0.00005 |
| lr_scheduler: cosine |
| warmup_ratio: 0.10 |
| |
| # Optimizer |
| # optimizer: adamw_torch_fused |
| optimizer: adamw_bnb_8bit |
| bf16: true |
| fp16: false |
| # tf32: true |
| |
| # Attention |
| flash_attention: true |
| |
| # Memory |
| gradient_checkpointing: true |
| gradient_checkpointing_kwargs: |
| use_reentrant: false |
| |
| # Checkpointing |
| save_steps: 30000 |
| |
| |
| save_total_limit: 2 |
| load_best_model_at_end: true |
| |
| # Logging |
| logging_steps: 50 |
| |
| # HuggingFace Hub upload |
| hub_model_id: TeamPV/mistral-nemo-onr-dora-1p7 # Your HF repo name |
| hub_strategy: end # Options: end, every_save, checkpoint, all_checkpoints |
| hf_use_auth_token: true |
| |
| # Optional: make repo private |
| ``` |
|
|
| </details><br> |
|
|
| # mistral-nemo-onr-dora-1p7 |
|
|
| This model is a fine-tuned version of [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) on the TeamPV/sharegpt-mistral-onr dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.0987 |
| - Memory/max Active (gib): 14.15 |
| - Memory/max Allocated (gib): 14.15 |
| - Memory/device Reserved (gib): 14.87 |
|
|
| ## 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: 5e-05 |
| - train_batch_size: 5 |
| - eval_batch_size: 6 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_BNB 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: 7353 |
| - training_steps: 73530 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Active (gib) | Allocated (gib) | Reserved (gib) | |
| |:-------------:|:------:|:-----:|:---------------:|:------------:|:---------------:|:--------------:| |
| | No log | 0 | 0 | 3.6536 | 14.08 | 14.08 | 14.15 | |
| | 1.0537 | 1.6319 | 30000 | 1.1174 | 14.15 | 14.15 | 14.85 | |
| | 0.9286 | 3.2639 | 60000 | 1.0987 | 14.15 | 14.15 | 14.87 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.17.1 |
| - Transformers 4.57.0 |
| - Pytorch 2.7.1+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.1 |
