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--- |
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library_name: peft |
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tags: |
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- axolotl |
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- base_model:adapter:/cache/models/Qwen--Qwen3-0.6B-Base |
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- lora |
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- transformers |
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pipeline_tag: text-generation |
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base_model: Qwen/Qwen3-0.6B-Base |
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model-index: |
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- name: workspace/axolotl/outputs/test-tour-07-24-06/test-inst-07-24-06 |
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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: `0.12.0.dev0` |
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```yaml |
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adapter: lora |
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base_model: Qwen/Qwen3-0.6B-Base |
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bf16: true |
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chat_template: llama3 |
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dataset_prepared_path: null |
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datasets: |
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- data_files: |
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- test-tour-07-24-06_train_data.json |
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ds_type: json |
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format: custom |
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path: /workspace/axolotl/data |
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type: |
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field_input: input |
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field_instruction: instruct |
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field_output: output |
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format: '{instruction} {input}' |
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no_input_format: '{instruction}' |
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system_format: '{system}' |
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system_prompt: '' |
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debug: null |
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deepspeed: null |
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device_map: auto |
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do_eval: true |
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early_stopping_patience: 4 |
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eval_batch_size: 1 |
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eval_max_new_tokens: 128 |
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eval_steps: 5 |
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eval_table_size: null |
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evals_per_epoch: null |
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flash_attention: true |
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fp16: false |
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fsdp: null |
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fsdp_config: null |
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gradient_accumulation_steps: 4 |
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gradient_checkpointing: false |
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group_by_length: true |
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learning_rate: 1.0e-05 |
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load_in_4bit: false |
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load_in_8bit: false |
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local_rank: null |
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logging_steps: 50 |
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lora_alpha: 256 |
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lora_dropout: 0.1 |
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lora_fan_in_fan_out: null |
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lora_model_dir: null |
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lora_r: 128 |
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lora_target_linear: true |
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lr_scheduler: cosine_with_min_lr |
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lr_scheduler_kwargs: |
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min_lr_rate: 0.01 |
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max_grad_norm: 1.0 |
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max_steps: 100 |
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micro_batch_size: 1 |
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mlflow_experiment_name: /workspace/axolotl/data/test-tour-07-24-06_train_data.json |
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model_type: AutoModelForCausalLM |
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num_epochs: 10 |
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optim_args: |
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adam_beta1: 0.9 |
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adam_beta2: 0.99 |
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adam_epsilon: 1.0e-08 |
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optimizer: adamw_bnb_8bit |
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output_dir: /workspace/axolotl/outputs/test-tour-07-24-06/test-inst-07-24-06 |
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pad_to_sequence_len: true |
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resume_from_checkpoint: null |
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s2_attention: null |
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sample_packing: false |
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save_steps: 5 |
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saves_per_epoch: null |
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sequence_len: 1024 |
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strict: false |
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tf32: true |
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tokenizer_type: AutoTokenizer |
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train_on_inputs: false |
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trust_remote_code: true |
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val_set_size: 0.0001 |
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warmup_steps: 50 |
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weight_decay: 0.0 |
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xformers_attention: null |
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``` |
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</details><br> |
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# workspace/axolotl/outputs/test-tour-07-24-06/test-inst-07-24-06 |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9218 |
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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: 1e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.99,adam_epsilon=1e-08 |
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- lr_scheduler_type: cosine_with_min_lr |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0 | 0 | 2.1013 | |
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| No log | 0.0002 | 5 | 2.1040 | |
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| No log | 0.0004 | 10 | 2.1005 | |
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| No log | 0.0006 | 15 | 2.1008 | |
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| No log | 0.0008 | 20 | 2.0962 | |
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| No log | 0.0010 | 25 | 2.0814 | |
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| No log | 0.0012 | 30 | 2.0584 | |
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| No log | 0.0014 | 35 | 2.0321 | |
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| No log | 0.0016 | 40 | 2.0064 | |
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| No log | 0.0018 | 45 | 1.9833 | |
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| 1.8411 | 0.0020 | 50 | 1.9622 | |
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| 1.8411 | 0.0022 | 55 | 1.9426 | |
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| 1.8411 | 0.0024 | 60 | 1.9384 | |
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| 1.8411 | 0.0025 | 65 | 1.9374 | |
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| 1.8411 | 0.0027 | 70 | 1.9304 | |
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| 1.8411 | 0.0029 | 75 | 1.9265 | |
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| 1.8411 | 0.0031 | 80 | 1.9260 | |
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| 1.8411 | 0.0033 | 85 | 1.9223 | |
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| 1.8411 | 0.0035 | 90 | 1.9228 | |
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| 1.8411 | 0.0037 | 95 | 1.9214 | |
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| 1.7706 | 0.0039 | 100 | 1.9218 | |
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### Framework versions |
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- PEFT 0.16.0 |
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- Transformers 4.53.2 |
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- Pytorch 2.6.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.2 |
