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--- |
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library_name: peft |
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license: other |
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base_model: Qwen/Qwen1.5-0.5B |
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tags: |
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- axolotl |
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- generated_from_trainer |
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model-index: |
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- name: a30c98f1-5377-4fe4-bf1b-66b3d754b9b2 |
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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: `0.4.1` |
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```yaml |
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adapter: lora |
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base_model: Qwen/Qwen1.5-0.5B |
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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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- 08def8d176b3ee4d_train_data.json |
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ds_type: json |
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format: custom |
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path: /workspace/input_data/08def8d176b3ee4d_train_data.json |
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type: |
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field_input: tools |
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field_instruction: query |
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field_output: answers |
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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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device_map: |
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? '' |
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: 0,1,2,3,4,5,6,7 |
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early_stopping_patience: 2 |
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eval_max_new_tokens: 128 |
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eval_steps: 100 |
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eval_table_size: null |
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flash_attention: true |
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gradient_accumulation_steps: 8 |
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gradient_checkpointing: true |
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group_by_length: false |
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hub_model_id: Alphatao/a30c98f1-5377-4fe4-bf1b-66b3d754b9b2 |
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hub_repo: null |
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hub_strategy: null |
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hub_token: null |
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learning_rate: 0.0002 |
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load_best_model_at_end: true |
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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: 1 |
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lora_alpha: 32 |
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lora_dropout: 0.05 |
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lora_fan_in_fan_out: null |
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lora_model_dir: null |
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lora_r: 16 |
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lora_target_linear: true |
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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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lr_scheduler: cosine |
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max_grad_norm: 1.0 |
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max_steps: 4224 |
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micro_batch_size: 4 |
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mlflow_experiment_name: /tmp/08def8d176b3ee4d_train_data.json |
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model_type: AutoModelForCausalLM |
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num_epochs: 2 |
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optimizer: adamw_bnb_8bit |
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output_dir: miner_id_24 |
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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: 100 |
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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: 0.04 |
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wandb_entity: null |
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wandb_mode: online |
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wandb_name: 7a7bc575-869c-40c2-9816-fca44c877c0b |
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wandb_project: Gradients-On-Demand |
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wandb_run: your_name |
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wandb_runid: 7a7bc575-869c-40c2-9816-fca44c877c0b |
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warmup_steps: 10 |
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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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# a30c98f1-5377-4fe4-bf1b-66b3d754b9b2 |
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This model is a fine-tuned version of [Qwen/Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0594 |
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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: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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- optimizer: Use OptimizerNames.ADAMW_BNB 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: 10 |
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- training_steps: 2917 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.9008 | 0.0007 | 1 | 0.9272 | |
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| 0.1566 | 0.0686 | 100 | 0.0968 | |
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| 0.0716 | 0.1372 | 200 | 0.0869 | |
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| 0.081 | 0.2057 | 300 | 0.0793 | |
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| 0.1297 | 0.2743 | 400 | 0.0786 | |
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| 0.0308 | 0.3429 | 500 | 0.0740 | |
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| 0.075 | 0.4115 | 600 | 0.0740 | |
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| 0.0821 | 0.4801 | 700 | 0.0723 | |
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| 0.0985 | 0.5486 | 800 | 0.0694 | |
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| 0.051 | 0.6172 | 900 | 0.0675 | |
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| 0.0472 | 0.6858 | 1000 | 0.0666 | |
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| 0.0509 | 0.7544 | 1100 | 0.0658 | |
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| 0.1134 | 0.8230 | 1200 | 0.0651 | |
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| 0.073 | 0.8916 | 1300 | 0.0636 | |
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| 0.1127 | 0.9601 | 1400 | 0.0636 | |
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| 0.0228 | 1.0287 | 1500 | 0.0637 | |
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| 0.0262 | 1.0973 | 1600 | 0.0634 | |
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| 0.0448 | 1.1659 | 1700 | 0.0629 | |
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| 0.037 | 1.2345 | 1800 | 0.0625 | |
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| 0.1208 | 1.3030 | 1900 | 0.0620 | |
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| 0.0368 | 1.3716 | 2000 | 0.0619 | |
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| 0.0951 | 1.4402 | 2100 | 0.0612 | |
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| 0.0582 | 1.5088 | 2200 | 0.0604 | |
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| 0.0438 | 1.5774 | 2300 | 0.0602 | |
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| 0.033 | 1.6459 | 2400 | 0.0598 | |
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| 0.0626 | 1.7145 | 2500 | 0.0597 | |
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| 0.0106 | 1.7831 | 2600 | 0.0597 | |
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| 0.0312 | 1.8517 | 2700 | 0.0594 | |
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| 0.0382 | 1.9203 | 2800 | 0.0595 | |
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| 0.0622 | 1.9889 | 2900 | 0.0594 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.46.0 |
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- Pytorch 2.5.0+cu124 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
