| --- |
| library_name: peft |
| license: other |
| base_model: Qwen/Qwen2.5-3B-Instruct |
| tags: |
| - axolotl |
| - generated_from_trainer |
| - trl |
| - grpo |
| model-index: |
| - name: ebbfdd3e-6a3f-401d-9cc0-4d03a358be64 |
| 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: `0.10.0.dev0` |
| ```yaml |
| adapter: lora |
| adapter_config: |
| base_model_name_or_path: Qwen/Qwen2.5-3B-Instruct |
| inference_mode: false |
| lora_alpha: 256 |
| lora_dropout: 0.05 |
| r: 128 |
| task_type: CAUSAL_LM |
| base_model: Qwen/Qwen2.5-3B-Instruct |
| base_model_name_or_path: Qwen/Qwen2.5-3B-Instruct |
| bf16: true |
| chat_template: llama3 |
| dataloader_num_workers: 0 |
| dataloader_pin_memory: false |
| dataset_prepared_path: null |
| datasets: |
| - data_files: |
| - 0bc630b0fd660cf4_train_data.json |
| ds_type: json |
| format: custom |
| path: /workspace/input_data/ |
| type: |
| field_instruction: instruct |
| field_output: output |
| format: '{instruction}' |
| no_input_format: '{instruction}' |
| system_format: '{system}' |
| system_prompt: '' |
| ddp_broadcast_buffers: false |
| ddp_bucket_cap_mb: 25 |
| ddp_timeout: 7200 |
| debug: null |
| deepspeed: null |
| evaluation_strategy: 'no' |
| flash_attention: true |
| flash_attn_cross_entropy: true |
| flash_attn_rms_norm: true |
| fp16: false |
| fsdp: null |
| fsdp_config: null |
| gpu_memory_limit: null |
| gradient_accumulation_steps: 4 |
| gradient_checkpointing: true |
| gradient_checkpointing_kwargs: |
| use_reentrant: false |
| group_by_length: false |
| hub_model_id: dada22231/ebbfdd3e-6a3f-401d-9cc0-4d03a358be64 |
| hub_repo: null |
| hub_strategy: checkpoint |
| hub_token: null |
| learning_rate: 0.0002 |
| load_in_4bit: false |
| load_in_8bit: false |
| local_rank: null |
| logging_steps: 1 |
| lora_alpha: 256 |
| lora_dropout: 0.05 |
| lora_fan_in_fan_out: null |
| lora_model_dir: null |
| lora_modules_to_save: |
| - embed_tokens |
| - lm_head |
| lora_r: 128 |
| lora_target_linear: true |
| lr_scheduler: constant_with_warmup |
| max_memory: null |
| max_steps: 1500 |
| micro_batch_size: 8 |
| mlflow_experiment_name: /tmp/0bc630b0fd660cf4_train_data.json |
| model_type: AutoModelForCausalLM |
| optimizer: adamw_torch_fused |
| output_dir: ./outputs |
| pad_to_sequence_len: true |
| peft: |
| base_model_name_or_path: Qwen/Qwen2.5-3B-Instruct |
| push_to_hub: true |
| resume_from_checkpoint: null |
| s2_attention: null |
| sample_packing: true |
| save_only_model: true |
| save_safetensors: true |
| save_steps: 75 |
| save_strategy: steps |
| save_total_limit: 5 |
| sequence_len: 4096 |
| special_tokens: null |
| strict: false |
| tf32: true |
| tokenizer_type: AutoTokenizer |
| torch_compile: false |
| torch_compile_backend: inductor |
| train_on_inputs: false |
| trust_remote_code: true |
| val_set_size: 0 |
| wandb_entity: null |
| wandb_mode: online |
| wandb_name: 9b662779-43ad-43c1-909a-c215f8ccbfa7 |
| wandb_project: Gradients-On-Demand |
| wandb_run: your_name |
| wandb_runid: 9b662779-43ad-43c1-909a-c215f8ccbfa7 |
| warmup_steps: 150 |
| weight_decay: 0.01 |
| xformers_attention: null |
| |
| ``` |
|
|
| </details><br> |
|
|
| # ebbfdd3e-6a3f-401d-9cc0-4d03a358be64 |
|
|
| This model is a fine-tuned version of [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) on an unknown dataset. |
|
|
| ## 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: 0.0002 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 32 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: constant_with_warmup |
| - lr_scheduler_warmup_steps: 150 |
| - training_steps: 1500 |
| |
| ### Training results |
| |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.15.2 |
| - Transformers 4.52.3 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
