| --- |
| license: apache-2.0 |
| base_model: Qwen/Qwen2.5-7B-Instruct |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: prm |
| 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: `0.4.1` |
| ```yaml |
| base_model: Qwen/Qwen2.5-7B-Instruct |
| model_type: AutoModelForCausalLM |
| tokenizer_type: AutoTokenizer |
| |
| load_in_8bit: false |
| load_in_4bit: false |
| strict: false |
| |
| datasets: |
| - path: Jennny/math-conversations_overall |
| conversation: qwen-7b-chat |
| type: sharegpt |
| split: "train" |
| train_on_split: "train" |
| |
| warmup_ratio: 0.05 |
| val_set_size: 0.0 |
| output_dir: ./prm |
| wandb_project: preference-models |
| # wandb_entity: domain-generalization |
| wandb_watch: |
| wandb_name: "qwen-7b-bs32_lr2e-6_prm" |
| wandb_log_model: |
| |
| train_on_inputs: false |
| |
| save_safetensors: true |
| #noisy_embedding_alpha: 10.0 # default for sharegpt type |
| dataset_prepared_path: ~/data/preference-models/last_run_prepared |
| |
| dataset_processes: 48 |
| #torch_compile: true |
| sequence_len: 8192 |
| sample_packing: true |
| pad_to_sequence_len: true |
| |
| trust_remote_code: True |
| adapter: |
| lora_model_dir: |
| #lora_r: 32 |
| #lora_alpha: 16 |
| #lora_dropout: 0.05 |
| #lora_target_linear: true |
| #lora_fan_in_fan_out: |
| |
| gradient_checkpointing: True |
| |
| #warmup_ratio: 0.1 |
| gradient_accumulation_steps: 4 |
| micro_batch_size: 1 |
| num_epochs: 1 |
| #max_steps: 10 |
| #optimizer: adamw_torch_fused |
| optimizer: paged_adamw_32bit |
| #lr_scheduler: constant_with_warmup |
| lr_scheduler: cosine |
| learning_rate: 2.0e-6 |
| |
| weight_decay: 0.0 |
| max_grad_norm: 1.0 |
| |
| group_by_length: false |
| bf16: auto |
| fp16: false |
| tf32: true |
| |
| early_stopping_patience: |
| local_rank: |
| logging_steps: 2 |
| xformers_attention: |
| flash_attention: true |
| |
| eval_steps: |
| eval_table_size: |
| eval_table_max_new_tokens: |
| #save_steps: 100 |
| save_strategy: "epoch" |
| save_total_limit: 4 |
| #save_safetensors: false |
| debug: |
| |
| ddp: #true |
| deepspeed: #deepspeed/zero1.json # multi-gpu only |
| |
| fsdp: |
| fsdp_config: |
| special_tokens: |
| pad_token: <|end_of_text|> |
| |
| ``` |
|
|
| </details><br> |
|
|
| # prm |
|
|
| This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the None 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: 2e-06 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 8 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 32 |
| - total_eval_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 2 |
| - num_epochs: 1 |
| |
| ### Training results |
| |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.43.3 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
| |
