| | --- |
| | 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/direct_label_rolls |
| | 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. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0487 |
| |
|
| | ## 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: 1e-05 |
| | - 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: 3 |
| | - num_epochs: 2 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | No log | 0.0290 | 1 | 3.8909 | |
| | | 3.8462 | 0.0580 | 2 | 3.1606 | |
| | | 3.8462 | 0.0870 | 3 | 1.4003 | |
| | | 2.3026 | 0.1159 | 4 | 0.5247 | |
| | | 2.3026 | 0.1449 | 5 | 0.2535 | |
| | | 0.3725 | 0.1739 | 6 | 0.1224 | |
| | | 0.3725 | 0.2029 | 7 | 0.0711 | |
| | | 0.1704 | 0.2319 | 8 | 0.0705 | |
| | | 0.1704 | 0.2609 | 9 | 0.0842 | |
| | | 0.0719 | 0.2899 | 10 | 0.0684 | |
| | | 0.0719 | 0.3188 | 11 | 0.0837 | |
| | | 0.0719 | 0.3478 | 12 | 0.0794 | |
| | | 0.0719 | 0.3768 | 13 | 0.0679 | |
| | | 0.0729 | 0.4058 | 14 | 0.0607 | |
| | | 0.0729 | 0.4348 | 15 | 0.0682 | |
| | | 0.0639 | 0.4638 | 16 | 0.0660 | |
| | | 0.0639 | 0.4928 | 17 | 0.0607 | |
| | | 0.0659 | 0.5217 | 18 | 0.0609 | |
| | | 0.0659 | 0.5507 | 19 | 0.0599 | |
| | | 0.0584 | 0.5797 | 20 | 0.0595 | |
| | | 0.0584 | 0.6087 | 21 | 0.0579 | |
| | | 0.059 | 0.6377 | 22 | 0.0572 | |
| | | 0.059 | 0.6667 | 23 | 0.0579 | |
| | | 0.1069 | 0.6957 | 24 | 0.0617 | |
| | | 0.1069 | 0.7246 | 25 | 0.0601 | |
| | | 0.0585 | 0.7536 | 26 | 0.0563 | |
| | | 0.0585 | 0.7826 | 27 | 0.0598 | |
| | | 0.097 | 0.8116 | 28 | 0.0590 | |
| | | 0.097 | 0.8406 | 29 | 0.0548 | |
| | | 0.059 | 0.8696 | 30 | 0.0559 | |
| | | 0.059 | 0.8986 | 31 | 0.0570 | |
| | | 0.0695 | 0.9275 | 32 | 0.0548 | |
| | | 0.0695 | 0.9565 | 33 | 0.0554 | |
| | | 0.0533 | 0.9855 | 34 | 0.0564 | |
| | | 0.0533 | 1.0145 | 35 | 0.0541 | |
| | | 0.0544 | 1.0145 | 36 | 0.0548 | |
| | | 0.0544 | 1.0435 | 37 | 0.0555 | |
| | | 0.0555 | 1.0725 | 38 | 0.0531 | |
| | | 0.0555 | 1.1014 | 39 | 0.0532 | |
| | | 0.0524 | 1.1304 | 40 | 0.0536 | |
| | | 0.0524 | 1.1594 | 41 | 0.0519 | |
| | | 0.0641 | 1.1884 | 42 | 0.0520 | |
| | | 0.0641 | 1.2174 | 43 | 0.0522 | |
| | | 0.0494 | 1.2464 | 44 | 0.0514 | |
| | | 0.0494 | 1.2754 | 45 | 0.0511 | |
| | | 0.0502 | 1.3043 | 46 | 0.0514 | |
| | | 0.0502 | 1.3333 | 47 | 0.0511 | |
| | | 0.0482 | 1.3623 | 48 | 0.0505 | |
| | | 0.0482 | 1.3913 | 49 | 0.0511 | |
| | | 0.0472 | 1.4203 | 50 | 0.0509 | |
| | | 0.0472 | 1.4493 | 51 | 0.0498 | |
| | | 0.0478 | 1.4783 | 52 | 0.0498 | |
| | | 0.0478 | 1.5072 | 53 | 0.0502 | |
| | | 0.055 | 1.5362 | 54 | 0.0499 | |
| | | 0.055 | 1.5652 | 55 | 0.0493 | |
| | | 0.0459 | 1.5942 | 56 | 0.0493 | |
| | | 0.0459 | 1.6232 | 57 | 0.0497 | |
| | | 0.0492 | 1.6522 | 58 | 0.0497 | |
| | | 0.0492 | 1.6812 | 59 | 0.0494 | |
| | | 0.0504 | 1.7101 | 60 | 0.0490 | |
| | | 0.0504 | 1.7391 | 61 | 0.0488 | |
| | | 0.0564 | 1.7681 | 62 | 0.0488 | |
| | | 0.0564 | 1.7971 | 63 | 0.0488 | |
| | | 0.0503 | 1.8261 | 64 | 0.0488 | |
| | | 0.0503 | 1.8551 | 65 | 0.0487 | |
| | | 0.0495 | 1.8841 | 66 | 0.0487 | |
| | | 0.0495 | 1.9130 | 67 | 0.0487 | |
| | | 0.0446 | 1.9420 | 68 | 0.0487 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.43.3 |
| | - Pytorch 2.1.2+cu121 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
| | |
