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Qwen2.5-QwQ-RP-Draft-v0.1-0.5B

Text Generation
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qwen2
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Qwen2.5-QwQ-RP-Draft-v0.1-0.5B
File size: 13,580 Bytes 
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---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2.5-0.5B-Instruct
tags:
- generated_from_trainer
datasets:
- PJMixers-Dev/allura-org_gryphe-sonnet-3.5-charcards-names-added-qwq-all-aphrodite
- PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite
- PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite
- PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite
- PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite
- PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite
- PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite
- PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite
model-index:
- name: Outputs/Qwen2.5-QwQ-RP-Draft-v0.1-0.5B-LoRA-run10
  results: []
---

![image/png](https://cdn-uploads.huggingface.co/production/uploads/63559199805be5a8f30f6505/616DQIBD3QK8KFYjtYF8K.png)

<!-- 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: `0.6.0`
```yaml
# Weights and Biases logging config
wandb_project: Qwen2.5-QwQ-RP-Draft-0.5B
wandb_entity:
wandb_watch:
wandb_name: Qwen2.5-QwQ-RP-Draft-v0.1-0.5B-LoRA-run10
wandb_log_model:

# Model checkpointing config
output_dir: ./Outputs/Qwen2.5-QwQ-RP-Draft-v0.1-0.5B-LoRA-run10
resume_from_checkpoint:
save_steps: 10
save_safetensors: true
save_total_limit: 3
save_only_model: false

# Model architecture config
base_model: Qwen/Qwen2.5-0.5B-Instruct
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer

# Mixed precision training config
bf16: true
fp16: false
tf32: false

# Model loading config
load_in_8bit: false
load_in_4bit: false
strict: false

# Sequence config
sequence_len: 8192
min_sample_len: 256
sample_packing: true
eval_sample_packing: true
pad_to_sequence_len: true
train_on_inputs: false
group_by_length: false

# LoRA adapter config
adapter: lora
lora_model_dir:
lora_r: 128
lora_alpha: 128
lora_dropout: 0.125
peft_layers_to_transform:
peft_use_dora:
peft_use_rslora:
peft_layer_replication:
lora_target_modules:
  - gate_proj
  - down_proj
  - up_proj
  - q_proj
  - v_proj
  - k_proj
  - o_proj
lora_modules_to_save:

# Fix uninitialized tokens (such as <|start_header_id|> on the base L3 models)
fix_untrained_tokens:

# Dataset config
# RP: https://github.com/xzuyn/axolotl/blob/prompt_formats/src/axolotl/prompt_strategies/customchatml-regex-last-only.py
datasets:
  - path: PJMixers-Dev/allura-org_gryphe-sonnet-3.5-charcards-names-added-qwq-all-aphrodite
    split: train[128:]  # Everything except the first 128
    type: customchatml-regex-last-only
  - path: PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite
    split: train[128:]  # Everything except the first 128
    type: customchatml-regex-last-only
  - path: PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite
    split: train[128:]  # Everything except the first 128
    type: customchatml-regex-last-only
  - path: PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite
    split: train[128:]  # Everything except the first 128
    type: customchatml-regex-last-only
  - path: PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite
    split: train[128:]  # Everything except the first 128
    type: customchatml-regex-last-only
  - path: PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite
    split: train[128:]  # Everything except the first 128
    type: customchatml-regex-last-only
  - path: PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite
    split: train[128:]  # Everything except the first 128
    type: customchatml-regex-last-only
  - path: PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite
    split: train[128:]  # Everything except the first 128
    type: customchatml-regex-last-only
test_datasets:
  - path: PJMixers-Dev/allura-org_gryphe-sonnet-3.5-charcards-names-added-qwq-all-aphrodite
    split: train[:128]  # Only the first 128
    type: customchatml-regex-last-only
  - path: PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite
    split: train[:128]  # Only the first 128
    type: customchatml-regex-last-only
  - path: PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite
    split: train[:128]  # Only the first 128
    type: customchatml-regex-last-only
  - path: PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite
    split: train[:128]  # Only the first 128
    type: customchatml-regex-last-only
  - path: PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite
    split: train[:128]  # Only the first 128
    type: customchatml-regex-last-only
  - path: PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite
    split: train[:128]  # Only the first 128
    type: customchatml-regex-last-only
  - path: PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite
    split: train[:128]  # Only the first 128
    type: customchatml-regex-last-only
  - path: PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite
    split: train[:128]  # Only the first 128
    type: customchatml-regex-last-only
val_set_size: 0
eval_strategy: steps
eval_steps: 10
dataset_prepared_path: ./00-Tokenized-Datasets/Qwen2.5-QwQ-Draft-0.5B-customchatml-regex-newer
shuffle_merged_datasets: true
dataset_processes:

# Training hyperparameters
num_epochs: 1
gradient_accumulation_steps: 1
micro_batch_size: 16
eval_batch_size: 16
warmup_steps: 0
optimizer: came_pytorch
optim_args:
optim_target_modules:
lr_scheduler: rex
learning_rate: 1e-5
cosine_min_lr_ratio:
loraplus_lr_ratio:
loraplus_lr_embedding:
weight_decay: 0.1
max_grad_norm: 1
logging_steps: 1

# Model optimization
gradient_checkpointing: unsloth
sdp_attention: true
plugins:
  - axolotl.integrations.liger.LigerPlugin
  - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
cut_cross_entropy: true
liger_rope: true
liger_rms_norm: true
liger_layer_norm: true
liger_glu_activation: true
liger_cross_entropy: false
liger_fused_linear_cross_entropy: false
lora_mlp_kernel: false
lora_qkv_kernel: false
lora_o_kernel: false

# DeepSpeed
deepspeed:

# Garbage Collection
gc_steps: 1

# Debug config
debug: true
seed: 42

# Token config
special_tokens:
  eos_token: "<|endoftext|>"
  pad_token: "<|endoftext|>"
tokens:

```

</details><br>

# Outputs/Qwen2.5-QwQ-RP-Draft-v0.1-0.5B-LoRA-run10

This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the PJMixers-Dev/allura-org_gryphe-sonnet-3.5-charcards-names-added-qwq-all-aphrodite, the PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite, the PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite, the PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite, the PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite, the PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite, the PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite and the PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite datasets.
It achieves the following results on the evaluation set:
- Loss: 1.9716

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.4865        | 0.0010 | 1    | 3.2134          |
| 2.481         | 0.0102 | 10   | 2.5552          |
| 2.2964        | 0.0205 | 20   | 2.4036          |
| 2.3048        | 0.0307 | 30   | 2.3367          |
| 2.2577        | 0.0409 | 40   | 2.2934          |
| 2.2298        | 0.0512 | 50   | 2.2601          |
| 2.1367        | 0.0614 | 60   | 2.2385          |
| 2.1512        | 0.0716 | 70   | 2.2166          |
| 2.1703        | 0.0819 | 80   | 2.2022          |
| 2.1263        | 0.0921 | 90   | 2.1883          |
| 2.2121        | 0.1024 | 100  | 2.1750          |
| 2.1741        | 0.1126 | 110  | 2.1633          |
| 2.1621        | 0.1228 | 120  | 2.1547          |
| 2.0664        | 0.1331 | 130  | 2.1456          |
| 2.1005        | 0.1433 | 140  | 2.1374          |
| 2.0822        | 0.1535 | 150  | 2.1315          |
| 2.0856        | 0.1638 | 160  | 2.1252          |
| 2.1386        | 0.1740 | 170  | 2.1182          |
| 2.0756        | 0.1842 | 180  | 2.1134          |
| 2.0492        | 0.1945 | 190  | 2.1066          |
| 1.9882        | 0.2047 | 200  | 2.1024          |
| 2.036         | 0.2149 | 210  | 2.0970          |
| 2.1313        | 0.2252 | 220  | 2.0940          |
| 2.0356        | 0.2354 | 230  | 2.0897          |
| 2.0278        | 0.2456 | 240  | 2.0869          |
| 2.0754        | 0.2559 | 250  | 2.0825          |
| 2.0582        | 0.2661 | 260  | 2.0784          |
| 2.0588        | 0.2764 | 270  | 2.0758          |
| 1.9757        | 0.2866 | 280  | 2.0723          |
| 2.0619        | 0.2968 | 290  | 2.0700          |
| 1.956         | 0.3071 | 300  | 2.0684          |
| 2.065         | 0.3173 | 310  | 2.0642          |
| 1.982         | 0.3275 | 320  | 2.0604          |
| 2.0424        | 0.3378 | 330  | 2.0577          |
| 2.0635        | 0.3480 | 340  | 2.0553          |
| 1.9895        | 0.3582 | 350  | 2.0518          |
| 2.0296        | 0.3685 | 360  | 2.0496          |
| 2.0231        | 0.3787 | 370  | 2.0472          |
| 1.9422        | 0.3889 | 380  | 2.0459          |
| 2.0214        | 0.3992 | 390  | 2.0427          |
| 2.0107        | 0.4094 | 400  | 2.0401          |
| 2.0307        | 0.4197 | 410  | 2.0371          |
| 1.9874        | 0.4299 | 420  | 2.0356          |
| 2.0249        | 0.4401 | 430  | 2.0331          |
| 2.0947        | 0.4504 | 440  | 2.0314          |
| 1.9644        | 0.4606 | 450  | 2.0291          |
| 2.0633        | 0.4708 | 460  | 2.0271          |
| 2.0438        | 0.4811 | 470  | 2.0255          |
| 2.0227        | 0.4913 | 480  | 2.0239          |
| 2.0023        | 0.5015 | 490  | 2.0208          |
| 2.0231        | 0.5118 | 500  | 2.0193          |
| 1.9659        | 0.5220 | 510  | 2.0179          |
| 1.9382        | 0.5322 | 520  | 2.0171          |
| 1.9959        | 0.5425 | 530  | 2.0157          |
| 1.9835        | 0.5527 | 540  | 2.0139          |
| 1.942         | 0.5629 | 550  | 2.0124          |
| 2.0036        | 0.5732 | 560  | 2.0109          |
| 2.023         | 0.5834 | 570  | 2.0100          |
| 1.9686        | 0.5937 | 580  | 2.0078          |
| 1.9867        | 0.6039 | 590  | 2.0070          |
| 1.9662        | 0.6141 | 600  | 2.0060          |
| 1.968         | 0.6244 | 610  | 2.0045          |
| 1.9435        | 0.6346 | 620  | 2.0035          |
| 1.9245        | 0.6448 | 630  | 2.0024          |
| 1.9573        | 0.6551 | 640  | 2.0007          |
| 1.9466        | 0.6653 | 650  | 1.9994          |
| 2.0202        | 0.6755 | 660  | 1.9976          |
| 1.891         | 0.6858 | 670  | 1.9965          |
| 2.0134        | 0.6960 | 680  | 1.9980          |
| 1.9276        | 0.7062 | 690  | 1.9958          |
| 1.9266        | 0.7165 | 700  | 1.9949          |
| 1.8661        | 0.7267 | 710  | 1.9932          |
| 1.9446        | 0.7369 | 720  | 1.9923          |
| 1.8605        | 0.7472 | 730  | 1.9908          |
| 1.9426        | 0.7574 | 740  | 1.9906          |
| 1.9806        | 0.7677 | 750  | 1.9893          |
| 1.9268        | 0.7779 | 760  | 1.9880          |
| 1.987         | 0.7881 | 770  | 1.9870          |
| 1.9182        | 0.7984 | 780  | 1.9866          |
| 2.0103        | 0.8086 | 790  | 1.9853          |
| 1.9153        | 0.8188 | 800  | 1.9839          |
| 2.0043        | 0.8291 | 810  | 1.9830          |
| 1.9791        | 0.8393 | 820  | 1.9819          |
| 1.912         | 0.8495 | 830  | 1.9811          |
| 1.9288        | 0.8598 | 840  | 1.9808          |
| 1.9613        | 0.8700 | 850  | 1.9796          |
| 1.9767        | 0.8802 | 860  | 1.9783          |
| 1.9097        | 0.8905 | 870  | 1.9783          |
| 1.9727        | 0.9007 | 880  | 1.9773          |
| 1.9432        | 0.9110 | 890  | 1.9763          |
| 1.9109        | 0.9212 | 900  | 1.9754          |
| 1.9184        | 0.9314 | 910  | 1.9749          |
| 1.9179        | 0.9417 | 920  | 1.9744          |
| 1.9812        | 0.9519 | 930  | 1.9735          |
| 1.9695        | 0.9621 | 940  | 1.9727          |
| 1.9474        | 0.9724 | 950  | 1.9727          |
| 1.8376        | 0.9826 | 960  | 1.9721          |
| 1.8961        | 0.9928 | 970  | 1.9716          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.50.0.dev0
- Pytorch 2.7.0.dev20250224+rocm6.3
- Datasets 3.3.1
- Tokenizers 0.21.0