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---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2.5-1.5B-Instruct
tags:
- axolotl
- generated_from_trainer
datasets:
- PJMixers-Dev/allura-org_gryphe-sonnet-3.5-charcards-names-added-qwq-all-aphrodite-Shuffled
- PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite-Shuffled
- PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite-Shuffled
- PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite-Shuffled
- PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite-Shuffled
- PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite-Shuffled
- PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite-Shuffled
- PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite-Shuffled
- PJMixers-Dev/PocketDoc_Dans-Prosemaxx-Cowriter-XL-8192-shrunk-l3-qwq-all-aphrodite-Shuffled
- PJMixers-Dev/PocketDoc_Dans-Personamaxx-Rainy-qwq-all-aphrodite-Shuffled
model-index:
- name: Qwen2.5-QwQ-RP-Draft-v0.2-1.5B-LoRA-WS
results: []
---
![image/png](https://i.imgur.com/yXmjraN.png)
Note: More models will be added to this comparison.
![image/png](https://i.imgur.com/cAHBQex.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: `0.8.0.dev0`
```yaml
mlflow_tracking_uri: http://127.0.0.1:7860
mlflow_experiment_name: Qwen2.5-QwQ-RP-Draft-v0.2-1.5B-LoRA
# Hugging Face saving config
hub_model_id: BeaverAI/Qwen2.5-QwQ-RP-Draft-v0.2-1.5B-LoRA-WS
hub_strategy: every_save
# Model checkpointing config
output_dir: ./Outputs/Qwen2.5-QwQ-RP-Draft-v0.2-1.5B-LoRA
resume_from_checkpoint:
save_steps: 10
save_safetensors: true
save_total_limit: 3
save_only_model: false
# Model architecture config
base_model: Qwen/Qwen2.5-1.5B-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: false
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
# 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-Shuffled
split: train
type: customchatml-regex-last-only
- path: PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite-Shuffled
split: train
type: customchatml-regex-last-only
- path: PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite-Shuffled
split: train
type: customchatml-regex-last-only
- path: PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite-Shuffled
split: train
type: customchatml-regex-last-only
- path: PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite-Shuffled
split: train
type: customchatml-regex-last-only
- path: PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite-Shuffled
split: train
type: customchatml-regex-last-only
- path: PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite-Shuffled
split: train
type: customchatml-regex-last-only
- path: PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite-Shuffled
split: train
type: customchatml-regex-last-only
- path: PJMixers-Dev/PocketDoc_Dans-Prosemaxx-Cowriter-XL-8192-shrunk-l3-qwq-all-aphrodite-Shuffled
split: train
type: customchatml-regex-last-only
- path: PJMixers-Dev/PocketDoc_Dans-Personamaxx-Rainy-qwq-all-aphrodite-Shuffled
split: train
type: customchatml-regex-last-only
test_datasets:
- path: PJMixers-Dev/allura-org_gryphe-sonnet-3.5-charcards-names-added-qwq-all-aphrodite-Shuffled
split: test
type: customchatml-regex-last-only
- path: PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite-Shuffled
split: test
type: customchatml-regex-last-only
- path: PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite-Shuffled
split: test
type: customchatml-regex-last-only
- path: PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite-Shuffled
split: test
type: customchatml-regex-last-only
- path: PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite-Shuffled
split: test
type: customchatml-regex-last-only
- path: PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite-Shuffled
split: test
type: customchatml-regex-last-only
- path: PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite-Shuffled
split: test
type: customchatml-regex-last-only
- path: PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite-Shuffled
split: test
type: customchatml-regex-last-only
- path: PJMixers-Dev/PocketDoc_Dans-Prosemaxx-Cowriter-XL-8192-shrunk-l3-qwq-all-aphrodite-Shuffled
split: test
type: customchatml-regex-last-only
- path: PJMixers-Dev/PocketDoc_Dans-Personamaxx-Rainy-qwq-all-aphrodite-Shuffled
split: test
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-v0.2-1.5B-customchatml-regex-last-only
shuffle_merged_datasets: true
dataset_processes:
# Training hyperparameters
num_epochs: 2
gradient_accumulation_steps: 1
micro_batch_size: 16 # x4 GPUs = 64
eval_batch_size: 16 # x4 GPUs = 64
warmup_steps: 0
optimizer: came_pytorch
optim_args:
optim_target_modules:
lr_scheduler: rex
learning_rate: 2e-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
flash_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: deepspeed_configs/zero3_bf16.json
# Garbage Collection
gc_steps: 1
# Debug config
debug: true
seed: 42
# Token config
special_tokens:
eos_token: "<|endoftext|>"
pad_token: "<|endoftext|>"
tokens:
```
</details><br>
# Qwen2.5-QwQ-RP-Draft-v0.2-1.5B-LoRA-WS
This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on the PJMixers-Dev/allura-org_gryphe-sonnet-3.5-charcards-names-added-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/PocketDoc_Dans-Prosemaxx-Cowriter-XL-8192-shrunk-l3-qwq-all-aphrodite-Shuffled and the PJMixers-Dev/PocketDoc_Dans-Personamaxx-Rainy-qwq-all-aphrodite-Shuffled datasets.
It achieves the following results on the evaluation set:
- Loss: 1.7920
## 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-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 64
- total_eval_batch_size: 64
- 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: 2.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.7253 | 0.0036 | 1 | 2.6463 |
| 2.4339 | 0.0362 | 10 | 2.3864 |
| 2.2821 | 0.0725 | 20 | 2.2571 |
| 2.207 | 0.1087 | 30 | 2.1771 |
| 2.1213 | 0.1449 | 40 | 2.1225 |
| 2.0926 | 0.1812 | 50 | 2.0870 |
| 2.0274 | 0.2174 | 60 | 2.0585 |
| 2.0292 | 0.2536 | 70 | 2.0338 |
| 2.0057 | 0.2899 | 80 | 2.0148 |
| 1.9841 | 0.3261 | 90 | 1.9975 |
| 1.9639 | 0.3623 | 100 | 1.9812 |
| 1.9303 | 0.3986 | 110 | 1.9688 |
| 1.9527 | 0.4348 | 120 | 1.9569 |
| 1.9389 | 0.4710 | 130 | 1.9459 |
| 1.9008 | 0.5072 | 140 | 1.9352 |
| 1.8996 | 0.5435 | 150 | 1.9259 |
| 1.8849 | 0.5797 | 160 | 1.9171 |
| 1.8793 | 0.6159 | 170 | 1.9105 |
| 1.8748 | 0.6522 | 180 | 1.9019 |
| 1.8697 | 0.6884 | 190 | 1.8959 |
| 1.8777 | 0.7246 | 200 | 1.8892 |
| 1.8731 | 0.7609 | 210 | 1.8833 |
| 1.8358 | 0.7971 | 220 | 1.8772 |
| 1.8483 | 0.8333 | 230 | 1.8729 |
| 1.8567 | 0.8696 | 240 | 1.8679 |
| 1.8461 | 0.9058 | 250 | 1.8632 |
| 1.8436 | 0.9420 | 260 | 1.8591 |
| 1.7992 | 0.9783 | 270 | 1.8545 |
| 1.7925 | 1.0145 | 280 | 1.8510 |
| 1.814 | 1.0507 | 290 | 1.8461 |
| 1.8249 | 1.0870 | 300 | 1.8431 |
| 1.7889 | 1.1232 | 310 | 1.8391 |
| 1.8116 | 1.1594 | 320 | 1.8367 |
| 1.7895 | 1.1957 | 330 | 1.8339 |
| 1.7951 | 1.2319 | 340 | 1.8300 |
| 1.7831 | 1.2681 | 350 | 1.8272 |
| 1.7919 | 1.3043 | 360 | 1.8250 |
| 1.7755 | 1.3406 | 370 | 1.8224 |
| 1.7895 | 1.3768 | 380 | 1.8209 |
| 1.7806 | 1.4130 | 390 | 1.8184 |
| 1.7808 | 1.4493 | 400 | 1.8156 |
| 1.7771 | 1.4855 | 410 | 1.8136 |
| 1.7636 | 1.5217 | 420 | 1.8118 |
| 1.7719 | 1.5580 | 430 | 1.8098 |
| 1.7716 | 1.5942 | 440 | 1.8074 |
| 1.7917 | 1.6304 | 450 | 1.8056 |
| 1.784 | 1.6667 | 460 | 1.8035 |
| 1.7846 | 1.7029 | 470 | 1.8019 |
| 1.7485 | 1.7391 | 480 | 1.8002 |
| 1.7381 | 1.7754 | 490 | 1.7987 |
| 1.764 | 1.8116 | 500 | 1.7972 |
| 1.744 | 1.8478 | 510 | 1.7964 |
| 1.7673 | 1.8841 | 520 | 1.7948 |
| 1.7926 | 1.9203 | 530 | 1.7935 |
| 1.7843 | 1.9565 | 540 | 1.7926 |
| 1.7689 | 1.9928 | 550 | 1.7920 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.1