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Qwen2.5-QwQ-RP-Draft-v0.2-1.5B-LoRA-WS

PEFT

Safetensors

qwen2

axolotl

Generated from Trainer

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 ---
-base_model: Qwen/Qwen2.5-1.5B-Instruct
 library_name: peft
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
-<!-- Provide a longer summary of what this model is. -->
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
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-### Model Sources [optional]
-<!-- Provide the basic links for the model. -->
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-## Uses
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-### Direct Use
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-### Downstream Use [optional]
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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-### Recommendations
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-## How to Get Started with the Model
-Use the code below to get started with the model.
-[More Information Needed]
-## Training Details
-### Training Data
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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-### Training Procedure
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-#### Preprocessing [optional]
-[More Information Needed]
-#### Training Hyperparameters
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-#### Speeds, Sizes, Times [optional]
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-[More Information Needed]
-## Evaluation
-<!-- This section describes the evaluation protocols and provides the results. -->
-### Testing Data, Factors & Metrics
-#### Testing Data
-<!-- This should link to a Dataset Card if possible. -->
-[More Information Needed]
-#### Factors
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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-#### Metrics
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-[More Information Needed]
-### Results
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-#### Summary
-## Model Examination [optional]
-<!-- Relevant interpretability work for the model goes here -->
-[More Information Needed]
-## Environmental Impact
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-## Technical Specifications [optional]
-### Model Architecture and Objective
-[More Information Needed]
-### Compute Infrastructure
-[More Information Needed]
-#### Hardware
-[More Information Needed]
-#### Software
-[More Information Needed]
-## Citation [optional]
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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-## Glossary [optional]
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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 ### Framework versions
-- PEFT 0.14.0

 ---
 library_name: peft
+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: []
 ---
+<!-- 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