Model save

README.md

@@ -1,202 +1,290 @@
 ---
-base_model: PocketDoc/Dans-SakuraKaze-V1.0.0-12b
 library_name: peft
+license: apache-2.0
+base_model: PocketDoc/Dans-SakuraKaze-V1.0.0-12b
+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: MN-2407-DSK-QwQify-v0.1-12B-LoRA-WS
+  results: []
 ---
 
-# 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]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## 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
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### 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. -->
-
-[More Information Needed]
-
-### 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 -->
+<!-- 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. -->
 
-#### Speeds, Sizes, Times [optional]
+[<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>
 
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+axolotl version: `0.8.0.dev0`
+```yaml
+mlflow_tracking_uri: http://127.0.0.1:7860
+mlflow_experiment_name: MN-2407-DSK-QwQify-v0.1-12B-LoRA
 
-[More Information Needed]
+# Hugging Face saving config
+hub_model_id: BeaverAI/MN-2407-DSK-QwQify-v0.1-12B-LoRA-WS
+hub_strategy: every_save
 
-## Evaluation
+# Model checkpointing config
+output_dir: ./Outputs/MN-2407-DSK-QwQify-v0.1-12B-LoRA
+resume_from_checkpoint:
+save_steps: 25
+save_safetensors: true
+save_total_limit: 3
+save_only_model: false
 
-<!-- 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. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### 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. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
-
-[More Information Needed]
+# Model architecture config
+base_model: PocketDoc/Dans-SakuraKaze-V1.0.0-12b
+model_type: MistralForCausalLM
+tokenizer_type: PreTrainedTokenizerFast
+
+# 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
+# https://github.com/xzuyn/axolotl/blob/came-plus-formatters/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: 25
+dataset_prepared_path: ./00-Tokenized-Datasets/MN-2407-DSK-QwQify-v0.1-12B-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:
+  bos_token: "<s>"
+  eos_token: "<|im_end|>"
+  pad_token: "<pad>"
+tokens:
+
+```
+
+</details><br>
+
+# MN-2407-DSK-QwQify-v0.1-12B-LoRA-WS
+
+This model is a fine-tuned version of [PocketDoc/Dans-SakuraKaze-V1.0.0-12b](https://huggingface.co/PocketDoc/Dans-SakuraKaze-V1.0.0-12b) 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: 1.2770
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.134         | 0.0038 | 1    | 2.0025          |
+| 1.6185        | 0.0951 | 25   | 1.5748          |
+| 1.5187        | 0.1901 | 50   | 1.4871          |
+| 1.4757        | 0.2852 | 75   | 1.4410          |
+| 1.4008        | 0.3802 | 100  | 1.4100          |
+| 1.4116        | 0.4753 | 125  | 1.3857          |
+| 1.357         | 0.5703 | 150  | 1.3630          |
+| 1.3435        | 0.6654 | 175  | 1.3478          |
+| 1.3332        | 0.7605 | 200  | 1.3353          |
+| 1.3042        | 0.8555 | 225  | 1.3308          |
+| 1.2993        | 0.9506 | 250  | 1.3228          |
+| 1.3105        | 1.0456 | 275  | 1.3154          |
+| 1.2782        | 1.1407 | 300  | 1.3094          |
+| 1.3063        | 1.2357 | 325  | 1.3070          |
+| 1.3003        | 1.3308 | 350  | 1.3005          |
+| 1.2937        | 1.4259 | 375  | 1.2952          |
+| 1.283         | 1.5209 | 400  | 1.2922          |
+| 1.2692        | 1.6160 | 425  | 1.2887          |
+| 1.2639        | 1.7110 | 450  | 1.2855          |
+| 1.2546        | 1.8061 | 475  | 1.2822          |
+| 1.2711        | 1.9011 | 500  | 1.2787          |
+| 1.2492        | 1.9962 | 525  | 1.2770          |
 
-## Model Card Contact
 
-[More Information Needed]
 ### Framework versions
 
-- PEFT 0.14.0
+- PEFT 0.14.0
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.1