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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,196 @@
+---
+library_name: peft
+license: apache-2.0
+base_model: Qwen/Qwen3-4B
+tags:
+- generated_from_trainer
+datasets:
+- dougiefresh/jade_identity
+model-index:
+- name: outputs/identity_adapter
+  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: `0.9.2`
+```yaml
+adapter: lora
+base_model: Qwen/Qwen3-4B
+bf16: true
+
+# Dataset & Data Loading
+dataset_processes: 32
+chat_template: chatml
+datasets:
+- message_property_mappings:
+    content: content
+    role: role
+  path: dougiefresh/jade_identity
+  train_split: train
+  valid_split: valid
+  trust_remote_code: false
+  type: chat_template
+
+# Training Efficiency
+micro_batch_size: 32
+gradient_accumulation_steps: 2
+gradient_checkpointing: true
+
+# LoRA Settings
+lora_alpha: 64
+lora_dropout: 0.05
+lora_r: 64
+lora_target_modules:
+- q_proj
+- v_proj
+- k_proj
+- o_proj
+- gate_proj
+- down_proj
+- up_proj
+
+# Optimization
+learning_rate: 0.000008     # ↓ lower LR for stability
+lr_scheduler: cosine
+warmup_ratio: 0.2          # ↑ slightly longer warmup for smoother start
+optimizer: adamw_torch_fused
+
+# Sequence Length & Packing
+sequence_len: 2048         # ↓ 32K is overkill for identity Q&A
+max_prompt_len: 2048
+sample_packing_bin_size: 256
+sample_packing_group_size: 200000
+
+# Saving & Evaluation
+num_epochs: 30.0                     # ↑ train longer on smaller dataset
+output_dir: ./outputs/identity_adapter
+save_only_model: false
+save_safetensors: true
+val_set_size: 0.2                    # ↑ larger validation split
+eval_steps: 50                       # ↑ more frequent eval
+save_steps: 50                       # ↑ save often to prevent data loss
+load_best_model_at_end: true
+
+# Training Behavior
+train_on_inputs: false
+shuffle_merged_datasets: true
+skip_prepare_dataset: false
+auto_resume_from_checkpoints: true
+weight_decay: 0.01
+
+# Advanced
+pretrain_multipack_attn: true
+pretrain_multipack_buffer_size: 10000
+qlora_sharded_model_loading: false
+mean_resizing_embeddings: false
+strict: false
+
+# TRL
+trl:
+  log_completions: false
+  ref_model_mixup_alpha: 0.9
+  ref_model_sync_steps: 64
+  sync_ref_model: false
+  use_vllm: false
+
+# Hardware
+load_in_4bit: false
+load_in_8bit: false
+use_ray: false
+ray_num_workers: 1
+resources_per_worker:
+  GPU: 1
+
+callbacks:
+  - type: ReduceLROnPlateau
+    monitor: eval_loss
+    factor: 0.5
+    patience: 3
+    mode: min
+    min_lr: 1e-7
+
+  - type: EarlyStoppingCallback
+    monitor: eval_loss
+    patience: 6
+    mode: min
+
+# Logging
+use_tensorboard: true
+logging_dir: ./outputs/tensorboard
+logging_first_step: true
+logging_steps: 10
+```
+
+</details><br>
+
+# outputs/identity_adapter
+
+This model is a fine-tuned version of [Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) on the dougiefresh/jade_identity dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3335
+
+## 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: 8e-06
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 184
+- num_epochs: 30.0
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| No log        | 0.0323  | 1    | 7.7014          |
+| 7.2709        | 1.6129  | 50   | 7.0879          |
+| 4.9858        | 3.2258  | 100  | 4.8536          |
+| 3.5705        | 4.8387  | 150  | 3.4831          |
+| 2.839         | 6.4516  | 200  | 2.9379          |
+| 2.5697        | 8.0645  | 250  | 2.6852          |
+| 2.3997        | 9.6774  | 300  | 2.5461          |
+| 2.2486        | 11.2903 | 350  | 2.4681          |
+| 2.1874        | 12.9032 | 400  | 2.4054          |
+| 2.0334        | 14.5161 | 450  | 2.3724          |
+| 1.9825        | 16.1290 | 500  | 2.3459          |
+| 1.9212        | 17.7419 | 550  | 2.3317          |
+| 1.8507        | 19.3548 | 600  | 2.3255          |
+| 1.8262        | 20.9677 | 650  | 2.3246          |
+| 1.8001        | 22.5806 | 700  | 2.3292          |
+| 1.7335        | 24.1935 | 750  | 2.3303          |
+| 1.751         | 25.8065 | 800  | 2.3328          |
+| 1.7384        | 27.4194 | 850  | 2.3327          |
+| 1.7723        | 29.0323 | 900  | 2.3335          |
+
+
+### Framework versions
+
+- PEFT 0.15.2
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.1
+- Tokenizers 0.21.1

adapter_config.json

@@ -0,0 +1,39 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-4B",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "gate_proj",
+    "v_proj",
+    "up_proj",
+    "down_proj",
+    "k_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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added_tokens.json

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config.json

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+{
+  "_attn_implementation_autoset": true,
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2560,
+  "initializer_range": 0.02,
+  "intermediate_size": 9728,
+  "max_position_embeddings": 40960,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.51.3",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

special_tokens_map.json

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tokenizer.json

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tokenizer_config.json

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