End of training

README.md

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+---
+library_name: peft
+license: llama3.2
+base_model: unsloth/Llama-3.2-3B
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 82da4164-7ca8-4b2e-82cb-cf077fe314f5
+  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: `0.4.1`
+```yaml
+adapter: lora
+base_model: unsloth/Llama-3.2-3B
+bf16: true
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - cfe4cfbd460d8124_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/cfe4cfbd460d8124_train_data.json
+  type:
+    field_input: OriginalAddress1
+    field_instruction: PermitTypeDesc
+    field_output: Description
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+device_map:
+  ? ''
+  : 0,1,2,3,4,5,6,7
+early_stopping_patience: 2
+eval_max_new_tokens: 128
+eval_steps: 100
+eval_table_size: null
+flash_attention: true
+gradient_accumulation_steps: 8
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: Alphatao/82da4164-7ca8-4b2e-82cb-cf077fe314f5
+hub_repo: null
+hub_strategy: null
+hub_token: null
+learning_rate: 0.0002
+load_best_model_at_end: true
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 128
+lora_dropout: 0.1
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 64
+lora_target_linear: true
+lora_target_modules:
+- q_proj
+- k_proj
+- v_proj
+- o_proj
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: 2011
+micro_batch_size: 4
+mlflow_experiment_name: /tmp/cfe4cfbd460d8124_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 100
+sequence_len: 2048
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.04127830659875009
+wandb_entity: null
+wandb_mode: online
+wandb_name: 1c0ec80c-26dd-4dfe-858e-1b40744d4a00
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 1c0ec80c-26dd-4dfe-858e-1b40744d4a00
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 82da4164-7ca8-4b2e-82cb-cf077fe314f5
+
+This model is a fine-tuned version of [unsloth/Llama-3.2-3B](https://huggingface.co/unsloth/Llama-3.2-3B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4282
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_BNB 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: 10
+- training_steps: 2011
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 4.5394        | 0.0003 | 1    | 4.5230          |
+| 1.9022        | 0.0276 | 100  | 1.7936          |
+| 1.6432        | 0.0551 | 200  | 1.7068          |
+| 1.5876        | 0.0827 | 300  | 1.6605          |
+| 1.7241        | 0.1102 | 400  | 1.6289          |
+| 1.2011        | 0.1378 | 500  | 1.6054          |
+| 1.5357        | 0.1653 | 600  | 1.5869          |
+| 1.532         | 0.1929 | 700  | 1.5657          |
+| 1.6306        | 0.2204 | 800  | 1.5495          |
+| 1.7204        | 0.2480 | 900  | 1.5271          |
+| 1.616         | 0.2755 | 1000 | 1.5105          |
+| 1.4012        | 0.3031 | 1100 | 1.4984          |
+| 1.6245        | 0.3307 | 1200 | 1.4835          |
+| 1.4906        | 0.3582 | 1300 | 1.4692          |
+| 1.6158        | 0.3858 | 1400 | 1.4579          |
+| 1.5505        | 0.4133 | 1500 | 1.4491          |
+| 1.5439        | 0.4409 | 1600 | 1.4409          |
+| 1.5436        | 0.4684 | 1700 | 1.4351          |
+| 1.6966        | 0.4960 | 1800 | 1.4305          |
+| 1.387         | 0.5235 | 1900 | 1.4287          |
+| 1.0875        | 0.5511 | 2000 | 1.4282          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

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