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: 856ed31c-62d9-4ed5-9989-8f6e5d4c01e3
+  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: qlora
+base_model: unsloth/Llama-3.2-3B
+bf16: auto
+chat_template: llama3
+dataloader_num_workers: 6
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - c9b7d4a6209ec024_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/c9b7d4a6209ec024_train_data.json
+  type:
+    field_instruction: context
+    field_output: question
+    format: '{instruction}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping:
+  metric: eval_loss
+  mode: min
+  patience: 3
+eval_max_new_tokens: 128
+eval_steps: 20
+eval_table_size: null
+evals_per_epoch: null
+flash_attention: true
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 16
+gradient_checkpointing: true
+group_by_length: true
+hub_model_id: error577/856ed31c-62d9-4ed5-9989-8f6e5d4c01e3
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0003
+load_in_4bit: true
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 64
+lora_dropout: 0.3
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 32
+lora_target_linear: true
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: 300
+micro_batch_size: 1
+mlflow_experiment_name: /tmp/c9b7d4a6209ec024_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 50
+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: 20
+sequence_len: 512
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.02
+wandb_entity: null
+wandb_mode: online
+wandb_name: 7f5dd85d-b076-4c99-a5b9-664ad388f4ef
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 7f5dd85d-b076-4c99-a5b9-664ad388f4ef
+warmup_steps: 10
+weight_decay: 0.01
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 856ed31c-62d9-4ed5-9989-8f6e5d4c01e3
+
+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: 1.7131
+
+## 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: 0.0003
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
+- 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: 300
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 4.0814        | 0.0009 | 1    | 4.7141          |
+| 1.5844        | 0.0172 | 20   | 1.8652          |
+| 1.6637        | 0.0344 | 40   | 1.8204          |
+| 1.5636        | 0.0515 | 60   | 1.8356          |
+| 1.4937        | 0.0687 | 80   | 1.8590          |
+| 1.6937        | 0.0859 | 100  | 1.8064          |
+| 1.5605        | 0.1031 | 120  | 1.7988          |
+| 1.4112        | 0.1202 | 140  | 1.7772          |
+| 1.6521        | 0.1374 | 160  | 1.7552          |
+| 1.5504        | 0.1546 | 180  | 1.7561          |
+| 1.8864        | 0.1718 | 200  | 1.7429          |
+| 1.6297        | 0.1889 | 220  | 1.7317          |
+| 1.5704        | 0.2061 | 240  | 1.7266          |
+| 1.6367        | 0.2233 | 260  | 1.7198          |
+| 1.4851        | 0.2405 | 280  | 1.7132          |
+| 1.6715        | 0.2576 | 300  | 1.7131          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

adapter_model.bin

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