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: 1a43e5c4-855d-416a-b8ec-a2a916cb7907
+  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:
+  - 68ef826ced66c8c7_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/68ef826ced66c8c7_train_data.json
+  type:
+    field_input: input
+    field_instruction: instruction
+    field_output: output
+    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: 400
+eval_table_size: null
+flash_attention: true
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: Alphatao/1a43e5c4-855d-416a-b8ec-a2a916cb7907
+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: 32
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 16
+lora_target_linear: true
+lora_target_modules:
+- q_proj
+- k_proj
+- v_proj
+- o_proj
+- down_proj
+- up_proj
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: 7351
+micro_batch_size: 2
+mlflow_experiment_name: /tmp/68ef826ced66c8c7_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: 400
+sequence_len: 2048
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.033916240452578315
+wandb_entity: null
+wandb_mode: online
+wandb_name: f214522a-6979-41cd-a80c-d566c41b01d8
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: f214522a-6979-41cd-a80c-d566c41b01d8
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 1a43e5c4-855d-416a-b8ec-a2a916cb7907
+
+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: 0.7412
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- 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: 7351
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.7224        | 0.0001 | 1    | 2.1008          |
+| 0.8266        | 0.0225 | 400  | 0.8611          |
+| 0.95          | 0.0449 | 800  | 0.8325          |
+| 0.916         | 0.0674 | 1200 | 0.8323          |
+| 0.9649        | 0.0899 | 1600 | 0.8187          |
+| 1.0447        | 0.1123 | 2000 | 0.8094          |
+| 0.9421        | 0.1348 | 2400 | 0.8086          |
+| 0.759         | 0.1573 | 2800 | 0.8016          |
+| 0.8835        | 0.1797 | 3200 | 0.7898          |
+| 1.0793        | 0.2022 | 3600 | 0.7785          |
+| 0.8628        | 0.2247 | 4000 | 0.7755          |
+| 0.8557        | 0.2472 | 4400 | 0.7677          |
+| 0.6361        | 0.2696 | 4800 | 0.7604          |
+| 0.5638        | 0.2921 | 5200 | 0.7556          |
+| 1.1077        | 0.3146 | 5600 | 0.7485          |
+| 0.8949        | 0.3370 | 6000 | 0.7458          |
+| 0.885         | 0.3595 | 6400 | 0.7437          |
+| 1.1648        | 0.3820 | 6800 | 0.7415          |
+| 1.0295        | 0.4044 | 7200 | 0.7412          |
+
+
+### 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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