End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: heegyu/WizardVicuna-open-llama-3b-v2
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 681012ad-17b8-4365-810a-9cf00e644424
+  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: heegyu/WizardVicuna-open-llama-3b-v2
+bf16: auto
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 0ba056ab4aea2163_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/0ba056ab4aea2163_train_data.json
+  type:
+    field_input: input_role
+    field_instruction: target_role
+    field_output: target_role_short
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+device: cuda
+early_stopping_patience: null
+eval_max_new_tokens: 128
+eval_table_size: null
+evals_per_epoch: 4
+flash_attention: false
+fp16: null
+fsdp: null
+fsdp_config:
+  max_steps: 50
+  weight_decay: 0.01
+gradient_accumulation_steps: 4
+gradient_checkpointing: false
+group_by_length: false
+hub_model_id: sn56a1/681012ad-17b8-4365-810a-9cf00e644424
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0002
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 16
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 8
+lora_target_linear: true
+lr_scheduler: cosine
+max_memory:
+  0: 70GiB
+max_steps: 50
+micro_batch_size: 2
+mlflow_experiment_name: /tmp/0ba056ab4aea2163_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+optimizer: adamw_torch
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 70
+sequence_len: 1024
+special_tokens:
+  pad_token: </s>
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: sn56-miner
+wandb_mode: disabled
+wandb_name: 681012ad-17b8-4365-810a-9cf00e644424
+wandb_project: god
+wandb_run: k3li
+wandb_runid: 681012ad-17b8-4365-810a-9cf00e644424
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 681012ad-17b8-4365-810a-9cf00e644424
+
+This model is a fine-tuned version of [heegyu/WizardVicuna-open-llama-3b-v2](https://huggingface.co/heegyu/WizardVicuna-open-llama-3b-v2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0001
+
+## 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
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 50
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 5.8478        | 0.0013 | 1    | 5.8559          |
+| 5.4022        | 0.0065 | 5    | 5.2092          |
+| 2.2725        | 0.0130 | 10   | 1.3080          |
+| 0.2262        | 0.0195 | 15   | 0.1639          |
+| 0.0172        | 0.0260 | 20   | 0.0119          |
+| 0.0034        | 0.0325 | 25   | 0.0019          |
+| 0.0005        | 0.0390 | 30   | 0.0005          |
+| 0.0002        | 0.0455 | 35   | 0.0003          |
+| 0.0002        | 0.0520 | 40   | 0.0002          |
+| 0.0001        | 0.0586 | 45   | 0.0002          |
+| 0.0001        | 0.0651 | 50   | 0.0001          |
+
+
+### 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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