Training in progress, step 31

README.md

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+---
+library_name: peft
+base_model: oopsung/llama2-7b-koNqa-test-v1
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- 7897b36af6847987_train_data.json
+model-index:
+- name: test-llama2-7b-koNqa-test-v1
+  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: `0.6.0`
+```yaml
+adapter: lora
+base_model: oopsung/llama2-7b-koNqa-test-v1
+bf16: auto
+data_collator:
+  max_length: 8192
+  padding: true
+  type: dynamic_padding
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 7897b36af6847987_train_data.json
+  ds_type: json
+  format: custom
+  path: 7897b36af6847987_train_data.json
+  preprocessing:
+  - shuffle: true
+  type:
+    field: null
+    field_input: null
+    field_instruction: mood
+    field_output: lyrics
+    field_system: null
+    format: null
+    no_input_format: null
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: null
+eval_max_new_tokens: 128
+eval_table_size: null
+evals_per_epoch: 4
+flash_attention: true
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: taopanda/test-llama2-7b-koNqa-test-v1
+learning_rate: 0.0001980900647573094
+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
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: 600
+micro_batch_size: 8
+model_type: LlamaForCausalLM
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+output_dir: ./outputs/lora-out/taopanda_test-llama2-7b-koNqa-test-v1
+resume_from_checkpoint: null
+s2_attention: null
+save_safetensors: true
+save_steps: 0.15
+save_total_limit: 1
+seed: 26232
+special_tokens: null
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.1
+wandb_entity: fatcat87-taopanda
+wandb_log_model: null
+wandb_mode: online
+wandb_name: taopanda_test-llama2-7b-koNqa-test-v1
+wandb_project: subnet56-test
+wandb_runid: taopanda_test-llama2-7b-koNqa-test-v1
+wandb_watch: null
+warmup_ratio: 0.06
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# test-llama2-7b-koNqa-test-v1
+
+This model is a fine-tuned version of [oopsung/llama2-7b-koNqa-test-v1](https://huggingface.co/oopsung/llama2-7b-koNqa-test-v1) on the 7897b36af6847987_train_data.json dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5600
+
+## 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: 0.0001980900647573094
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 26232
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- total_eval_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: 12
+- training_steps: 205
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.0028        | 0.0098 | 1    | 2.0533          |
+| 1.7152        | 0.2543 | 26   | 1.6692          |
+| 1.5552        | 0.5086 | 52   | 1.6252          |
+| 1.648         | 0.7628 | 78   | 1.6017          |
+| 1.5565        | 1.0098 | 104  | 1.5852          |
+| 1.5165        | 1.2641 | 130  | 1.5732          |
+| 1.5192        | 1.5183 | 156  | 1.5643          |
+| 1.5389        | 1.7726 | 182  | 1.5600          |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.48.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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