End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: Qwen/Qwen3-8B-Base
+tags:
+- axolotl
+- base_model:adapter:Qwen/Qwen3-8B-Base
+- lora
+- transformers
+pipeline_tag: text-generation
+model-index:
+- name: 095d4331-de34-4132-bce0-29cbd9134a0e
+  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: `0.12.0.dev0`
+```yaml
+adapter: lora
+base_model: Qwen/Qwen3-8B-Base
+bf16: true
+chat_template: llama3
+dataloader_num_workers: 12
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 45c346a7c1e52747_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/
+  type:
+    field_input: None
+    field_instruction: instruct
+    field_output: output
+    field_system: None
+    format: None
+    no_input_format: None
+    system_format: '{system}'
+    system_prompt: None
+ddp: true
+debug: null
+deepspeed: null
+device_map: cuda
+early_stopping_patience: null
+eval_max_new_tokens: 128
+eval_steps: null
+eval_table_size: null
+evals_per_epoch: null
+flash_attention: true
+fp16: false
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 1
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+group_by_length: true
+hub_model_id: apriasmoro/095d4331-de34-4132-bce0-29cbd9134a0e
+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: null
+lora_alpha: 64
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 32
+lora_target_linear: true
+loraplus_lr_embedding: 1.0e-06
+loraplus_lr_ratio: 16
+lr_scheduler: cosine
+max_grad_norm: 1
+max_steps: 20
+micro_batch_size: 40
+mlflow_experiment_name: /tmp/45c346a7c1e52747_train_data.json
+model_card: false
+model_type: AutoModelForCausalLM
+num_epochs: 200
+optimizer: adamw_bnb_8bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+rl: null
+s2_attention: null
+sample_packing: true
+save_steps: 100
+save_total_limit: 10
+saves_per_epoch: 0
+sequence_len: 1024
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trl: null
+trust_remote_code: false
+val_set_size: 0.0
+wandb_name: c732d2b4-46df-4ed8-83ee-7525f648965f
+wandb_project: Gradients-On-Demand
+wandb_run: apriasmoro
+wandb_runid: c732d2b4-46df-4ed8-83ee-7525f648965f
+warmup_steps: 200
+weight_decay: 0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 095d4331-de34-4132-bce0-29cbd9134a0e
+
+This model is a fine-tuned version of [Qwen/Qwen3-8B-Base](https://huggingface.co/Qwen/Qwen3-8B-Base) on an unknown dataset.
+
+## 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: 40
+- eval_batch_size: 40
+- seed: 42
+- 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: 200
+- training_steps: 20
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.16.0
+- Transformers 4.53.2
+- Pytorch 2.7.1+cu128
+- Datasets 4.0.0
+- Tokenizers 0.21.2