End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: Qwen/Qwen2-0.5B
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 985a55dc-c584-46de-8076-3e714896397d
+  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
+auto_resume_from_checkpoints: true
+base_model: Qwen/Qwen2-0.5B
+bf16: auto
+chat_template: llama3
+dataloader_num_workers: 12
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - b973d55f42cfe085_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/b973d55f42cfe085_train_data.json
+  type:
+    field_input: prediction_agent
+    field_instruction: id
+    field_output: text
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: 3
+eval_max_new_tokens: 128
+eval_steps: 50
+eval_table_size: null
+evals_per_epoch: null
+flash_attention: false
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 16
+gradient_checkpointing: true
+group_by_length: true
+hub_model_id: error577/985a55dc-c584-46de-8076-3e714896397d
+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: 128
+lora_dropout: 0.3
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 128
+lora_target_linear: true
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: null
+micro_batch_size: 1
+mlflow_experiment_name: /tmp/b973d55f42cfe085_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+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: 50
+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: 0a4e6580-4386-4e34-a04e-7f6adebdf9f1
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 0a4e6580-4386-4e34-a04e-7f6adebdf9f1
+warmup_steps: 10
+weight_decay: 0.01
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 985a55dc-c584-46de-8076-3e714896397d
+
+This model is a fine-tuned version of [Qwen/Qwen2-0.5B](https://huggingface.co/Qwen/Qwen2-0.5B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4893
+
+## 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
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.7705        | 0.0008 | 1    | 2.7982          |
+| 2.0182        | 0.0385 | 50   | 2.6748          |
+| 1.9123        | 0.0770 | 100  | 2.5995          |
+| 1.848         | 0.1154 | 150  | 2.5691          |
+| 2.0391        | 0.1539 | 200  | 2.5558          |
+| 1.7269        | 0.1924 | 250  | 2.5482          |
+| 1.9711        | 0.2309 | 300  | 2.5457          |
+| 1.7618        | 0.2693 | 350  | 2.5335          |
+| 1.9915        | 0.3078 | 400  | 2.5245          |
+| 1.8982        | 0.3463 | 450  | 2.5071          |
+| 1.879         | 0.3848 | 500  | 2.5016          |
+| 1.9806        | 0.4232 | 550  | 2.5045          |
+| 1.8871        | 0.4617 | 600  | 2.5030          |
+| 1.5764        | 0.5002 | 650  | 2.4837          |
+| 2.0392        | 0.5387 | 700  | 2.4777          |
+| 1.9442        | 0.5771 | 750  | 2.4806          |
+| 1.6963        | 0.6156 | 800  | 2.4674          |
+| 1.7608        | 0.6541 | 850  | 2.4691          |
+| 1.8756        | 0.6926 | 900  | 2.4588          |
+| 2.0197        | 0.7311 | 950  | 2.4705          |
+| 1.8497        | 0.7695 | 1000 | 2.4527          |
+| 1.9196        | 0.8080 | 1050 | 2.4576          |
+| 1.8975        | 0.8465 | 1100 | 2.4548          |
+| 1.8107        | 0.8850 | 1150 | 2.4366          |
+| 1.6969        | 0.9234 | 1200 | 2.4317          |
+| 1.9269        | 0.9619 | 1250 | 2.4288          |
+| 2.8794        | 1.0004 | 1300 | 2.4163          |
+| 1.7954        | 1.0389 | 1350 | 2.4884          |
+| 1.7913        | 1.0773 | 1400 | 2.4957          |
+| 1.8342        | 1.1158 | 1450 | 2.4893          |
+
+
+### 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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