souging commited on
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Training in progress, epoch 0

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README.md ADDED
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+ ---
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+ library_name: peft
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+ license: apache-2.0
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+ base_model: Qwen/Qwen2.5-1.5B
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+ tags:
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+ - axolotl
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+ - generated_from_trainer
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+ model-index:
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+ - name: 029f10e5-2608-4fa0-b8bb-cbdc2ba54829
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ [<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)
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+ <details><summary>See axolotl config</summary>
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+
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+ axolotl version: `0.4.1`
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+ ```yaml
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+ adapter: lora
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+ base_model: Qwen/Qwen2.5-1.5B
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+ bf16: auto
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+ dataset_prepared_path: null
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+ datasets:
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+ - data_files:
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+ - b45999760ef35661_train_data.json
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+ ds_type: json
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+ format: custom
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+ path: /root/G.O.D-test/core/data/b45999760ef35661_train_data.json
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+ type:
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+ field_input: system_prompt
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+ field_instruction: problem
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+ field_output: solution
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+ format: '{instruction} {input}'
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+ no_input_format: '{instruction}'
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+ system_format: '{system}'
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+ system_prompt: ''
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+ debug: null
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+ deepspeed: null
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+ early_stopping_patience: null
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+ eval_max_new_tokens: 128
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+ eval_table_size: null
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+ evals_per_epoch: 50
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+ flash_attention: false
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+ fp16: null
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+ fsdp: null
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+ fsdp_config: null
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+ gradient_accumulation_steps: 4
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+ gradient_checkpointing: false
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+ group_by_length: false
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+ hub_model_id: souging/029f10e5-2608-4fa0-b8bb-cbdc2ba54829
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+ hub_repo: null
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+ hub_strategy: checkpoint
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+ hub_token: null
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+ learning_rate: 0.0002
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+ load_in_4bit: false
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+ load_in_8bit: false
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+ local_rank: null
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+ logging_steps: 1
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+ lora_alpha: 64
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+ lora_dropout: 0.05
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+ lora_fan_in_fan_out: null
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+ lora_model_dir: null
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+ lora_r: 32
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+ lora_target_linear: true
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+ lr_scheduler: cosine
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+ max_steps: 500
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+ micro_batch_size: 3
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+ mlflow_experiment_name: /tmp/b45999760ef35661_train_data.json
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+ model_type: AutoModelForCausalLM
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+ num_epochs: 3
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+ optimizer: adamw_bnb_8bit
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+ output_dir: miner_id_24
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+ pad_to_sequence_len: true
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+ resume_from_checkpoint: null
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+ s2_attention: null
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+ sample_packing: false
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+ saves_per_epoch: 50
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+ sequence_len: 1024
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+ strict: false
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+ tf32: false
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+ tokenizer_type: AutoTokenizer
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+ train_on_inputs: false
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+ trust_remote_code: true
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+ val_set_size: 0.05
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+ wandb_entity: null
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+ wandb_mode: online
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+ wandb_name: 2fcab945-37d4-4262-b912-3bc4bdc46e98
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+ wandb_project: Gradients-On-Demand
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+ wandb_run: your_name
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+ wandb_runid: 2fcab945-37d4-4262-b912-3bc4bdc46e98
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+ warmup_steps: 100
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+ weight_decay: 0.01
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+ xformers_attention: null
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+
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+ ```
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+
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+ </details><br>
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+
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+ # 029f10e5-2608-4fa0-b8bb-cbdc2ba54829
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+
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+ This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5337
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 3
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+ - eval_batch_size: 3
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 96
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+ - total_eval_batch_size: 24
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+ - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 100
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+ - training_steps: 500
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 0.8119 | 0.0020 | 1 | 0.8480 |
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+ | 0.8458 | 0.0081 | 4 | 0.8464 |
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+ | 0.9139 | 0.0162 | 8 | 0.8185 |
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+ | 0.7918 | 0.0243 | 12 | 0.7595 |
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+ | 0.7346 | 0.0324 | 16 | 0.6953 |
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+ | 0.7496 | 0.0405 | 20 | 0.6672 |
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+ | 0.6417 | 0.0486 | 24 | 0.6474 |
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+ | 0.6411 | 0.0567 | 28 | 0.6337 |
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+ | 0.5976 | 0.0648 | 32 | 0.6236 |
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+ | 0.6149 | 0.0729 | 36 | 0.6156 |
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+ | 0.6517 | 0.0810 | 40 | 0.6091 |
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+ | 0.578 | 0.0891 | 44 | 0.6025 |
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+ | 0.5751 | 0.0972 | 48 | 0.5978 |
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+ | 0.5774 | 0.1053 | 52 | 0.5933 |
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+ | 0.5904 | 0.1134 | 56 | 0.5896 |
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+ | 0.6291 | 0.1215 | 60 | 0.5862 |
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+ | 0.6046 | 0.1296 | 64 | 0.5829 |
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+ | 0.5971 | 0.1377 | 68 | 0.5801 |
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+ | 0.5339 | 0.1457 | 72 | 0.5778 |
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+ | 0.5838 | 0.1538 | 76 | 0.5762 |
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+ | 0.5879 | 0.1619 | 80 | 0.5744 |
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+ | 0.6243 | 0.1700 | 84 | 0.5727 |
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+ | 0.5588 | 0.1781 | 88 | 0.5710 |
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+ | 0.5582 | 0.1862 | 92 | 0.5703 |
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+ | 0.4996 | 0.1943 | 96 | 0.5688 |
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+ | 0.5783 | 0.2024 | 100 | 0.5679 |
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+ | 0.5992 | 0.2105 | 104 | 0.5669 |
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+ | 0.576 | 0.2186 | 108 | 0.5658 |
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+ | 0.5396 | 0.2267 | 112 | 0.5652 |
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+ | 0.5277 | 0.2348 | 116 | 0.5636 |
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+ | 0.5383 | 0.2429 | 120 | 0.5633 |
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+ | 0.5742 | 0.2510 | 124 | 0.5617 |
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+ | 0.5488 | 0.2591 | 128 | 0.5610 |
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+ | 0.5117 | 0.2672 | 132 | 0.5596 |
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+ | 0.597 | 0.2753 | 136 | 0.5598 |
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+ | 0.5429 | 0.2834 | 140 | 0.5586 |
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+ | 0.5275 | 0.2915 | 144 | 0.5580 |
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+ | 0.6284 | 0.2996 | 148 | 0.5569 |
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+ | 0.5636 | 0.3077 | 152 | 0.5565 |
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+ | 0.5918 | 0.3158 | 156 | 0.5560 |
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+ | 0.5125 | 0.3239 | 160 | 0.5551 |
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+ | 0.5762 | 0.3320 | 164 | 0.5548 |
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+ | 0.5175 | 0.3401 | 168 | 0.5546 |
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+ | 0.5223 | 0.3482 | 172 | 0.5540 |
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+ | 0.6249 | 0.3563 | 176 | 0.5535 |
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+ | 0.6143 | 0.3644 | 180 | 0.5531 |
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+ | 0.5562 | 0.3725 | 184 | 0.5523 |
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+ | 0.5256 | 0.3806 | 188 | 0.5519 |
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+ | 0.5949 | 0.3887 | 192 | 0.5517 |
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+ | 0.5621 | 0.4049 | 200 | 0.5506 |
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+ | 0.519 | 0.4534 | 224 | 0.5480 |
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+ | 0.5804 | 0.4615 | 228 | 0.5475 |
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+ | 0.5876 | 0.4696 | 232 | 0.5470 |
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+ | 0.5056 | 0.4777 | 236 | 0.5465 |
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+ | 0.6075 | 0.4858 | 240 | 0.5466 |
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+ | 0.5904 | 0.4939 | 244 | 0.5459 |
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+ | 0.5132 | 0.5020 | 248 | 0.5459 |
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+ | 0.5408 | 0.5101 | 252 | 0.5451 |
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+ | 0.5664 | 0.5182 | 256 | 0.5449 |
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+ | 0.5504 | 0.5263 | 260 | 0.5445 |
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+ | 0.586 | 0.5344 | 264 | 0.5444 |
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+ | 0.5636 | 0.5425 | 268 | 0.5437 |
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+ | 0.5426 | 0.5506 | 272 | 0.5438 |
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+ | 0.5506 | 0.5587 | 276 | 0.5432 |
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+ | 0.5304 | 0.5668 | 280 | 0.5427 |
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+ | 0.5274 | 0.5749 | 284 | 0.5425 |
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+ | 0.5152 | 0.5830 | 288 | 0.5429 |
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+ | 0.543 | 0.6559 | 324 | 0.5392 |
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+ | 0.4639 | 0.6721 | 332 | 0.5386 |
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+ | 0.5597 | 0.6802 | 336 | 0.5383 |
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+ | 0.5235 | 0.7530 | 372 | 0.5365 |
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+ | 0.5688 | 0.7611 | 376 | 0.5364 |
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+ | 0.594 | 0.7692 | 380 | 0.5361 |
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+ | 0.4947 | 0.7773 | 384 | 0.5360 |
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+ | 0.5625 | 0.7854 | 388 | 0.5357 |
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+ | 0.5373 | 0.7935 | 392 | 0.5357 |
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+ | 0.5124 | 0.8016 | 396 | 0.5355 |
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+ | 0.526 | 0.8097 | 400 | 0.5352 |
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+ | 0.4984 | 0.8178 | 404 | 0.5351 |
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+ | 0.5642 | 0.8259 | 408 | 0.5348 |
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+ | 0.5353 | 0.8340 | 412 | 0.5347 |
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+ | 0.4514 | 0.8421 | 416 | 0.5347 |
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+ | 0.5735 | 0.8502 | 420 | 0.5345 |
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+ | 0.5252 | 0.8583 | 424 | 0.5344 |
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+ | 0.5355 | 0.8664 | 428 | 0.5343 |
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+ | 0.4927 | 0.8745 | 432 | 0.5342 |
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+ | 0.5029 | 0.8826 | 436 | 0.5341 |
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+ | 0.547 | 0.8907 | 440 | 0.5340 |
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+ | 0.5855 | 0.8988 | 444 | 0.5339 |
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+ | 0.564 | 0.9069 | 448 | 0.5339 |
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+ | 0.5686 | 0.9150 | 452 | 0.5339 |
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+ | 0.5222 | 0.9231 | 456 | 0.5338 |
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+ | 0.5158 | 0.9312 | 460 | 0.5337 |
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+ | 0.5192 | 0.9879 | 488 | 0.5336 |
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+ | 0.4789 | 0.9960 | 492 | 0.5337 |
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+ | 0.5134 | 1.0040 | 496 | 0.5336 |
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+ | 0.5032 | 1.0121 | 500 | 0.5337 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.13.2
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+ - Transformers 4.46.0
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+ - Pytorch 2.5.0+cu124
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.3
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+ "tokenizer_class": "LlamaTokenizer",
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+ }
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vocab.json ADDED
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