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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: 12b3db6d-6d65-435d-8a25-2864637b169b |
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results: [] |
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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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[<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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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: true |
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chat_template: llama3 |
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dataset_prepared_path: null |
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datasets: |
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- data_files: |
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- 5f268db15ffc7212_train_data.json |
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ds_type: json |
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format: custom |
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path: /workspace/input_data/5f268db15ffc7212_train_data.json |
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type: |
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field_input: input |
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field_instruction: instruction |
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field_output: output |
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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: 4 |
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eval_max_new_tokens: 128 |
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eval_steps: 150 |
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eval_table_size: null |
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flash_attention: true |
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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: true |
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group_by_length: false |
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hub_model_id: Romain-XV/12b3db6d-6d65-435d-8a25-2864637b169b |
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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_best_model_at_end: true |
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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: 128 |
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lora_dropout: 0.3 |
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lora_fan_in_fan_out: null |
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lora_model_dir: null |
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lora_r: 64 |
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lora_target_linear: true |
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lora_target_modules: |
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- q_proj |
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- k_proj |
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- v_proj |
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lr_scheduler: cosine |
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max_grad_norm: 1.0 |
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max_steps: 5040 |
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micro_batch_size: 2 |
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mlflow_experiment_name: /tmp/5f268db15ffc7212_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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save_steps: 150 |
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sequence_len: 1024 |
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strict: false |
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tf32: true |
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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: 0.04469673266884191 |
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wandb_entity: null |
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wandb_mode: online |
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wandb_name: e613d36b-a8a6-4953-9f33-ddca7d87fc98 |
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wandb_project: Gradients-On-Demand |
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wandb_run: your_name |
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wandb_runid: e613d36b-a8a6-4953-9f33-ddca7d87fc98 |
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warmup_steps: 10 |
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weight_decay: 0.0 |
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xformers_attention: null |
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``` |
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</details><br> |
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# 12b3db6d-6d65-435d-8a25-2864637b169b |
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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: 1.9663 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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: 10 |
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- training_steps: 5040 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.526 | 0.0001 | 1 | 2.4610 | |
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| 2.0932 | 0.0112 | 150 | 2.3241 | |
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| 1.9923 | 0.0225 | 300 | 2.2711 | |
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| 2.5518 | 0.0337 | 450 | 2.2464 | |
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| 2.2405 | 0.0449 | 600 | 2.2287 | |
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| 2.7935 | 0.0561 | 750 | 2.1983 | |
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| 2.1035 | 0.0674 | 900 | 2.1862 | |
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| 2.3212 | 0.0786 | 1050 | 2.1668 | |
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| 1.9817 | 0.0898 | 1200 | 2.1552 | |
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| 2.1509 | 0.1011 | 1350 | 2.1452 | |
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| 2.0084 | 0.1123 | 1500 | 2.1316 | |
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| 1.9503 | 0.1235 | 1650 | 2.1120 | |
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| 1.9088 | 0.1347 | 1800 | 2.0998 | |
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| 2.4338 | 0.1460 | 1950 | 2.0879 | |
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| 1.5782 | 0.1572 | 2100 | 2.0774 | |
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| 2.451 | 0.1684 | 2250 | 2.0680 | |
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| 2.1608 | 0.1797 | 2400 | 2.0558 | |
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| 1.9455 | 0.1909 | 2550 | 2.0448 | |
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| 1.9849 | 0.2021 | 2700 | 2.0360 | |
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| 2.1229 | 0.2134 | 2850 | 2.0262 | |
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| 2.0596 | 0.2246 | 3000 | 2.0166 | |
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| 2.0005 | 0.2358 | 3150 | 2.0094 | |
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| 2.5008 | 0.2470 | 3300 | 2.0030 | |
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| 1.951 | 0.2583 | 3450 | 1.9947 | |
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| 2.2078 | 0.2695 | 3600 | 1.9886 | |
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| 2.0641 | 0.2807 | 3750 | 1.9838 | |
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| 2.1594 | 0.2920 | 3900 | 1.9794 | |
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| 2.405 | 0.3032 | 4050 | 1.9754 | |
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| 1.5995 | 0.3144 | 4200 | 1.9723 | |
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| 1.9719 | 0.3256 | 4350 | 1.9696 | |
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| 1.6564 | 0.3369 | 4500 | 1.9680 | |
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| 1.5252 | 0.3481 | 4650 | 1.9671 | |
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| 1.5916 | 0.3593 | 4800 | 1.9666 | |
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| 1.7533 | 0.3706 | 4950 | 1.9663 | |
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### Framework versions |
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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 0.20.1 |
