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--- |
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library_name: peft |
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license: cc-by-sa-4.0 |
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base_model: defog/sqlcoder-7b-2 |
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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: 0500d330-04bb-4f34-8098-fa82b37d034e |
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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: defog/sqlcoder-7b-2 |
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bf16: auto |
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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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- 996120a1458c75c0_train_data.json |
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ds_type: json |
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format: custom |
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path: /workspace/input_data/996120a1458c75c0_train_data.json |
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type: |
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field_input: chosen |
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field_instruction: prompt |
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field_output: rejected |
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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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device_map: auto |
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do_eval: true |
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early_stopping_patience: 3 |
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eval_batch_size: 4 |
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eval_max_new_tokens: 128 |
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eval_steps: 300 |
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eval_table_size: null |
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evals_per_epoch: null |
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flash_attention: true |
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fp16: false |
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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: true |
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hub_model_id: robiulawaldev/0500d330-04bb-4f34-8098-fa82b37d034e |
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hub_strategy: end |
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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: 50 |
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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: constant |
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max_grad_norm: 1.0 |
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max_memory: |
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0: 75GB |
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max_steps: 8884 |
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micro_batch_size: 4 |
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mlflow_experiment_name: /tmp/996120a1458c75c0_train_data.json |
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model_type: AutoModelForCausalLM |
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num_epochs: 10 |
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optim_args: |
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adam_beta1: 0.9 |
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adam_beta2: 0.95 |
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adam_epsilon: 1e-5 |
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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: 300 |
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saves_per_epoch: null |
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sequence_len: 512 |
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special_tokens: |
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pad_token: </s> |
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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: 0.05 |
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wandb_entity: null |
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wandb_mode: online |
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wandb_name: 1516f5b9-e950-43d8-b8e5-89b1b7b87690 |
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wandb_project: SN56-36 |
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wandb_run: your_name |
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wandb_runid: 1516f5b9-e950-43d8-b8e5-89b1b7b87690 |
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warmup_steps: 50 |
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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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# 0500d330-04bb-4f34-8098-fa82b37d034e |
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This model is a fine-tuned version of [defog/sqlcoder-7b-2](https://huggingface.co/defog/sqlcoder-7b-2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6436 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 8884 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0.0003 | 1 | 0.9930 | |
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| 0.6963 | 0.0819 | 300 | 0.7392 | |
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| 0.6672 | 0.1639 | 600 | 0.7069 | |
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| 0.6857 | 0.2458 | 900 | 0.6906 | |
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| 0.6471 | 0.3277 | 1200 | 0.6816 | |
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| 0.663 | 0.4097 | 1500 | 0.6697 | |
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| 0.6423 | 0.4916 | 1800 | 0.6693 | |
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| 0.649 | 0.5735 | 2100 | 0.6612 | |
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| 0.6386 | 0.6555 | 2400 | 0.6559 | |
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| 0.623 | 0.7374 | 2700 | 0.6499 | |
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| 0.6216 | 0.8193 | 3000 | 0.6462 | |
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| 0.6363 | 0.9013 | 3300 | 0.6501 | |
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| 0.6333 | 0.9832 | 3600 | 0.6404 | |
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| 0.5435 | 1.0651 | 3900 | 0.6415 | |
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| 0.5375 | 1.1471 | 4200 | 0.6323 | |
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| 0.5575 | 1.2290 | 4500 | 0.6342 | |
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| 0.5651 | 1.3109 | 4800 | 0.6326 | |
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| 0.5408 | 1.3929 | 5100 | 0.6281 | |
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| 0.5521 | 1.4748 | 5400 | 0.6309 | |
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| 0.5557 | 1.5567 | 5700 | 0.6316 | |
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| 0.5502 | 1.6387 | 6000 | 0.6255 | |
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| 0.5558 | 1.7206 | 6300 | 0.6257 | |
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| 0.5438 | 1.8025 | 6600 | 0.6208 | |
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| 0.5485 | 1.8845 | 6900 | 0.6270 | |
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| 0.5442 | 1.9664 | 7200 | 0.6258 | |
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| 0.4385 | 2.0483 | 7500 | 0.6436 | |
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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 |
