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Upload task output 73fe8c66-6860-4437-8f6b-c2a2e7738ffa

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+ ---
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+ library_name: peft
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+ tags:
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+ - axolotl
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+ - base_model:adapter:/cache/models/samoline--77ac7486-9606-42a1-a847-be5998bb133c
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+ - lora
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+ - transformers
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+ pipeline_tag: text-generation
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+ base_model: samoline/77ac7486-9606-42a1-a847-be5998bb133c
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+ model-index:
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+ - name: app/checkpoints/73fe8c66-6860-4437-8f6b-c2a2e7738ffa/5781d468-8ce5-440d-8888-8e49c6b018ef
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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: `0.12.0.dev0`
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+ ```yaml
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+ adapter: lora
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+ base_model: samoline/77ac7486-9606-42a1-a847-be5998bb133c
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+ bf16: true
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+ chat_template: llama3
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+ cosine_min_lr_ratio: 0.3
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+ dataloader_num_workers: 12
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+ dataset_prepared_path: null
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+ datasets:
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+ - data_files:
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+ - 73fe8c66-6860-4437-8f6b-c2a2e7738ffa_train_data.json
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+ ds_type: json
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+ format: custom
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+ path: /workspace/axolotl/data
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+ type:
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+ field_input: input
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+ field_instruction: instruct
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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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+ ddp: true
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+ debug: null
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+ deepspeed: null
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+ device_map: cuda
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+ early_stopping_patience: null
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+ eval_max_new_tokens: 128
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+ eval_steps: null
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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: 1
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+ gradient_checkpointing: true
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+ gradient_checkpointing_kwargs:
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+ use_reentrant: false
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+ group_by_length: true
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+ hub_model_id: null
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+ hub_private_repo: false
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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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+ liger_fused_linear_cross_entropy: true
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+ liger_glu_activation: true
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+ liger_layer_norm: true
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+ liger_rms_norm: true
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+ liger_rope: 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: null
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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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+ loraplus_lr_embedding: 1.0e-06
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+ loraplus_lr_ratio: 16
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+ lr_scheduler: cosine
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+ max_grad_norm: 1
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+ max_steps: 30
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+ micro_batch_size: 28
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+ mlflow_experiment_name: /workspace/axolotl/data/73fe8c66-6860-4437-8f6b-c2a2e7738ffa_train_data.json
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+ model_card: false
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+ model_type: AutoModelForCausalLM
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+ num_epochs: 200
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+ optimizer: adamw_bnb_8bit
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+ output_dir: /app/checkpoints/73fe8c66-6860-4437-8f6b-c2a2e7738ffa/5781d468-8ce5-440d-8888-8e49c6b018ef
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+ pad_to_sequence_len: true
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+ plugins:
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+ - axolotl.integrations.liger.LigerPlugin
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+ push_every_save: true
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+ push_to_hub: true
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+ resume_from_checkpoint: null
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+ rl: null
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+ s2_attention: null
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+ sample_packing: true
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+ save_steps: 100
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+ save_strategy: steps
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+ save_total_limit: 1
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+ saves_per_epoch: 0
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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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+ trl: null
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+ trust_remote_code: false
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+ use_liger: true
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+ val_set_size: 0.0
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+ wandb_mode: offline
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+ wandb_name: 73fe8c66-6860-4437-8f6b-c2a2e7738ffa_5781d468-8ce5-440d-8888-8e49c6b018ef
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+ wandb_project: Gradients-On-Demand
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+ wandb_run: null
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+ wandb_runid: 73fe8c66-6860-4437-8f6b-c2a2e7738ffa_5781d468-8ce5-440d-8888-8e49c6b018ef
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+ warmup_steps: 30
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+ weight_decay: 0
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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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+ # app/checkpoints/73fe8c66-6860-4437-8f6b-c2a2e7738ffa/5781d468-8ce5-440d-8888-8e49c6b018ef
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+
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+ This model was trained from scratch on the None dataset.
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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: 28
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+ - eval_batch_size: 28
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+ - seed: 42
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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: 30
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+ - training_steps: 30
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.17.0
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+ - Transformers 4.54.1
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+ - Pytorch 2.7.1+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.21.4
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+ "loftq_config": {},
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+ "lora_bias": false,
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+ "lora_dropout": 0.05,
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "qalora_group_size": 16,
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+ "r": 32,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "v_proj",
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+ "up_proj",
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+ "o_proj",
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+ "q_proj",
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+ "gate_proj",
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+ "k_proj",
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+ "down_proj"
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+ ],
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+ "target_parameters": [],
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+ "task_type": "CAUSAL_LM",
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+ "trainable_token_indices": null,
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+ "use_dora": false,
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+ "use_qalora": false,
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+ "use_rslora": false
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+ }
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+ {% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>
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+
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+ '+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>
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+
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+ ' }}{% endif %}
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+ ---
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+ base_model: /cache/models/samoline--77ac7486-9606-42a1-a847-be5998bb133c
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+ library_name: peft
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+ pipeline_tag: text-generation
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+ tags:
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+ - axolotl
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+ - base_model:adapter:/cache/models/samoline--77ac7486-9606-42a1-a847-be5998bb133c
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+ - lora
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+ - transformers
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+
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+
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
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+
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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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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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+
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+ #### Speeds, Sizes, Times [optional]
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ [More Information Needed]
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+
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+ ## Evaluation
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
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+ [More Information Needed]
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+
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+ ### Results
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+
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+ [More Information Needed]
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+
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+ #### Summary
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+
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+
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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+
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+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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+
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+
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+ - **Hardware Type:** [More Information Needed]
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+ - **Hours used:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Compute Region:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ### Compute Infrastructure
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+
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+ [More Information Needed]
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+
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+ #### Hardware
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+
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+ [More Information Needed]
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+
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+ #### Software
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+
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+ [More Information Needed]
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+
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+ ## Citation [optional]
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+
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+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Authors [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Contact
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+
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+ [More Information Needed]
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+ ### Framework versions
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+
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+ - PEFT 0.17.0
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