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End of training

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README.md ADDED
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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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+
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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: 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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+ ```
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+
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+ </details><br>
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+
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+ # 0500d330-04bb-4f34-8098-fa82b37d034e
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+
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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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+
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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: 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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+
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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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+ | 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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+
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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 0.20.1
adapter_config.json ADDED
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+ "loftq_config": {},
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+ "megatron_core": "megatron.core",
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+ "peft_type": "LORA",
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+ "r": 32,
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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+ {
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+ "▁<EOT>",
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+ "▁<EOT>"
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+ "content": "▁<EOT>",
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+ "▁<EOT>",
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+ "▁<EOT>"
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+ "bos_token": "<s>",
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+ "chat_template": "{% 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|>\n\n'+ 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|>\n\n' }}{% endif %}",
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+ "eot_token": "▁<EOT>",
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