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qlora

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shouray/Condition-Model

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  1. README.md +82 -0
  2. adapter_config.json +31 -0
  3. adapter_model.safetensors +3 -0
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README.md ADDED
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+ ---
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+ license: llama2
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: TheBloke/Llama-2-13B-chat-GPTQ
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+ model-index:
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+ - name: qlora
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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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+ # qlora
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+
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+ This model is a fine-tuned version of [TheBloke/Llama-2-13B-chat-GPTQ](https://huggingface.co/TheBloke/Llama-2-13B-chat-GPTQ) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2281
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 2
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+ - training_steps: 30
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+ - mixed_precision_training: Native AMP
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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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+ | 1.7256 | 1.0 | 1 | 2.3492 |
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+ | 0.8422 | 2.0 | 3 | 2.0594 |
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+ | 0.7278 | 3.0 | 5 | 1.6949 |
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+ | 1.2299 | 4.0 | 6 | 1.5504 |
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+ | 1.1219 | 5.0 | 7 | 1.4207 |
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+ | 0.4884 | 6.0 | 9 | 1.2156 |
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+ | 0.4229 | 7.0 | 11 | 0.9934 |
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+ | 0.7082 | 8.0 | 12 | 0.8837 |
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+ | 0.6263 | 9.0 | 13 | 0.7754 |
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+ | 0.2502 | 10.0 | 15 | 0.5958 |
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+ | 0.1915 | 11.0 | 17 | 0.4347 |
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+ | 0.2841 | 12.0 | 18 | 0.3766 |
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+ | 0.2395 | 13.0 | 19 | 0.3339 |
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+ | 0.0959 | 14.0 | 21 | 0.2914 |
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+ | 0.0808 | 15.0 | 23 | 0.2631 |
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+ | 0.1391 | 16.0 | 24 | 0.2533 |
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+ | 0.13 | 17.0 | 25 | 0.2434 |
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+ | 0.0589 | 18.0 | 27 | 0.2357 |
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+ | 0.0558 | 19.0 | 29 | 0.2298 |
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+ | 0.1076 | 20.0 | 30 | 0.2281 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.11.1
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+ - Transformers 4.41.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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+ {
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+ "alpha_pattern": {},
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "TheBloke/Llama-2-13B-chat-GPTQ",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layer_replication": null,
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+ "layers_to_transform": null,
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+ "loftq_config": {},
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+ "lora_alpha": 32,
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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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+ "r": 8,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "k_proj",
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+ "q_proj",
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+ "o_proj",
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+ "v_proj"
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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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