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test-fine-tune

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  1. README.md +70 -0
  2. adapter_config.json +23 -0
  3. adapter_model.safetensors +3 -0
  4. emissions.csv +25 -0
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  34. runs/May11_21-57-12_DESKTOP-HH0RPGN/events.out.tfevents.1715439438.DESKTOP-HH0RPGN.13684.0 +3 -0
  35. special_tokens_map.json +23 -0
  36. tokenizer.model +3 -0
  37. tokenizer_config.json +53 -0
  38. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: aisingapore/sea-lion-7b-instruct
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: test-fine-tune
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+ results: []
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+ library_name: peft
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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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+ # test-fine-tune
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+
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+ This model is a fine-tuned version of [aisingapore/sea-lion-7b-instruct](https://huggingface.co/aisingapore/sea-lion-7b-instruct) 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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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - quant_method: QuantizationMethod.BITS_AND_BYTES
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+ - _load_in_8bit: False
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+ - _load_in_4bit: True
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+ - llm_int8_threshold: 6.0
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+ - llm_int8_skip_modules: None
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+ - llm_int8_enable_fp32_cpu_offload: False
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+ - llm_int8_has_fp16_weight: False
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+ - bnb_4bit_quant_type: fp4
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+ - bnb_4bit_use_double_quant: False
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+ - bnb_4bit_compute_dtype: float32
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+ - bnb_4bit_quant_storage: uint8
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+ - load_in_4bit: True
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+ - load_in_8bit: False
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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: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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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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+ - num_epochs: 3
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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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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.5.0
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+ - Transformers 4.39.1
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.14.5
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+ - Tokenizers 0.15.2
adapter_config.json ADDED
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+ {
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "aisingapore/sea-lion-7b-instruct",
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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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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "lora_alpha": 16,
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+ "lora_dropout": 0.05,
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 16,
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+ "revision": null,
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+ "target_modules": [
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+ "down_proj",
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+ "out_proj",
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+ "up_proj",
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+ "Wqkv"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
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