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README.md CHANGED
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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ library_name: peft
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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: False
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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: nf4
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+ - bnb_4bit_use_double_quant: True
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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: False
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+ - load_in_8bit: False
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+ ### Framework versions
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+
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+
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+ - PEFT 0.4.0
adapter_config.json ADDED
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+ {
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "sentence-transformers/all-distilroberta-v1",
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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": 0.0,
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 64,
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+ "revision": null,
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+ "target_modules": [
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+ "query",
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+ "dense",
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+ "value",
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+ "key"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
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+ version https://git-lfs.github.com/spec/v1
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+ size 21637472
config.json ADDED
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merge.py ADDED
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+ ##cat merge.py
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+ import json
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+
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+ # List of JSON files to merge
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+ json_files = [
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+ "tokenizer.json",
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+ "tokenizer_config.json",
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+ "special_tokens_map.json",
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+ "adapter_config.json",
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+ "trainer_state.json"
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+ ]
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+
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+ # Initialize an empty dictionary to store the merged data
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+ merged_data = {}
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+
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+ # Iterate over the JSON files and merge their contents
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+ for file_path in json_files:
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+ with open(file_path) as file:
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+ data = json.load(file)
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+ merged_data.update(data)
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+
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+ # Write the merged data to the output file
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+ with open("config.json", "w") as output_file:
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+ json.dump(merged_data, output_file, indent=2)
merges.txt ADDED
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optimizer.pt ADDED
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special_tokens_map.json ADDED
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+ {
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ "special": true
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+ "tokenizer_class": "RobertaTokenizer",
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+ "trim_offsets": true,
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+ "truncation_strategy": "longest_first",
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+ "unk_token": "<unk>"
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+ }
trainer_state.json ADDED
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vocab.json ADDED
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