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llama2-finance

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README.md CHANGED
@@ -7,6 +7,7 @@ datasets:
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  model-index:
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  - name: llama2-finance
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  results: []
 
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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
@@ -32,6 +33,17 @@ More information needed
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  ## Training procedure
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
@@ -51,6 +63,7 @@ The following hyperparameters were used during training:
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  ### Framework versions
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  - Transformers 4.31.0
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  - Pytorch 2.0.1+cu117
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  - Datasets 2.14.4
 
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  model-index:
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  - name: llama2-finance
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  results: []
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+ library_name: peft
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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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  ## Training procedure
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+
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+ The following `bitsandbytes` quantization config was used during training:
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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: nf4
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+ - bnb_4bit_use_double_quant: False
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+ - bnb_4bit_compute_dtype: float16
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  ### Framework versions
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+ - PEFT 0.4.0
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  - Transformers 4.31.0
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  - Pytorch 2.0.1+cu117
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  - Datasets 2.14.4
final_checkpoint/README.md ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ - 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: nf4
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+ - bnb_4bit_use_double_quant: False
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+ - bnb_4bit_compute_dtype: float16
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+ ### Framework versions
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+
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+
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+ - PEFT 0.4.0
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