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update model card README.md

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@@ -7,7 +7,6 @@ metrics:
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  model-index:
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  - name: llama-2-13b-reward-oasst1
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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
@@ -34,17 +33,6 @@ More information needed
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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:
@@ -78,7 +66,6 @@ The following hyperparameters were used during training:
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  ### Framework versions
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- - PEFT 0.5.0.dev0
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  - Transformers 4.32.0.dev0
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.14.0
 
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  model-index:
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  - name: llama-2-13b-reward-oasst1
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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
 
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  ## Training procedure
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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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  - Transformers 4.32.0.dev0
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.14.0