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update model card README.md

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  1. README.md +1 -14
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@@ -5,7 +5,6 @@ tags:
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  model-index:
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  - name: results_modified
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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
@@ -29,17 +28,6 @@ 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:
@@ -50,7 +38,7 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: constant
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  - lr_scheduler_warmup_ratio: 0.03
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- - num_epochs: 40
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  ### Training results
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@@ -58,7 +46,6 @@ 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+cu118
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  - Datasets 2.14.5
 
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  model-index:
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  - name: results_modified
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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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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: constant
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  - lr_scheduler_warmup_ratio: 0.03
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+ - num_epochs: 80
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  ### Training results
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  ### Framework versions
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  - Transformers 4.31.0
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.14.5