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@@ -4,14 +4,14 @@ base_model: KT-AI/midm-bitext-S-7B-inst-v1
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: lora-midm-7b-food-order-understanding
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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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  should probably proofread and complete it, then remove this comment. -->
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- # lora-midm-7b-food-order-understanding
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  This model is a fine-tuned version of [KT-AI/midm-bitext-S-7B-inst-v1](https://huggingface.co/KT-AI/midm-bitext-S-7B-inst-v1) on an unknown dataset.
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@@ -46,6 +46,14 @@ The following hyperparameters were used during training:
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  ### Training results
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  ### Framework versions
@@ -54,3 +62,5 @@ The following hyperparameters were used during training:
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.15.0
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  - Tokenizers 0.15.0
 
 
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: midm-7B-nsmc
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # midm-7B-nsmc
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  This model is a fine-tuned version of [KT-AI/midm-bitext-S-7B-inst-v1](https://huggingface.co/KT-AI/midm-bitext-S-7B-inst-v1) on an unknown dataset.
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  ### Training results
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+ - global_step=300
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+ - training_loss=1.1095316060384115
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+ - metrics={'train_runtime': 1012.8423,
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+ 'train_samples_per_second': 0.592,
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+ 'train_steps_per_second': 0.296,
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+ 'total_flos': 9315508499251200.0,
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+ 'train_loss': 1.1095316060384115,
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+ 'epoch': 0.3}
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  ### Framework versions
 
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.15.0
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  - Tokenizers 0.15.0
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+
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+ ### Accuracy