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  1. README.md +4 -4
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@@ -7,16 +7,16 @@ tags:
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  - full
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  - generated_from_trainer
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  model-index:
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- - name: persuasion_simulation_qwen2.5-7b_sft_w_promp_5epochs
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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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- # persuasion_simulation_qwen2.5-7b_sft_w_promp_5epochs
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- This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the persuasion_simulation dataset.
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  ## Model description
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@@ -47,7 +47,7 @@ The following hyperparameters were used during training:
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 5.0
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  ### Training results
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  - full
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  - generated_from_trainer
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  model-index:
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+ - name: persuasion_simulation_qwen2.5_7b_sft_w_promp_3epochs
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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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+ # persuasion_simulation_qwen2.5_7b_sft_w_promp_3epochs
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+ This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on an unknown dataset.
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  ## Model description
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 3.0
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  ### Training results
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