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README.md
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---
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base_model: unsloth/llama-2-7b-bnb-4bit
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library_name: peft
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license: apache-2.0
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datasets: hermeschen1116/daily_dialog_for_RG
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tags:
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- trl
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- unsloth
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model-index:
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- name: response_generator_for_emotion_chat_bot
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results: []
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language:
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- en
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pipeline_tag: text-generation
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metrics:
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- accuracy
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- f1-score
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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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# Response Generator for [Emotion Chat Bot](https://github.com/hermeschen1116/chat-bot)
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This model is a fine-tuned version of [unsloth/llama-2-7b-bnb-4bit](https://huggingface.co/unsloth/llama-2-7b-bnb-4bit) on [hermeschen1116/daily_dialog_for_RG](https://huggingface.co/datasets/hermeschen1116/daily_dialog_for_RG), self modified version of [daily_dialog](li2017dailydialog/daily_dialog).
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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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:
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- system_prompt: ""
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- learning_rate: 0.0002
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- weight_decay: 0.001
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- max_grad_norm: 0.3
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- warmup_ratio: 0.03
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- max_steps: -1
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- train_batch_size: 4
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- seed: 42
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- optimizer: paged_adamw_32bit 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: 1
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- init_lora_weights: true
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- lora_rank: 16
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- lora_alpha: 16
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- lora_dropout: 0.1
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- use_rslora: true
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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- Trl 0.8.6
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- Bitsandbytes
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