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README.md
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model-index:
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- name: mistral-finetuned-samsum_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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## 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 4.35.0.dev0
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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: mistral-finetuned-samsum_5epochs
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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
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: gptq
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- bits: 4
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- tokenizer: None
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- dataset: None
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- group_size: 128
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- damp_percent: 0.1
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- desc_act: True
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- sym: True
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- true_sequential: True
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- use_cuda_fp16: False
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- model_seqlen: None
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- block_name_to_quantize: None
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- module_name_preceding_first_block: None
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- batch_size: 1
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- pad_token_id: None
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- disable_exllama: True
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- max_input_length: None
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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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- PEFT 0.5.0
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- Transformers 4.35.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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