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--- |
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license: other |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: khanhdhq/finetune_vietcuna_3b_qlora_e1_lr0.0002 |
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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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should probably proofread and complete it, then remove this comment. --> |
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# khanhdhq/finetune_vietcuna_3b_qlora_e1_lr0.0002 |
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This model is a fine-tuned version of [vilm/vietcuna-3b](https://huggingface.co/vilm/vietcuna-3b) on an unknown dataset. |
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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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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: True |
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- bnb_4bit_compute_dtype: bfloat16 |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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### Training results |
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### Framework versions |
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- PEFT 0.4.0.dev0 |
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- Transformers 4.31.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.0 |
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- Tokenizers 0.13.3 |
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