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RiadhHasan
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Finetune_llama2_V6

Text Generation
TensorBoard
Trained with AutoTrain
Model card Files
xet
 Metrics Community
RiadhHasan commited on
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Files changed (23) hide show
  1. README.md +9 -0
  2. adapter_config.json +21 -0
  3. adapter_model.bin +3 -0
  4. checkpoint-50/README.md +34 -0
  5. checkpoint-50/adapter_config.json +21 -0
  6. checkpoint-50/adapter_model.bin +3 -0
  7. checkpoint-50/optimizer.pt +3 -0
  8. checkpoint-50/pytorch_model.bin +3 -0
  9. checkpoint-50/rng_state.pth +3 -0
  10. checkpoint-50/scheduler.pt +3 -0
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  12. checkpoint-50/tokenizer.json +0 -0
  13. checkpoint-50/tokenizer.model +3 -0
  14. checkpoint-50/tokenizer_config.json +32 -0
  15. checkpoint-50/trainer_state.json +319 -0
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  18. special_tokens_map.json +24 -0
  19. tokenizer.json +0 -0
  20. tokenizer.model +3 -0
  21. tokenizer_config.json +32 -0
  22. training_args.bin +3 -0
  23. training_params.json +1 -0
README.md ADDED
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+ ---
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+ tags:
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+ - autotrain
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+ - text-generation
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+ widget:
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+ - text: "I love AutoTrain because "
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+ ---
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+
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+ # Model Trained Using AutoTrain
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+ "v_proj"
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+ ---
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+ library_name: peft
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+ ---
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+ ## Training procedure
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+
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - quant_method: bitsandbytes
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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: False
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+ - bnb_4bit_compute_dtype: float16
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - quant_method: bitsandbytes
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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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+ - bnb_4bit_quant_type: nf4
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+ - bnb_4bit_use_double_quant: False
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+ - bnb_4bit_compute_dtype: float16
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+ ### Framework versions
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+
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+ - PEFT 0.6.0.dev0
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+
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+ - PEFT 0.6.0.dev0
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