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AR-javis
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my_demo_repo

Text Generation
Transformers
PyTorch
TensorBoard
Safetensors
llama
Trained with AutoTrain
text-generation-inference
Model card Files
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AR-javis commited on
Commit
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Files changed (25) hide show
  1. README.md +9 -0
  2. adapter_config.json +21 -0
  3. adapter_model.bin +3 -0
  4. checkpoint-43/README.md +32 -0
  5. checkpoint-43/adapter_config.json +21 -0
  6. checkpoint-43/adapter_model.bin +3 -0
  7. checkpoint-43/optimizer.pt +3 -0
  8. checkpoint-43/pytorch_model.bin +3 -0
  9. checkpoint-43/rng_state.pth +3 -0
  10. checkpoint-43/scheduler.pt +3 -0
  11. checkpoint-43/special_tokens_map.json +24 -0
  12. checkpoint-43/tokenizer.json +0 -0
  13. checkpoint-43/tokenizer.model +3 -0
  14. checkpoint-43/tokenizer_config.json +34 -0
  15. checkpoint-43/trainer_state.json +46 -0
  16. checkpoint-43/training_args.bin +3 -0
  17. config.json +26 -0
  18. generation_config.json +7 -0
  19. pytorch_model.bin +3 -0
  20. runs/Jul26_11-14-37_2e2fe09413fb/events.out.tfevents.1690370078.2e2fe09413fb.5842.0 +3 -0
  21. special_tokens_map.json +23 -0
  22. tokenizer.json +0 -0
  23. tokenizer.model +3 -0
  24. tokenizer_config.json +34 -0
  25. training_args.bin +3 -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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+ "base_model_name_or_path": "openlm-research/open_llama_3b_v2",
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+ "bias": "none",
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+ "inference_mode": true,
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+ "layers_to_transform": null,
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+ "lora_dropout": 0.05,
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 16,
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+ "revision": null,
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+ "target_modules": [
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+ "q_proj",
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+ "v_proj"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
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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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+ - 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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+ - 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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+ ### Framework versions
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+
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+ - PEFT 0.5.0.dev0
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+
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+ - PEFT 0.5.0.dev0
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