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xihajun
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new_cnn_test

Text Generation
Transformers
mistral
Trained with AutoTrain
Inference Endpoints
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  1. README.md +9 -0
  2. adapter_config.json +21 -0
  3. adapter_model.bin +3 -0
  4. checkpoint-313/README.md +60 -0
  5. checkpoint-313/adapter_config.json +21 -0
  6. checkpoint-313/adapter_model.bin +3 -0
  7. checkpoint-313/optimizer.pt +3 -0
  8. checkpoint-313/pytorch_model.bin +3 -0
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  10. checkpoint-313/rng_state_1.pth +3 -0
  11. checkpoint-313/rng_state_2.pth +3 -0
  12. checkpoint-313/rng_state_3.pth +3 -0
  13. checkpoint-313/scheduler.pt +3 -0
  14. checkpoint-313/special_tokens_map.json +24 -0
  15. checkpoint-313/tokenizer.json +0 -0
  16. checkpoint-313/tokenizer.model +3 -0
  17. checkpoint-313/tokenizer_config.json +40 -0
  18. checkpoint-313/trainer_state.json +37 -0
  19. checkpoint-313/training_args.bin +3 -0
  20. checkpoint-342/README.md +60 -0
  21. checkpoint-342/adapter_config.json +21 -0
  22. checkpoint-342/adapter_model.bin +3 -0
  23. checkpoint-342/optimizer.pt +3 -0
  24. checkpoint-342/pytorch_model.bin +3 -0
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  26. checkpoint-342/rng_state_1.pth +3 -0
  27. checkpoint-342/rng_state_2.pth +3 -0
  28. checkpoint-342/rng_state_3.pth +3 -0
  29. checkpoint-342/scheduler.pt +3 -0
  30. checkpoint-342/special_tokens_map.json +24 -0
  31. checkpoint-342/tokenizer.json +0 -0
  32. checkpoint-342/tokenizer.model +3 -0
  33. checkpoint-342/tokenizer_config.json +40 -0
  34. checkpoint-342/trainer_state.json +37 -0
  35. checkpoint-342/training_args.bin +3 -0
  36. checkpoint-370/README.md +47 -0
  37. checkpoint-370/adapter_config.json +21 -0
  38. checkpoint-370/adapter_model.bin +3 -0
  39. checkpoint-370/optimizer.pt +3 -0
  40. checkpoint-370/pytorch_model.bin +3 -0
  41. checkpoint-370/rng_state_0.pth +3 -0
  42. checkpoint-370/rng_state_1.pth +3 -0
  43. checkpoint-370/rng_state_2.pth +3 -0
  44. checkpoint-370/rng_state_3.pth +3 -0
  45. checkpoint-370/scheduler.pt +3 -0
  46. checkpoint-370/special_tokens_map.json +24 -0
  47. checkpoint-370/tokenizer.json +0 -0
  48. checkpoint-370/tokenizer.model +3 -0
  49. checkpoint-370/tokenizer_config.json +40 -0
  50. checkpoint-370/trainer_state.json +43 -0
README.md ADDED
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+ ---
2
+ tags:
3
+ - autotrain
4
+ - text-generation
5
+ widget:
6
+ - text: "I love AutoTrain because "
7
+ ---
8
+
9
+ # Model Trained Using AutoTrain
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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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+ - 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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+ - load_in_8bit: False
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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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+
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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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+ - 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 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+
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+ - PEFT 0.5.0
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+ ---
2
+ library_name: peft
3
+ ---
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+ ## Training procedure
5
+
6
+
7
+ 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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+
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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_threshold: 6.0
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+ - bnb_4bit_use_double_quant: False
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+ - llm_int8_threshold: 6.0
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+ - bnb_4bit_quant_type: nf4
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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
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+
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+ - PEFT 0.5.0
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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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+ - 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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+ - 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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+ - llm_int8_enable_fp32_cpu_offload: 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
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+ - PEFT 0.5.0
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+
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+ - PEFT 0.5.0
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