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PuffedLIMA13bQLORA

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Training in progress, epoch 1, checkpoint

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Files changed (11) hide show
  1. checkpoint-3954/README.md +21 -0
  2. checkpoint-3954/adapter_config.json +29 -0
  3. checkpoint-3954/adapter_model.bin +3 -0
  4. checkpoint-3954/adapter_model/README.md +21 -0
  5. checkpoint-3954/adapter_model/adapter_config.json +29 -0
  6. checkpoint-3954/adapter_model/adapter_model.bin +3 -0
  7. checkpoint-3954/optimizer.pt +3 -0
  8. checkpoint-3954/rng_state.pth +3 -0
  9. checkpoint-3954/scheduler.pt +3 -0
  10. checkpoint-3954/trainer_state.json +0 -0
  11. checkpoint-3954/training_args.bin +3 -0
checkpoint-3954/README.md ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: True
10
+ - load_in_4bit: False
11
+ - 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
14
+ - llm_int8_has_fp16_weight: False
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+ - bnb_4bit_quant_type: fp4
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+ - bnb_4bit_use_double_quant: False
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+ - bnb_4bit_compute_dtype: float32
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+ ### Framework versions
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+
20
+
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+ - PEFT 0.6.0.dev0
checkpoint-3954/adapter_config.json ADDED
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+ {
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "NousResearch/Llama-2-13b-hf",
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+ "bias": "none",
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+ "fan_in_fan_out": null,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "lora_alpha": 256,
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+ "lora_dropout": 0.05,
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+ "modules_to_save": [
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+ "embed_tokens",
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+ "lm_head"
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+ ],
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+ "peft_type": "LORA",
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+ "r": 128,
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+ "revision": null,
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+ "target_modules": [
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+ "v_proj",
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+ "down_proj",
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+ "up_proj",
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+ "q_proj",
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+ "k_proj",
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+ "gate_proj",
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+ "o_proj"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
checkpoint-3954/adapter_model.bin ADDED
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checkpoint-3954/adapter_model/README.md ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - quant_method: bitsandbytes
9
+ - load_in_8bit: True
10
+ - load_in_4bit: False
11
+ - llm_int8_threshold: 6.0
12
+ - llm_int8_skip_modules: None
13
+ - llm_int8_enable_fp32_cpu_offload: False
14
+ - llm_int8_has_fp16_weight: False
15
+ - bnb_4bit_quant_type: fp4
16
+ - bnb_4bit_use_double_quant: False
17
+ - bnb_4bit_compute_dtype: float32
18
+ ### Framework versions
19
+
20
+
21
+ - PEFT 0.6.0.dev0
checkpoint-3954/adapter_model/adapter_config.json ADDED
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+ "base_model_name_or_path": "NousResearch/Llama-2-13b-hf",
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+ "lora_alpha": 256,
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+ "lora_dropout": 0.05,
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+ "modules_to_save": [
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+ "embed_tokens",
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+ "lm_head"
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+ "peft_type": "LORA",
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+ "r": 128,
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+ "task_type": "CAUSAL_LM"
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