End of training

README.md

@@ -42,6 +42,17 @@ More information needed
 
 ## Training procedure
 
+
+The following `bitsandbytes` quantization config was used during training:
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: True
+- bnb_4bit_compute_dtype: bfloat16
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
@@ -76,6 +87,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
+- PEFT 0.4.0
 - Transformers 4.31.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.13.1

runs/Jul24_13-52-56_10a640161224/events.out.tfevents.1690206779.10a640161224.22353.0

@@ -1,3 +1,3 @@
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+size 23462