End of training

README.md

@@ -6,6 +6,7 @@ tags:
 model-index:
 - name: opt-350m_bn
   results: []
+library_name: peft
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,6 +30,17 @@ 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:
@@ -49,6 +61,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
+- PEFT 0.5.0.dev0
 - Transformers 4.32.0.dev0
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.2

adapter_config.json

@@ -15,7 +15,11 @@
   "revision": null,
   "target_modules": [
     "k_proj",
-    "v_proj"
+    "v_proj",
+    "q_proj",
+    "out_proj",
+    "fc1",
+    "fc2"
   ],
   "task_type": "CAUSAL_LM"
 }

adapter_model.bin

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runs/Aug02_17-38-46_b282177827ba/events.out.tfevents.1690997929.b282177827ba.5153.3

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training_args.bin

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