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README.md

@@ -4,28 +4,6 @@ library_name: peft
 ## Training procedure
 
 
-The following `bitsandbytes` quantization config was used during training:
-- load_in_8bit: True
-- load_in_4bit: False
-- 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: fp4
-- bnb_4bit_use_double_quant: False
-- bnb_4bit_compute_dtype: float32
-
-The following `bitsandbytes` quantization config was used during training:
-- load_in_8bit: True
-- load_in_4bit: False
-- 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: fp4
-- bnb_4bit_use_double_quant: False
-- bnb_4bit_compute_dtype: float32
-
 The following `bitsandbytes` quantization config was used during training:
 - load_in_8bit: True
 - load_in_4bit: False
@@ -38,7 +16,5 @@ The following `bitsandbytes` quantization config was used during training:
 - bnb_4bit_compute_dtype: float32
 ### Framework versions
 
-- PEFT 0.4.0.dev0
-- PEFT 0.4.0.dev0
 
-- PEFT 0.4.0.dev0
+- PEFT 0.5.0.dev0

adapter_config.json

@@ -1,4 +1,8 @@
 {
+  "auto_mapping": {
+    "base_model_class": "WhisperForConditionalGeneration",
+    "parent_library": "transformers.models.whisper.modeling_whisper"
+  },
   "base_model_name_or_path": "openai/whisper-large-v2",
   "bias": "none",
   "fan_in_fan_out": false,
@@ -7,7 +11,7 @@
   "layers_pattern": null,
   "layers_to_transform": null,
   "lora_alpha": 64,
-  "lora_dropout": 0.05,
+  "lora_dropout": 0.5,
   "modules_to_save": null,
   "peft_type": "LORA",
   "r": 32,

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8fcde9a77c83fc61b14150bc125e4b6b1789c70102f2b4135429c4116261f5a1
+oid sha256:db0f9e088643085f3a5354789fca316857d50e94740262846ba057e189caeecb
 size 63056269