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README.md

@@ -2,9 +2,9 @@
 language:
 - ro
 license: apache-2.0
-base_model: openai/whisper-small
 tags:
 - generated_from_trainer
+base_model: openai/whisper-small
 datasets:
 - mozilla-foundation/common_voice_11_0
 metrics:
@@ -13,8 +13,8 @@ model-index:
 - name: Whisper Small Ro - IAzari
   results:
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: Common Voice 11.0 Ro
       type: mozilla-foundation/common_voice_11_0
@@ -22,9 +22,9 @@ model-index:
       split: None
       args: 'config: ro, split: test'
     metrics:
-    - name: Wer
-      type: wer
+    - type: wer
       value: 20.807789397764154
+      name: Wer
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You

adapter_config.json

@@ -0,0 +1,32 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "WhisperForConditionalGeneration",
+    "parent_library": "transformers.models.whisper.modeling_whisper"
+  },
+  "base_model_name_or_path": "openai/whisper-small",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5d3958b6b3395b5978ae05b88aa47699531eaf5314f4097e0995dcc94289b588
+size 14176064