Update README.md

README.md

@@ -1,6 +1,67 @@
 ---
 library_name: peft
 ---
+---
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: vi_whisper-small
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: vin100h
+      type: vin
+      config: None
+      split: None
+    metrics:
+    - name: Wer
+      type: wer
+      value: 21.8855
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- training_steps: 8000
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- Pytorch 2.0.1+cu11.8
+- Datasets 2.13.1
+- Tokenizers 0.13.3
+- PEFT 0.5.0.dev0
 ## Training procedure
 
 
@@ -14,7 +75,6 @@ The following `bitsandbytes` quantization config was used during training:
 - bnb_4bit_quant_type: fp4
 - bnb_4bit_use_double_quant: False
 - bnb_4bit_compute_dtype: float32
-### Framework versions
 
 
-- PEFT 0.5.0.dev0
+