Upload README.md with huggingface_hub

README.md

@@ -1,57 +1,31 @@
+
 ---
-library_name: transformers
-license: apache-2.0
-base_model: the-cramer-project/AkylAI-STT-small
+language: ky
+datasets:
+- Simonlob/Kany_dataset_mk4_Base
+metrics:
+- wer
 tags:
-- generated_from_trainer
+- audio
+- automatic-speech-recognition
+- speech
+- xlsr-fine-tuning
+license: apache-2.0
 model-index:
 - name: akylai-kyrgyz-stt
-  results: []
+  results:
+  - task:
+      name: Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Kany Dataset
+      type: Simonlob/Kany_dataset_mk4_Base
+    metrics:
+    - name: Test WER
+      type: wer
+      value: N/A
 ---
 
-<!-- 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. -->
-
 # akylai-kyrgyz-stt
 
-This model is a fine-tuned version of [the-cramer-project/AkylAI-STT-small](https://huggingface.co/the-cramer-project/AkylAI-STT-small) on an unknown dataset.
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 0.0001
-- train_batch_size: 4
-- eval_batch_size: 4
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 16
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 100
-- num_epochs: 10
-- mixed_precision_training: Native AMP
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.50.3
-- Pytorch 2.6.0+cu124
-- Datasets 3.5.0
-- Tokenizers 0.21.1
+Модель для распознавания речи на кыргызском языке, основанная на AkylAI-STT-small и дообученная на датасете Kany.