Training in progress, step 10

README.md

@@ -1,31 +1,57 @@
-
 ---
-language: ky
-datasets:
-- Simonlob/Kany_dataset_mk4_Base
-metrics:
-- wer
-tags:
-- audio
-- automatic-speech-recognition
-- speech
-- xlsr-fine-tuning
+library_name: transformers
 license: apache-2.0
+base_model: the-cramer-project/AkylAI-STT-small
+tags:
+- generated_from_trainer
 model-index:
 - name: akylai-kyrgyz-stt
-  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
+  results: []
 ---
 
+<!-- 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
 
-Модель для распознавания речи на кыргызском языке, основанная на AkylAI-STT-small и дообученная на датасете Kany.
+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

model.safetensors

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