Update README.md

README.md

@@ -1,71 +1,63 @@
----
-library_name: transformers
-language:
-- kk
-license: apache-2.0
-base_model: nocturneFlow/whisper-medium-ft
-tags:
-- generated_from_trainer
-metrics:
-- wer
-model-index:
-- name: Whisper Medium KK - Kazakh - Fleurs - Common Voice
-  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. -->
-
-# Whisper Medium KK - Kazakh - Fleurs - Common Voice
-
-This model is a fine-tuned version of [nocturneFlow/whisper-medium-ft](https://huggingface.co/nocturneFlow/whisper-medium-ft) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0778
-- Wer: 10.2803
-
-## 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: 1e-05
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 32
-- 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: 500
-- training_steps: 5000
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss | Wer     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.1487        | 0.2173 | 1000 | 0.1408          | 17.6987 |
-| 0.1137        | 0.4347 | 2000 | 0.1059          | 13.7526 |
-| 0.092         | 0.6520 | 3000 | 0.0924          | 12.0276 |
-| 0.0814        | 0.8693 | 4000 | 0.0814          | 10.6566 |
-| 0.047         | 1.0865 | 5000 | 0.0778          | 10.2803 |
-
-
-### Framework versions
-
-- Transformers 4.51.3
-- Pytorch 2.6.0+cu118
-- Datasets 3.6.0
-- Tokenizers 0.21.0
+---
+library_name: transformers
+language:
+- kk
+license: apache-2.0
+base_model: nocturneFlow/whisper-medium-ft
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper Medium KK - Kazakh - Fleurs - Common Voice
+  results: []
+datasets:
+- Shirali/ISSAI_KSC_335RS_v_1_1
+- mozilla-foundation/common_voice_17_0
+- google/fleurs
+---
+
+<!-- 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. -->
+
+# Whisper Medium KK - Kazakh - Fleurs - Common Voice
+
+This model is a fine-tuned version of [nocturneFlow/whisper-medium-ft](https://huggingface.co/nocturneFlow/whisper-medium-ft) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0778
+- Wer: 10.2803
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- 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: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.1487        | 0.2173 | 1000 | 0.1408          | 17.6987 |
+| 0.1137        | 0.4347 | 2000 | 0.1059          | 13.7526 |
+| 0.092         | 0.6520 | 3000 | 0.0924          | 12.0276 |
+| 0.0814        | 0.8693 | 4000 | 0.0814          | 10.6566 |
+| 0.047         | 1.0865 | 5000 | 0.0778          | 10.2803 |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu118
+- Datasets 3.6.0
+- Tokenizers 0.21.0