Update README.md

README.md

@@ -1,84 +1,85 @@
----
-library_name: transformers
-language:
-- tk
-license: apache-2.0
-base_model: openai/whisper-small
-tags:
-- generated_from_trainer
-datasets:
-- mozilla-foundation/common_voice_17_0
-metrics:
-- wer
-model-index:
-- name: Whisper Small TK - Abdyrahman Gudratullayew
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Common Voice 17.0
-      type: mozilla-foundation/common_voice_17_0
-      config: tk
-      split: test
-      args: 'config: tk, split: test'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 57.933673469387756
----
-
-<!-- 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 Small TK - Abdyrahman Gudratullayew
-
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.3114
-- Wer: 57.9337
-
-## 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: 16
-- eval_batch_size: 8
-- seed: 42
-- 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     |
-|:-------------:|:-------:|:----:|:---------------:|:-------:|
-| 0.0083        | 14.0845 | 1000 | 1.1117          | 60.3571 |
-| 0.0003        | 28.1690 | 2000 | 1.2099          | 57.7041 |
-| 0.0002        | 42.2535 | 3000 | 1.2640          | 58.0102 |
-| 0.0001        | 56.3380 | 4000 | 1.2973          | 58.1378 |
-| 0.0001        | 70.4225 | 5000 | 1.3114          | 57.9337 |
-
-
-### Framework versions
-
-- Transformers 4.48.3
-- Pytorch 2.6.0+cu118
-- Datasets 3.2.0
-- Tokenizers 0.21.0
+---
+library_name: transformers
+language:
+- tk
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_17_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small TK - Abdyrahman Gudratullayew
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 17.0
+      type: mozilla-foundation/common_voice_17_0
+      config: tk
+      split: test
+      args: 'config: tk, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 57.933673469387756
+pipeline_tag: automatic-speech-recognition
+---
+
+<!-- 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 Small TK - Abdyrahman Gudratullayew
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3114
+- Wer: 57.9337
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- 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     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.0083        | 14.0845 | 1000 | 1.1117          | 60.3571 |
+| 0.0003        | 28.1690 | 2000 | 1.2099          | 57.7041 |
+| 0.0002        | 42.2535 | 3000 | 1.2640          | 58.0102 |
+| 0.0001        | 56.3380 | 4000 | 1.2973          | 58.1378 |
+| 0.0001        | 70.4225 | 5000 | 1.3114          | 57.9337 |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.6.0+cu118
+- Datasets 3.2.0
+- Tokenizers 0.21.0