nocturneFlow
/

whisper-medium-ft

@@ -1,71 +1,74 @@
----
-library_name: transformers
-language:
-- kk
-license: apache-2.0
-base_model: openai/whisper-medium
-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 [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.3910
-- Wer: 21.2101
-## 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     |
-|:-------------:|:-------:|:----:|:---------------:|:-------:|
-| 0.0045        | 7.5725  | 1000 | 0.3121          | 23.2826 |
-| 0.0003        | 15.1507 | 2000 | 0.3523          | 21.3939 |
-| 0.0001        | 22.7232 | 3000 | 0.3738          | 21.3661 |
-| 0.0001        | 30.3013 | 4000 | 0.3863          | 21.3772 |
-| 0.0001        | 37.8738 | 5000 | 0.3910          | 21.2101 |
-### 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: openai/whisper-medium
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper Medium KK - Kazakh - Fleurs - Common Voice
+  results: []
+datasets:
+- google/fleurs
+- mozilla-foundation/common_voice_17_0
+---
+<!-- 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 [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3910
+- Wer: 21.2101
+## 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     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.0045        | 7.5725  | 1000 | 0.3121          | 23.2826 |
+| 0.0003        | 15.1507 | 2000 | 0.3523          | 21.3939 |
+| 0.0001        | 22.7232 | 3000 | 0.3738          | 21.3661 |
+| 0.0001        | 30.3013 | 4000 | 0.3863          | 21.3772 |
+| 0.0001        | 37.8738 | 5000 | 0.3910          | 21.2101 |
+### Framework versions
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu118
+- Datasets 3.6.0
+- Tokenizers 0.21.0