End of training

README.md

@@ -6,26 +6,9 @@ license: apache-2.0
 base_model: openai/whisper-tiny
 tags:
 - generated_from_trainer
-datasets:
-- mozilla-foundation/common_voice_17_0
-metrics:
-- wer
 model-index:
 - name: Whisper Tiny finetuned RU
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Common Voice 17.0
-      type: mozilla-foundation/common_voice_17_0
-      config: ru
-      split: None
-      args: 'config: ru, split: test'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 41.04365802952346
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,10 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper Tiny finetuned RU
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 17.0 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5156
-- Wer: 41.0437
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
 
 ## Model description
 
@@ -55,27 +35,23 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 5e-06
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 250
-- training_steps: 4000
+- training_steps: 12000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.511         | 0.2187 | 2000 | 0.5548          | 43.4606 |
-| 0.4345        | 0.4374 | 4000 | 0.5156          | 41.0437 |
 
 
 ### Framework versions
 
 - Transformers 4.45.2
 - Pytorch 2.4.0
-- Datasets 3.0.1
-- Tokenizers 0.20.0
+- Datasets 3.1.0
+- Tokenizers 0.20.3

model.safetensors

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training_args.bin

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