End of training

README.md

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+---
+language:
+- pl
+license: apache-2.0
+base_model: Maks545curve/whisper-small-new-ru-a
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_17_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small new-ru-pl AIIA
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 17
+      type: mozilla-foundation/common_voice_17_0
+      config: pl
+      split: test
+      args: pl
+    metrics:
+    - name: Wer
+      type: wer
+      value: 16.379563329029228
+---
+
+<!-- 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 new-ru-pl AIIA
+
+This model is a fine-tuned version of [Maks545curve/whisper-small-new-ru-a](https://huggingface.co/Maks545curve/whisper-small-new-ru-a) on the Common Voice 17 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3382
+- Wer Ortho: 25.7888
+- Wer: 16.3796
+
+## 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: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 70
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
+| 0.344         | 0.5336 | 500  | 0.3786          | 29.1204   | 18.2225 |
+| 0.2073        | 1.0672 | 1000 | 0.3382          | 25.7888   | 16.3796 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1+cpu
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+}

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