End of training

README.md

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+---
+library_name: transformers
+language:
+- en
+license: apache-2.0
+base_model: openai/whisper-medium.en
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_17_0
+metrics:
+- wer
+model-index:
+- name: whisper-medium-en-cv-6.2
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 17.0
+      type: mozilla-foundation/common_voice_17_0
+      args: 'config: en, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 31.659522351500307
+---
+
+<!-- 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-en-cv-6.2
+
+This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on the Common Voice 17.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1366
+- Wer: 31.6595
+
+## 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: 48
+- eval_batch_size: 4
+- 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: 750
+- training_steps: 7500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| No log        | 0     | 0    | 2.4185          | 46.5401 |
+| 0.6822        | 0.1   | 750  | 0.9972          | 36.9871 |
+| 0.2058        | 1.1   | 1500 | 1.0039          | 48.4997 |
+| 0.0635        | 2.1   | 2250 | 1.0966          | 42.9884 |
+| 0.0275        | 3.1   | 3000 | 1.1136          | 35.3950 |
+| 0.0149        | 4.1   | 3750 | 1.1359          | 33.1598 |
+| 0.0075        | 5.1   | 4500 | 1.1148          | 37.3546 |
+| 0.0043        | 6.1   | 5250 | 1.1232          | 33.9865 |
+| 0.0008        | 7.1   | 6000 | 1.1331          | 35.3644 |
+| 0.0005        | 8.1   | 6750 | 1.1354          | 31.4452 |
+| 0.0004        | 9.1   | 7500 | 1.1366          | 31.6595 |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.1
+- Tokenizers 0.21.1

generation_config.json

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+  "begin_suppress_tokens": [
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+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50257,
+  "eos_token_id": 50256,
+  "forced_decoder_ids": [
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+  "is_multilingual": false,
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+  "max_length": 448,
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+  "pad_token_id": 50256,
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+}

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