End of training

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-base.en
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: abbenedekwhisper-base.en-finetuned-D3K
+  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. -->
+
+# abbenedekwhisper-base.en-finetuned-D3K
+
+This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5119
+- Cer: 21.9254
+- Wer: 27.8146
+- Ser: 16.6667
+
+## 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-06
+- train_batch_size: 32
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 40
+- training_steps: 400
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer     | Wer     | Ser     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|
+| 7.7093        | 0.21  | 20   | 6.8991          | 20.3673 | 29.4702 | 28.9474 |
+| 6.8825        | 0.43  | 40   | 5.5765          | 25.0417 | 35.0993 | 30.7018 |
+| 5.2019        | 0.64  | 60   | 4.4037          | 30.4953 | 41.7219 | 34.2105 |
+| 3.8746        | 0.85  | 80   | 3.3761          | 33.5559 | 45.0331 | 32.4561 |
+| 2.9591        | 1.06  | 100  | 2.7073          | 32.1091 | 43.0464 | 30.7018 |
+| 2.2502        | 1.28  | 120  | 2.2711          | 33.3890 | 44.3709 | 30.7018 |
+| 1.8478        | 1.49  | 140  | 1.9790          | 31.4413 | 41.0596 | 27.1930 |
+| 1.6338        | 1.7   | 160  | 1.8207          | 32.2204 | 42.0530 | 26.3158 |
+| 1.5065        | 1.91  | 180  | 1.7257          | 26.4329 | 34.4371 | 20.1754 |
+| 1.3667        | 2.13  | 200  | 1.6645          | 24.5965 | 31.4570 | 19.2982 |
+| 1.2807        | 2.34  | 220  | 1.6155          | 24.8191 | 31.7881 | 20.1754 |
+| 1.2212        | 2.55  | 240  | 1.5851          | 26.2104 | 33.4437 | 21.0526 |
+| 1.2299        | 2.77  | 260  | 1.5669          | 24.4853 | 31.4570 | 19.2982 |
+| 1.1623        | 2.98  | 280  | 1.5543          | 23.0940 | 29.8013 | 18.4211 |
+| 1.1275        | 3.19  | 300  | 1.5421          | 23.0940 | 29.8013 | 18.4211 |
+| 1.1304        | 3.4   | 320  | 1.5320          | 23.5392 | 29.8013 | 18.4211 |
+| 1.1113        | 3.62  | 340  | 1.5236          | 21.9254 | 27.8146 | 16.6667 |
+| 1.1189        | 3.83  | 360  | 1.5168          | 21.9254 | 27.8146 | 16.6667 |
+| 1.1134        | 4.04  | 380  | 1.5134          | 21.9254 | 27.8146 | 16.6667 |
+| 1.097         | 4.26  | 400  | 1.5119          | 21.9254 | 27.8146 | 16.6667 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.14.5
+- Tokenizers 0.15.2

generation_config.json

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+}

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