End of training

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-small.en
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: abbenedekwhisper-small.en-finetuning2-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-small.en-finetuning2-D3K
+
+This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.0682
+- Cer: 53.2554
+- Wer: 135.0993
+- Ser: 100.0
+- Cer Clean: 0.5008
+- Wer Clean: 0.6623
+- Ser Clean: 1.7544
+
+## 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-08
+- train_batch_size: 16
+- 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: 5
+- training_steps: 50
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer     | Wer      | Ser   | Cer Clean | Wer Clean | Ser Clean |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|:-----:|:---------:|:---------:|:---------:|
+| 7.4342        | 0.05  | 10   | 7.0727          | 53.2554 | 135.0993 | 100.0 | 0.5008    | 0.6623    | 1.7544    |
+| 7.2902        | 0.11  | 20   | 7.0722          | 53.2554 | 135.0993 | 100.0 | 0.5008    | 0.6623    | 1.7544    |
+| 6.9726        | 0.16  | 30   | 7.0711          | 53.2554 | 135.0993 | 100.0 | 0.5008    | 0.6623    | 1.7544    |
+| 7.3598        | 0.21  | 40   | 7.0705          | 53.2554 | 135.0993 | 100.0 | 0.5008    | 0.6623    | 1.7544    |
+| 7.0578        | 0.27  | 50   | 7.0682          | 53.2554 | 135.0993 | 100.0 | 0.5008    | 0.6623    | 1.7544    |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.14.5
+- Tokenizers 0.15.2

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