End of training

README.md

@@ -0,0 +1,71 @@
+---
+license: apache-2.0
+base_model: openai/whisper-base.en
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: abbenedekwhisper-base.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-base.en-finetuning2-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: 6.9927
+- Cer: 63.0495
+- Wer: 127.1523
+- Ser: 100.0
+- Cer Clean: 4.3406
+- Wer Clean: 7.2848
+- Ser Clean: 9.6491
+
+## 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: 100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer     | Wer      | Ser   | Cer Clean | Wer Clean | Ser Clean |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|:-----:|:---------:|:---------:|:---------:|
+| 7.8089        | 0.11  | 20   | 6.9970          | 63.0495 | 127.1523 | 100.0 | 4.3406    | 7.2848    | 9.6491    |
+| 7.653         | 0.21  | 40   | 6.9963          | 63.3834 | 127.4834 | 100.0 | 4.6745    | 7.6159    | 10.5263   |
+| 7.6425        | 0.32  | 60   | 6.9951          | 63.3834 | 127.4834 | 100.0 | 4.6745    | 7.6159    | 10.5263   |
+| 7.6689        | 0.43  | 80   | 6.9952          | 63.0495 | 127.1523 | 100.0 | 4.3406    | 7.2848    | 9.6491    |
+| 7.6972        | 0.53  | 100  | 6.9927          | 63.0495 | 127.1523 | 100.0 | 4.3406    | 7.2848    | 9.6491    |
+
+
+### 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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+}

model.safetensors

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