End of training

README.md

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+---
+license: mit
+base_model: distil-whisper/distil-medium.en
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: distil-medium.en-ft-children-with-sli
+  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. -->
+
+# distil-medium.en-ft-children-with-sli
+
+This model is a fine-tuned version of [distil-whisper/distil-medium.en](https://huggingface.co/distil-whisper/distil-medium.en) on the ChildrenSLIDataset dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0456
+- Accuracy: 0.9960
+- F1: 0.9958
+- Precision: 0.9968
+- Recall: 0.9949
+
+## 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: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.0001        | 1.0   | 504  | 0.2825          | 0.9643   | 0.9619 | 0.9722    | 0.9545 |
+| 0.0009        | 2.0   | 1008 | 0.0834          | 0.9881   | 0.9875 | 0.9884    | 0.9866 |
+| 0.0002        | 3.0   | 1512 | 0.0442          | 0.9921   | 0.9917 | 0.9935    | 0.9899 |
+| 0.0001        | 4.0   | 2016 | 0.1658          | 0.9762   | 0.9751 | 0.9736    | 0.9768 |
+| 0.0           | 5.0   | 2520 | 0.0390          | 0.9960   | 0.9958 | 0.9968    | 0.9949 |
+| 0.0           | 6.0   | 3024 | 0.0420          | 0.9960   | 0.9958 | 0.9968    | 0.9949 |
+| 0.0           | 7.0   | 3528 | 0.0436          | 0.9960   | 0.9958 | 0.9968    | 0.9949 |
+| 0.0           | 8.0   | 4032 | 0.0446          | 0.9960   | 0.9958 | 0.9968    | 0.9949 |
+| 0.0           | 9.0   | 4536 | 0.0452          | 0.9960   | 0.9958 | 0.9968    | 0.9949 |
+| 0.0           | 10.0  | 5040 | 0.0456          | 0.9960   | 0.9958 | 0.9968    | 0.9949 |
+
+
+### Framework versions
+
+- Transformers 4.42.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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