Model save

README.md

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+---
+license: mit
+base_model: distil-whisper/distil-large-v2
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: rao-vandromme-purcell-distil-finetuned
+  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. -->
+
+# rao-vandromme-purcell-distil-finetuned
+
+This model is a fine-tuned version of [distil-whisper/distil-large-v2](https://huggingface.co/distil-whisper/distil-large-v2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0590
+- Wer: 2.9688
+
+## 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-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- 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 | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.6205        | 0.29  | 10   | 0.2496          | 3.4375 |
+| 0.073         | 0.59  | 20   | 0.0745          | 2.5    |
+| 0.2899        | 0.88  | 30   | 0.0647          | 3.125  |
+| 0.034         | 1.18  | 40   | 0.0674          | 3.2812 |
+| 0.0507        | 1.47  | 50   | 0.0590          | 2.9688 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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+  "use_scan": false
+}

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