End of training

README.md

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+---
+license: mit
+base_model: distil-whisper/distil-large-v3
+tags:
+- generated_from_trainer
+model-index:
+- name: distilwhisper_finetune
+  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. -->
+
+# distilwhisper_finetune
+
+This model is a fine-tuned version of [distil-whisper/distil-large-v3](https://huggingface.co/distil-whisper/distil-large-v3) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.7639
+- eval_wer: 30.1396
+- eval_runtime: 848.6992
+- eval_samples_per_second: 0.825
+- eval_steps_per_second: 0.104
+- epoch: 0.1143
+- step: 20
+
+## 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: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+  "transformers_version": "4.41.0"
+}

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