End of training

README.md

@@ -0,0 +1,56 @@
+---
+language:
+- sq
+base_model: openai/whisper-distil-large-v2-ealb
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_17_0
+model-index:
+- name: Whisper Large EALB
+  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. -->
+
+# Whisper Large EALB
+
+This model is a fine-tuned version of [openai/whisper-distil-large-v2-ealb](https://huggingface.co/openai/whisper-distil-large-v2-ealb) on the common_voice_17_0 dataset.
+
+## 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
+- training_steps: 2634
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.2.1
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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+}

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