End of training

README.md

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+---
+language:
+- ha
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+datasets:
+- Seon25/common_voice_16_0_
+model-index:
+- name: Whisper Base Ha - Eldad Akhaumere
+  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 Base Ha - Eldad Akhaumere
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 16.0 dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 2.5009
+- eval_wer_ortho: 106.2891
+- eval_wer: 104.9243
+- eval_runtime: 168.7552
+- eval_samples_per_second: 3.911
+- eval_steps_per_second: 0.249
+- epoch: 12.7389
+- step: 2000
+
+## 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: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 15.0
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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+}

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