End of training

README.md

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+---
+library_name: transformers
+language:
+- ha
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- Seon25/common_voice_16_0_
+metrics:
+- wer
+model-index:
+- name: Whisper Small Ha - Eldad Akhaumere
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 16.0
+      type: Seon25/common_voice_16_0_
+      config: ha
+      split: None
+      args: 'config: ha, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 108.10546875
+---
+
+<!-- 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 Small Ha - Eldad Akhaumere
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.9575
+- Wer Ortho: 110.3468
+- Wer: 108.1055
+
+## 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: 0.0005
+- 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: 13.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer      |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|:--------:|
+| 1.5785        | 3.1847  | 500  | 3.8839          | 99.5593   | 99.8438  |
+| 1.1623        | 6.3694  | 1000 | 4.4847          | 97.7582   | 98.0078  |
+| 0.9893        | 9.5541  | 1500 | 4.7922          | 108.7373  | 107.6172 |
+| 0.8816        | 12.7389 | 2000 | 4.9575          | 110.3468  | 108.1055 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

generation_config.json

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+}

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