End of training

README.md

@@ -0,0 +1,83 @@
+---
+language:
+- ha
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+datasets:
+- Seon25/common_voice_16_0_
+metrics:
+- wer
+model-index:
+- name: Whisper Tiny 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: 107.2810883310979
+---
+
+<!-- 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 Tiny Ha - Eldad Akhaumere
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 16.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5851
+- Wer Ortho: 108.4180
+- Wer: 107.2811
+
+## 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
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer      |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|:--------:|
+| 1.3176        | 3.1847  | 500  | 2.1073          | 133.8086  | 132.4392 |
+| 0.624         | 6.3694  | 1000 | 2.2333          | 110.4492  | 111.1324 |
+| 0.2135        | 9.5541  | 1500 | 2.4375          | 101.6211  | 100.4407 |
+| 0.0593        | 12.7389 | 2000 | 2.5851          | 108.4180  | 107.2811 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+  "transformers_version": "4.42.4"
+}

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