End of training

README.md

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+---
+language:
+- tw
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- lagyamfi/akan_audio
+model-index:
+- name: Whisper Small Tw - Lagyamfi_v2
+  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 Small Tw - Lagyamfi_v2
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the akan audio dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6401
+
+## 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: 0.001
+- 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: 50
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.7315        | 1.0   | 137  | 0.7419          |
+| 0.4855        | 2.0   | 274  | 0.5828          |
+| 0.335         | 3.0   | 411  | 0.5613          |
+| 0.2071        | 4.0   | 548  | 0.5593          |
+| 0.129         | 5.0   | 685  | 0.5512          |
+| 0.0691        | 6.0   | 822  | 0.5786          |
+| 0.0394        | 7.0   | 959  | 0.5997          |
+| 0.0168        | 8.0   | 1096 | 0.6296          |
+| 0.0111        | 9.0   | 1233 | 0.6353          |
+| 0.0082        | 10.0  | 1370 | 0.6401          |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

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