End of training

README.md

@@ -0,0 +1,72 @@
+---
+library_name: transformers
+language:
+- twi
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- custom-dataset
+- local-dataset
+- whisper
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: T6-Whisper-FineTuned-DL-Twi
+  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. -->
+
+# T6-Whisper-FineTuned-DL-Twi
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Twi-native Ghanaian language. dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0063
+- Wer: 23.4562
+- Cer: 21.7611
+
+## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     | Cer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|
+| 0.025         | 0.6333 | 1000 | 0.0285          | 27.9879 | 21.3775 |
+| 0.0083        | 1.2666 | 2000 | 0.0094          | 20.4318 | 17.7329 |
+| 0.0058        | 1.8999 | 3000 | 0.0072          | 19.5177 | 17.5028 |
+| 0.0012        | 2.5332 | 4000 | 0.0063          | 23.4562 | 21.7611 |
+
+
+### Framework versions
+
+- Transformers 4.48.0.dev0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

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+  "forced_decoder_ids": [
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+    [
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+  ],
+  "is_multilingual": true,
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+  "task_to_id": {
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+    "translate": 50358
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+  "transformers_version": "4.48.0.dev0"
+}

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