End of training

README.md

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+---
+language:
+- ymr
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: leenag/Malasar_Luke
+  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. -->
+
+# leenag/Malasar_Luke
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Spoken Bible Corpus: Malasar dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5351
+- Wer: 53.0086
+
+## 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: 32
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.1444        | 11.3636 | 250  | 0.2931          | 60.4585 |
+| 0.0088        | 22.7273 | 500  | 0.4118          | 57.6504 |
+| 0.0019        | 34.0909 | 750  | 0.4601          | 52.3209 |
+| 0.0003        | 45.4545 | 1000 | 0.5022          | 51.8052 |
+| 0.0002        | 56.8182 | 1250 | 0.5181          | 52.2063 |
+| 0.0002        | 68.1818 | 1500 | 0.5280          | 53.0086 |
+| 0.0002        | 79.5455 | 1750 | 0.5332          | 53.0086 |
+| 0.0002        | 90.9091 | 2000 | 0.5351          | 53.0086 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.16.0
+- Tokenizers 0.19.1

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+}

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