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update model card README.md
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README.md
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---
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: whisper-for-maltese
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# whisper-for-maltese
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.3026
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- Wer: 120.5033
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps: 4000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 2.2456 | 3.57 | 500 | 2.5059 | 99.2583 |
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| 1.346 | 7.14 | 1000 | 2.4891 | 421.1391 |
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| 0.7287 | 10.71 | 1500 | 2.7307 | 121.1921 |
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| 0.3432 | 14.29 | 2000 | 2.9824 | 131.7086 |
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| 0.2834 | 17.86 | 2500 | 3.1282 | 122.0397 |
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| 0.2239 | 21.43 | 3000 | 3.2050 | 113.4040 |
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| 0.1978 | 25.0 | 3500 | 3.2739 | 118.5695 |
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| 0.1476 | 28.57 | 4000 | 3.3026 | 120.5033 |
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### Framework versions
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- Transformers 4.32.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.1
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- Tokenizers 0.13.3
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