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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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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-synthesized-turkish-4-hour-llr
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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-synthesized-turkish-4-hour-llr
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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: 0.2356
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- Wer: 14.9179
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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-06
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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: 2000
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- mixed_precision_training: Native AMP
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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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| 1.8278 | 1.04 | 100 | 1.5357 | 41.2110 |
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| 1.2048 | 2.08 | 200 | 0.8059 | 86.3165 |
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| 0.6206 | 3.12 | 300 | 0.5751 | 94.1612 |
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| 0.4927 | 4.17 | 400 | 0.5024 | 80.1568 |
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| 0.4277 | 5.21 | 500 | 0.4451 | 48.6607 |
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| 0.3502 | 6.25 | 600 | 0.3999 | 32.7490 |
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| 0.2948 | 7.29 | 700 | 0.3650 | 21.5961 |
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| 0.24 | 8.33 | 800 | 0.3344 | 17.7756 |
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| 0.2079 | 9.38 | 900 | 0.3010 | 15.2512 |
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| 0.1416 | 10.42 | 1000 | 0.2402 | 13.8687 |
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| 0.1076 | 11.46 | 1100 | 0.2357 | 14.4427 |
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| 0.0905 | 12.5 | 1200 | 0.2350 | 14.0415 |
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| 0.0759 | 13.54 | 1300 | 0.2348 | 14.0230 |
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| 0.0819 | 14.58 | 1400 | 0.2345 | 14.0600 |
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| 0.0608 | 15.62 | 1500 | 0.2346 | 14.3563 |
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| 0.0712 | 16.67 | 1600 | 0.2350 | 14.2575 |
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| 0.0608 | 17.71 | 1700 | 0.2355 | 14.8562 |
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| 0.0632 | 18.75 | 1800 | 0.2354 | 14.9241 |
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| 0.0544 | 19.79 | 1900 | 0.2356 | 14.9303 |
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| 0.0529 | 20.83 | 2000 | 0.2356 | 14.9179 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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