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update model card README.md
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README.md
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---
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language:
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- ga
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license: apache-2.0
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tags:
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- whisper-event
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_11_0
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metrics:
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- wer
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model-index:
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- name: whisper-large-v2-Irish
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 11.0
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type: mozilla-foundation/common_voice_11_0
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config: ga-IE
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split: test
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args: ga-IE
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metrics:
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- name: Wer
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type: wer
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value: 42.36353077816493
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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-large-v2-Irish
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This model is a fine-tuned version of [kpriyanshu256/whisper-large-v2-br-1000-32-1e-05](https://huggingface.co/kpriyanshu256/whisper-large-v2-br-1000-32-1e-05) on the Common Voice 11.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2167
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- Wer: 42.3635
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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: 4
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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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: 50
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- training_steps: 800
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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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| 0.4381 | 3.0 | 100 | 0.9324 | 47.2416 |
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| 0.0465 | 6.01 | 200 | 1.0565 | 45.6156 |
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| 0.0169 | 9.02 | 300 | 1.0763 | 43.2636 |
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| 0.0063 | 12.02 | 400 | 1.1362 | 44.0476 |
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| 0.0024 | 15.03 | 500 | 1.1534 | 42.7410 |
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| 0.0011 | 18.03 | 600 | 1.1959 | 42.3926 |
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| 0.0009 | 21.04 | 700 | 1.2123 | 42.1893 |
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| 0.0008 | 24.04 | 800 | 1.2167 | 42.3635 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.13.0+cu117
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- Datasets 2.7.1.dev0
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- Tokenizers 0.13.2
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