End of training
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README.md
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- wer
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model-index:
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- name: w2v-bert-2.0-ukrainian-colab-CV16.0
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results:
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- task:
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name: Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice uk
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type: common_voice
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args: uk
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metrics:
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- name: Test WER
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type: wer
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value: 9.81
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license: mit
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datasets:
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- common_voice
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language:
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- uk
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pipeline_tag: automatic-speech-recognition
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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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This model is a fine-tuned version of [ylacombe/w2v-bert-2.0](https://huggingface.co/ylacombe/w2v-bert-2.0) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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### Framework versions
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- Transformers 4.37.0.dev0
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- Pytorch 1.12.1+cu116
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- Datasets 2.4.0
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- Tokenizers 0.15.1
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- wer
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model-index:
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- name: w2v-bert-2.0-ukrainian-colab-CV16.0
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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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This model is a fine-tuned version of [ylacombe/w2v-bert-2.0](https://huggingface.co/ylacombe/w2v-bert-2.0) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1438
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- Wer: 0.0987
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 1.0371 | 1.98 | 525 | 0.1509 | 0.1498 |
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| 0.0728 | 3.96 | 1050 | 0.1256 | 0.1279 |
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| 0.0382 | 5.94 | 1575 | 0.1260 | 0.1041 |
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| 0.0213 | 7.92 | 2100 | 0.1333 | 0.0997 |
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| 0.0118 | 9.91 | 2625 | 0.1438 | 0.0987 |
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### Framework versions
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- Transformers 4.37.0.dev0
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- Pytorch 1.12.1+cu116
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- Datasets 2.4.0
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- Tokenizers 0.15.1
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model.safetensors
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runs/Feb05_09-16-01_nbbl5s368u/events.out.tfevents.1707124967.nbbl5s368u.66.0
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