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DewiBrynJones
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wav2vec2-btb-ccv-ft-btb-cy

Automatic Speech Recognition
TensorBoard
Safetensors
wav2vec2
DewiBrynJones/banc-trawsgrifiadau-bangor-clean
Generated from Trainer
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  1. README.md +18 -20
README.md CHANGED
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  license: apache-2.0
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  base_model: DewiBrynJones/wav2vec2-xlsr-53-ft-btb-ccv-cy
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  tags:
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- - automatic-speech-recognition
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- - DewiBrynJones/banc-trawsgrifiadau-bangor-clean
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  - generated_from_trainer
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  metrics:
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  - wer
@@ -17,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-btb-ccv-ft-btb-cy
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- This model is a fine-tuned version of [DewiBrynJones/wav2vec2-xlsr-53-ft-btb-ccv-cy](https://huggingface.co/DewiBrynJones/wav2vec2-xlsr-53-ft-btb-ccv-cy) on the DEWIBRYNJONES/BANC-TRAWSGRIFIADAU-BANGOR-CLEAN - DEFAULT dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4376
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- - Wer: 0.3395
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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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- | No log | 0.1139 | 200 | 0.7528 | 0.5049 |
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- | No log | 0.2278 | 400 | 0.6966 | 0.5050 |
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- | 2.117 | 0.3417 | 600 | 0.6128 | 0.4761 |
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- | 2.117 | 0.4556 | 800 | 0.6332 | 0.5017 |
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- | 0.7606 | 0.5695 | 1000 | 0.5895 | 0.4577 |
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- | 0.7606 | 0.6834 | 1200 | 0.5553 | 0.4211 |
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- | 0.7606 | 0.7973 | 1400 | 0.5304 | 0.4196 |
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- | 0.7049 | 0.9112 | 1600 | 0.5061 | 0.3873 |
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- | 0.7049 | 1.0251 | 1800 | 0.5090 | 0.3959 |
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- | 0.6136 | 1.1390 | 2000 | 0.4839 | 0.3758 |
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- | 0.6136 | 1.2528 | 2200 | 0.4692 | 0.3659 |
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- | 0.6136 | 1.3667 | 2400 | 0.4569 | 0.3544 |
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- | 0.5388 | 1.4806 | 2600 | 0.4488 | 0.3485 |
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- | 0.5388 | 1.5945 | 2800 | 0.4411 | 0.3423 |
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- | 0.5275 | 1.7084 | 3000 | 0.4376 | 0.3395 |
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  ### Framework versions
 
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  license: apache-2.0
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  base_model: DewiBrynJones/wav2vec2-xlsr-53-ft-btb-ccv-cy
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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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  # wav2vec2-btb-ccv-ft-btb-cy
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+ This model is a fine-tuned version of [DewiBrynJones/wav2vec2-xlsr-53-ft-btb-ccv-cy](https://huggingface.co/DewiBrynJones/wav2vec2-xlsr-53-ft-btb-ccv-cy) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4314
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+ - Wer: 0.3285
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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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+ | No log | 0.1139 | 200 | 0.7148 | 0.4603 |
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+ | No log | 0.2278 | 400 | 0.6810 | 0.4795 |
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+ | 1.4735 | 0.3417 | 600 | 0.6035 | 0.4486 |
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+ | 1.4735 | 0.4556 | 800 | 0.6223 | 0.5105 |
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+ | 0.7681 | 0.5695 | 1000 | 0.5656 | 0.4336 |
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+ | 0.7681 | 0.6834 | 1200 | 0.5275 | 0.4008 |
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+ | 0.7681 | 0.7973 | 1400 | 0.5284 | 0.4028 |
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+ | 0.7159 | 0.9112 | 1600 | 0.4990 | 0.3914 |
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+ | 0.7159 | 1.0251 | 1800 | 0.4855 | 0.3730 |
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+ | 0.6203 | 1.1390 | 2000 | 0.4740 | 0.3623 |
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+ | 0.6203 | 1.2528 | 2200 | 0.4589 | 0.3536 |
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+ | 0.6203 | 1.3667 | 2400 | 0.4539 | 0.3407 |
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+ | 0.5447 | 1.4806 | 2600 | 0.4410 | 0.3357 |
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+ | 0.5447 | 1.5945 | 2800 | 0.4347 | 0.3293 |
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+ | 0.5392 | 1.7084 | 3000 | 0.4314 | 0.3285 |
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  ### Framework versions