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DewiBrynJones
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wav2vec2-xlsr-53-ft-btb-cy

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
DewiBrynJones/banc-trawsgrifiadau-bangor-clean
Generated from Trainer
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  1. README.md +29 -31
  2. model.safetensors +1 -1
  3. runs/May17_05-42-53_2e698a9c250f/events.out.tfevents.1715921390.2e698a9c250f.3735.0 +2 -2
README.md CHANGED
@@ -2,8 +2,6 @@
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  license: apache-2.0
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  base_model: facebook/wav2vec2-large-xlsr-53
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  tags:
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- - automatic-speech-recognition
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- - DewiBrynJones/banc-trawsgrifiadau-bangor-normalized
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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-xlsr-53-ft-btb-cy
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- This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the DEWIBRYNJONES/BANC-TRAWSGRIFIADAU-BANGOR-NORMALIZED - DEFAULT dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4232
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- - Wer: 0.3216
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  ## Model description
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@@ -55,32 +53,32 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:------:|
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- | No log | 0.1414 | 100 | 3.6050 | 1.0 |
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- | No log | 0.2829 | 200 | 2.9801 | 1.0 |
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- | No log | 0.4243 | 300 | 2.6344 | 0.9829 |
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- | No log | 0.5658 | 400 | 1.1876 | 0.8078 |
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- | 3.377 | 0.7072 | 500 | 1.0060 | 0.7694 |
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- | 3.377 | 0.8487 | 600 | 0.8394 | 0.6381 |
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- | 3.377 | 0.9901 | 700 | 0.7753 | 0.5871 |
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- | 3.377 | 1.1315 | 800 | 0.6411 | 0.4923 |
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- | 3.377 | 1.2730 | 900 | 0.6322 | 0.5023 |
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- | 0.8318 | 1.4144 | 1000 | 0.5858 | 0.4564 |
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- | 0.8318 | 1.5559 | 1100 | 0.5580 | 0.4334 |
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- | 0.8318 | 1.6973 | 1200 | 0.5396 | 0.4204 |
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- | 0.8318 | 1.8388 | 1300 | 0.5092 | 0.4033 |
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- | 0.8318 | 1.9802 | 1400 | 0.4942 | 0.3903 |
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- | 0.6486 | 2.1216 | 1500 | 0.4773 | 0.3778 |
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- | 0.6486 | 2.2631 | 1600 | 0.4728 | 0.3650 |
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- | 0.6486 | 2.4045 | 1700 | 0.4648 | 0.3623 |
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- | 0.6486 | 2.5460 | 1800 | 0.4559 | 0.3528 |
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- | 0.6486 | 2.6874 | 1900 | 0.4480 | 0.3527 |
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- | 0.5049 | 2.8289 | 2000 | 0.4383 | 0.3384 |
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- | 0.5049 | 2.9703 | 2100 | 0.4345 | 0.3355 |
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- | 0.5049 | 3.1117 | 2200 | 0.4345 | 0.3300 |
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- | 0.5049 | 3.2532 | 2300 | 0.4298 | 0.3272 |
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- | 0.5049 | 3.3946 | 2400 | 0.4292 | 0.3246 |
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- | 0.4131 | 3.5361 | 2500 | 0.4255 | 0.3232 |
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- | 0.4131 | 3.6775 | 2600 | 0.4232 | 0.3216 |
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  ### Framework versions
 
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  license: apache-2.0
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  base_model: facebook/wav2vec2-large-xlsr-53
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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-xlsr-53-ft-btb-cy
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+ This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4105
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+ - Wer: 0.3136
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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 | 0.1414 | 100 | 3.2195 | 1.0 |
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+ | No log | 0.2829 | 200 | 3.1180 | 1.0 |
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+ | No log | 0.4243 | 300 | 1.7236 | 0.9364 |
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+ | No log | 0.5658 | 400 | 1.1579 | 0.7628 |
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+ | 3.0279 | 0.7072 | 500 | 0.9558 | 0.6721 |
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+ | 3.0279 | 0.8487 | 600 | 0.8189 | 0.6424 |
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+ | 3.0279 | 0.9901 | 700 | 0.6973 | 0.5164 |
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+ | 3.0279 | 1.1315 | 800 | 0.6183 | 0.4752 |
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+ | 3.0279 | 1.2730 | 900 | 0.5936 | 0.4703 |
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+ | 0.7925 | 1.4144 | 1000 | 0.5498 | 0.4304 |
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+ | 0.7925 | 1.5559 | 1100 | 0.5286 | 0.4148 |
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+ | 0.7925 | 1.6973 | 1200 | 0.5130 | 0.3974 |
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+ | 0.7925 | 1.8388 | 1300 | 0.4878 | 0.3864 |
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+ | 0.7925 | 1.9802 | 1400 | 0.4740 | 0.3733 |
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+ | 0.62 | 2.1216 | 1500 | 0.4578 | 0.3593 |
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+ | 0.62 | 2.2631 | 1600 | 0.4535 | 0.3500 |
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+ | 0.62 | 2.4045 | 1700 | 0.4485 | 0.3497 |
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+ | 0.62 | 2.5460 | 1800 | 0.4373 | 0.3431 |
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+ | 0.62 | 2.6874 | 1900 | 0.4362 | 0.3429 |
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+ | 0.4879 | 2.8289 | 2000 | 0.4236 | 0.3327 |
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+ | 0.4879 | 2.9703 | 2100 | 0.4172 | 0.3257 |
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+ | 0.4879 | 3.1117 | 2200 | 0.4206 | 0.3217 |
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+ | 0.4879 | 3.2532 | 2300 | 0.4166 | 0.3199 |
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+ | 0.4879 | 3.3946 | 2400 | 0.4134 | 0.3173 |
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+ | 0.4036 | 3.5361 | 2500 | 0.4110 | 0.3159 |
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+ | 0.4036 | 3.6775 | 2600 | 0.4105 | 0.3136 |
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  ### Framework versions
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