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DewiBrynJones
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wav2vec2-xls-r-2b-ft-btb-cy

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
DewiBrynJones/banc-trawsgrifiadau-bangor-normalized
Generated from Trainer
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  1. README.md +88 -0
  2. model-00001-of-00002.safetensors +3 -0
  3. model-00002-of-00002.safetensors +3 -0
  4. model.safetensors.index.json +815 -0
  5. runs/May11_22-01-23_09e070d6a7b1/events.out.tfevents.1715461641.09e070d6a7b1.660.0 +2 -2
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: facebook/wav2vec2-xls-r-2b
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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: wav2vec2-xls-r-2b-ft-btb-cy
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+ results: []
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+ ---
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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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+
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+ # wav2vec2-xls-r-2b-ft-btb-cy
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-xls-r-2b](https://huggingface.co/facebook/wav2vec2-xls-r-2b) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3903
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+ - Wer: 0.2957
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0003
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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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+ - gradient_accumulation_steps: 2
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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: 500
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+ - training_steps: 2500
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:------:|:----:|:---------------:|:------:|
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+ | No log | 0.1414 | 100 | 1.2105 | 0.8709 |
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+ | No log | 0.2829 | 200 | 0.9787 | 0.6986 |
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+ | No log | 0.4243 | 300 | 1.1907 | 0.7127 |
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+ | No log | 0.5658 | 400 | 1.0559 | 0.7169 |
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+ | 1.4456 | 0.7072 | 500 | 1.2106 | 0.7944 |
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+ | 1.4456 | 0.8487 | 600 | 1.0232 | 0.7033 |
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+ | 1.4456 | 0.9901 | 700 | 1.0387 | 0.7336 |
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+ | 1.4456 | 1.1315 | 800 | 0.7234 | 0.5223 |
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+ | 1.4456 | 1.2730 | 900 | 0.7242 | 0.5566 |
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+ | 0.9155 | 1.4144 | 1000 | 0.7097 | 0.5259 |
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+ | 0.9155 | 1.5559 | 1100 | 0.6368 | 0.4797 |
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+ | 0.9155 | 1.6973 | 1200 | 0.6065 | 0.4653 |
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+ | 0.9155 | 1.8388 | 1300 | 0.6207 | 0.4717 |
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+ | 0.9155 | 1.9802 | 1400 | 0.5925 | 0.4707 |
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+ | 0.7436 | 2.1216 | 1500 | 0.5382 | 0.4046 |
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+ | 0.7436 | 2.2631 | 1600 | 0.5201 | 0.3996 |
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+ | 0.7436 | 2.4045 | 1700 | 0.4883 | 0.3698 |
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+ | 0.7436 | 2.5460 | 1800 | 0.4704 | 0.3659 |
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+ | 0.7436 | 2.6874 | 1900 | 0.4443 | 0.3521 |
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+ | 0.5645 | 2.8289 | 2000 | 0.4470 | 0.3476 |
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+ | 0.5645 | 2.9703 | 2100 | 0.4192 | 0.3242 |
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+ | 0.5645 | 3.1117 | 2200 | 0.4178 | 0.3161 |
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+ | 0.5645 | 3.2532 | 2300 | 0.4122 | 0.3054 |
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+ | 0.5645 | 3.3946 | 2400 | 0.3960 | 0.2990 |
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+ | 0.4232 | 3.5361 | 2500 | 0.3903 | 0.2957 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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