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--- |
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license: mit |
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base_model: facebook/w2v-bert-2.0 |
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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 |
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model-index: |
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- name: w2v2-bert-ft-btb-cy |
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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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should probably proofread and complete it, then remove this comment. --> |
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# w2v2-bert-ft-btb-cy |
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This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) 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: 2.9177 |
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- Wer: 1.0 |
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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: 5e-05 |
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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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- num_epochs: 10.0 |
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- mixed_precision_training: Native AMP |
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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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| No log | 0.4243 | 300 | 5.9903 | 1.0 | |
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| 7.061 | 0.8487 | 600 | 3.0451 | 1.0 | |
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| 7.061 | 1.2730 | 900 | 2.9642 | 1.0 | |
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| 3.0081 | 1.6973 | 1200 | 2.9564 | 1.0 | |
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| 2.9733 | 2.1216 | 1500 | 2.9480 | 1.0 | |
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| 2.9733 | 2.5460 | 1800 | 2.9451 | 1.0 | |
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| 2.9454 | 2.9703 | 2100 | 2.9147 | 1.0 | |
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| 2.9454 | 3.3946 | 2400 | 2.9019 | 1.0 | |
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| 2.9064 | 3.8190 | 2700 | 2.8850 | 1.0 | |
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| 2.9048 | 4.2433 | 3000 | 2.8812 | 1.0 | |
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| 2.9048 | 4.6676 | 3300 | 2.8844 | 1.0 | |
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| 2.8965 | 5.0919 | 3600 | 2.9125 | 1.0 | |
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| 2.8965 | 5.5163 | 3900 | 2.8981 | 1.0 | |
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| 2.9261 | 5.9406 | 4200 | 2.9053 | 1.0 | |
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| 2.9273 | 6.3649 | 4500 | 2.9167 | 1.0 | |
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| 2.9273 | 6.7893 | 4800 | 2.9113 | 1.0 | |
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| 2.9302 | 7.2136 | 5100 | 2.9133 | 1.0 | |
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| 2.9302 | 7.6379 | 5400 | 2.9213 | 1.0 | |
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| 2.9397 | 8.0622 | 5700 | 2.9251 | 1.0 | |
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| 2.937 | 8.4866 | 6000 | 2.9210 | 1.0 | |
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| 2.937 | 8.9109 | 6300 | 2.9215 | 1.0 | |
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| 2.9406 | 9.3352 | 6600 | 2.9171 | 1.0 | |
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| 2.9406 | 9.7595 | 6900 | 2.9177 | 1.0 | |
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### Framework versions |
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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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