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--- |
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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-clean-with-ccv |
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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-xlsr-53-ft-btb-ccv-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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# wav2vec2-xlsr-53-ft-btb-ccv-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-CLEAN-WITH-CCV - DEFAULT dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4971 |
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- Wer: 0.3381 |
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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: 0.0003 |
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- train_batch_size: 64 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 2600 |
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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 | 0.1548 | 100 | 3.5561 | 1.0 | |
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| No log | 0.3096 | 200 | 3.3712 | 1.0 | |
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| No log | 0.4644 | 300 | 3.1736 | 1.0 | |
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| No log | 0.6192 | 400 | 1.1719 | 0.7910 | |
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| 3.7217 | 0.7740 | 500 | 0.9169 | 0.6776 | |
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| 3.7217 | 0.9288 | 600 | 0.8097 | 0.6191 | |
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| 3.7217 | 1.0836 | 700 | 0.6986 | 0.5080 | |
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| 3.7217 | 1.2384 | 800 | 0.6123 | 0.4629 | |
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| 3.7217 | 1.3932 | 900 | 0.5815 | 0.4499 | |
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| 0.6148 | 1.5480 | 1000 | 0.5666 | 0.4218 | |
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| 0.6148 | 1.7028 | 1100 | 0.5285 | 0.4049 | |
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| 0.6148 | 1.8576 | 1200 | 0.5309 | 0.3972 | |
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| 0.6148 | 2.0124 | 1300 | 0.4993 | 0.3818 | |
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| 0.6148 | 2.1672 | 1400 | 0.4779 | 0.3722 | |
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| 0.4634 | 2.3220 | 1500 | 0.4679 | 0.3659 | |
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| 0.4634 | 2.4768 | 1600 | 0.4679 | 0.3621 | |
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| 0.4634 | 2.6316 | 1700 | 0.4525 | 0.3504 | |
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| 0.4634 | 2.7864 | 1800 | 0.4353 | 0.3357 | |
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| 0.4634 | 2.9412 | 1900 | 0.4358 | 0.3423 | |
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| 0.3708 | 3.0960 | 2000 | 0.4391 | 0.3355 | |
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| 0.3708 | 3.2508 | 2100 | 0.4307 | 0.3282 | |
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| 0.3708 | 3.4056 | 2200 | 0.4274 | 0.3275 | |
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| 0.3708 | 3.5604 | 2300 | 0.4388 | 0.3246 | |
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| 0.3708 | 3.7152 | 2400 | 0.4521 | 0.3277 | |
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| 0.3391 | 3.8700 | 2500 | 0.4861 | 0.3390 | |
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| 0.3391 | 4.0248 | 2600 | 0.4971 | 0.3381 | |
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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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