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--- |
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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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- ./data-configs/btb.json |
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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-btb-cv-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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# wav2vec2-btb-cv-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: 0.4557 |
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- Wer: 0.3396 |
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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: 16 |
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- eval_batch_size: 64 |
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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: 200 |
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- training_steps: 2200 |
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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 | 0.1139 | 200 | 0.6802 | 0.5026 | |
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| No log | 0.2278 | 400 | 0.6103 | 0.4519 | |
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| 1.9206 | 0.3417 | 600 | 0.5974 | 0.4537 | |
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| 1.9206 | 0.4556 | 800 | 0.5455 | 0.4205 | |
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| 0.6974 | 0.5695 | 1000 | 0.5195 | 0.4027 | |
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| 0.6974 | 0.6834 | 1200 | 0.5081 | 0.3879 | |
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| 0.6974 | 0.7973 | 1400 | 0.4813 | 0.3726 | |
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| 0.6384 | 0.9112 | 1600 | 0.4656 | 0.3612 | |
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| 0.6384 | 1.0251 | 1800 | 0.4568 | 0.3529 | |
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| 0.5551 | 1.1390 | 2000 | 0.4594 | 0.3417 | |
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| 0.5551 | 1.2528 | 2200 | 0.4557 | 0.3396 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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