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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: 1.6956 |
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- Wer: 0.7702 |
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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: 5000 |
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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 | 3.5587 | 1.0 | |
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| No log | 0.3096 | 200 | 3.2506 | 1.0 | |
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| No log | 0.4644 | 300 | 2.7740 | 1.0000 | |
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| No log | 0.6192 | 400 | 1.1196 | 0.7807 | |
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| 3.6484 | 0.7740 | 500 | 0.9134 | 0.6539 | |
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| 3.6484 | 0.9288 | 600 | 0.7675 | 0.5923 | |
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| 3.6484 | 1.0836 | 700 | 0.7208 | 0.5290 | |
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| 3.6484 | 1.2384 | 800 | 0.6209 | 0.4745 | |
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| 3.6484 | 1.3932 | 900 | 0.6220 | 0.4788 | |
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| 0.6286 | 1.5480 | 1000 | 0.5739 | 0.4588 | |
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| 0.6286 | 1.7028 | 1100 | 0.5642 | 0.4262 | |
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| 0.6286 | 1.8576 | 1200 | 0.5512 | 0.4208 | |
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| 0.6286 | 2.0124 | 1300 | 0.5275 | 0.3865 | |
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| 0.6286 | 2.1672 | 1400 | 0.4955 | 0.3755 | |
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| 0.4816 | 2.3220 | 1500 | 0.4909 | 0.3733 | |
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| 0.4816 | 2.4768 | 1600 | 0.4983 | 0.3728 | |
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| 0.4816 | 2.6316 | 1700 | 0.4891 | 0.3655 | |
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| 0.4816 | 2.7864 | 1800 | 0.4796 | 0.3571 | |
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| 0.4816 | 2.9412 | 1900 | 0.4643 | 0.3592 | |
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| 0.4017 | 3.0960 | 2000 | 0.5085 | 0.3698 | |
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| 0.4017 | 3.2508 | 2100 | 0.6755 | 0.4530 | |
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| 0.4017 | 3.4056 | 2200 | 0.7100 | 0.5108 | |
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| 0.4017 | 3.5604 | 2300 | 0.8311 | 0.5643 | |
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| 0.4017 | 3.7152 | 2400 | 0.7032 | 0.5029 | |
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| 0.6839 | 3.8700 | 2500 | 0.7071 | 0.5007 | |
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| 0.6839 | 4.0248 | 2600 | 0.8224 | 0.5069 | |
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| 0.6839 | 4.1796 | 2700 | 0.8344 | 0.5162 | |
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| 0.6839 | 4.3344 | 2800 | 0.9089 | 0.5620 | |
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| 0.6839 | 4.4892 | 2900 | 0.9665 | 0.5640 | |
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| 0.8292 | 4.6440 | 3000 | 0.9128 | 0.5415 | |
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| 0.8292 | 4.7988 | 3100 | 1.1925 | 0.5939 | |
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| 0.8292 | 4.9536 | 3200 | 1.4327 | 0.6999 | |
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| 0.8292 | 5.1084 | 3300 | 1.2741 | 0.7827 | |
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| 0.8292 | 5.2632 | 3400 | 1.9348 | 0.8742 | |
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| 1.4131 | 5.4180 | 3500 | 1.9216 | 0.9870 | |
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| 1.4131 | 5.5728 | 3600 | 1.8565 | 0.9367 | |
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| 1.4131 | 5.7276 | 3700 | 1.7828 | 0.8240 | |
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| 1.4131 | 5.8824 | 3800 | 1.6847 | 0.8059 | |
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| 1.4131 | 6.0372 | 3900 | 1.6440 | 0.7984 | |
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| 1.7728 | 6.1920 | 4000 | 1.6765 | 0.8053 | |
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| 1.7728 | 6.3467 | 4100 | 1.6733 | 0.8024 | |
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| 1.7728 | 6.5015 | 4200 | 1.6601 | 0.7900 | |
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| 1.7728 | 6.6563 | 4300 | 1.6605 | 0.7973 | |
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| 1.7728 | 6.8111 | 4400 | 1.6599 | 0.7805 | |
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| 1.6777 | 6.9659 | 4500 | 1.6359 | 0.7693 | |
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| 1.6777 | 7.1207 | 4600 | 1.6400 | 0.7651 | |
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| 1.6777 | 7.2755 | 4700 | 1.6759 | 0.7672 | |
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| 1.6777 | 7.4303 | 4800 | 1.6849 | 0.7686 | |
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| 1.6777 | 7.5851 | 4900 | 1.6858 | 0.7690 | |
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| 1.683 | 7.7399 | 5000 | 1.6956 | 0.7702 | |
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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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