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wav2vec2-xlsr-53-ft-ccv-s99-cy
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the PYTHON/CUSTOM_COMMON_VOICE.PY - CY dataset. It achieves the following results on the evaluation set:
- Loss: 0.1094
- Wer: 0.1009
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 800
- training_steps: 5000
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
5.3979 | 0.4 | 400 | 1.0213 | 0.8059 |
0.6045 | 0.81 | 800 | 0.3923 | 0.4088 |
0.3413 | 1.21 | 1200 | 0.2352 | 0.2420 |
0.2539 | 1.62 | 1600 | 0.1913 | 0.1966 |
0.215 | 2.02 | 2000 | 0.1649 | 0.1701 |
0.1577 | 2.42 | 2400 | 0.1472 | 0.1496 |
0.1422 | 2.83 | 2800 | 0.1323 | 0.1321 |
0.1202 | 3.23 | 3200 | 0.1298 | 0.1260 |
0.1026 | 3.64 | 3600 | 0.1193 | 0.1182 |
0.0951 | 4.04 | 4000 | 0.1176 | 0.1102 |
0.0747 | 4.44 | 4400 | 0.1127 | 0.1059 |
0.0717 | 4.85 | 4800 | 0.1102 | 0.1022 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3