ft_wav2vec2_base_thirty
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6535
- Wer: 32.0197
- Cer: 14.4551
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 2700
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 4.2536 | 1.75 | 500 | 3.0201 | 99.9919 | 99.8547 |
| 2.7796 | 3.51 | 1000 | 1.8276 | 90.7584 | 46.9070 |
| 0.9842 | 5.26 | 1500 | 0.7994 | 43.5201 | 19.4787 |
| 0.595 | 7.02 | 2000 | 0.7414 | 37.7699 | 17.0733 |
| 0.4215 | 8.77 | 2500 | 0.6535 | 32.0197 | 14.4551 |
Framework versions
- Transformers 4.39.3
- Pytorch 1.12.1+cu116
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for ImanNalia/ft_wav2vec2_base_thirty
Base model
facebook/wav2vec2-base