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mascir_frwav2vec2-large-xlsr-53
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4708
- Wer: 0.3789
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.3318 | 2.0 | 500 | 3.0088 | 0.9856 |
| 1.5916 | 4.0 | 1000 | 0.7746 | 0.6411 |
| 0.3961 | 6.0 | 1500 | 0.5238 | 0.5211 |
| 0.2205 | 8.0 | 2000 | 0.5014 | 0.4733 |
| 0.1401 | 10.0 | 2500 | 0.5166 | 0.4878 |
| 0.1147 | 12.0 | 3000 | 0.5058 | 0.4333 |
| 0.0938 | 14.0 | 3500 | 0.4635 | 0.4233 |
| 0.0788 | 16.0 | 4000 | 0.4997 | 0.4144 |
| 0.0645 | 18.0 | 4500 | 0.4840 | 0.4122 |
| 0.0534 | 20.0 | 5000 | 0.4789 | 0.4022 |
| 0.0437 | 22.0 | 5500 | 0.4785 | 0.3978 |
| 0.041 | 24.0 | 6000 | 0.4708 | 0.3789 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
