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mascir_fr_wav2vec_test
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: 0.0136
- Wer: 0.1612
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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 8.06 | 250 | 3.7503 | 0.9919 |
| 8.0637 | 16.13 | 500 | 3.0132 | 0.9919 |
| 8.0637 | 24.19 | 750 | 2.9734 | 0.9919 |
| 2.9339 | 32.26 | 1000 | 2.0538 | 0.9963 |
| 2.9339 | 40.32 | 1250 | 0.4530 | 0.5406 |
| 0.9878 | 48.39 | 1500 | 0.1807 | 0.3373 |
| 0.9878 | 56.45 | 1750 | 0.0814 | 0.2436 |
| 0.3416 | 64.52 | 2000 | 0.0512 | 0.2114 |
| 0.3416 | 72.58 | 2250 | 0.0292 | 0.1823 |
| 0.1952 | 80.65 | 2500 | 0.0198 | 0.1742 |
| 0.1952 | 88.71 | 2750 | 0.0158 | 0.1631 |
| 0.1476 | 96.77 | 3000 | 0.0136 | 0.1612 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3
