checkpoints
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: 3.1086
- Wer: 1.0
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.3725 | 0.7962 | 500 | 3.1315 | 1.0 |
| 3.0445 | 1.5924 | 1000 | 3.1472 | 1.0 |
| 3.0404 | 2.3885 | 1500 | 3.1324 | 1.0 |
| 3.0409 | 3.1847 | 2000 | 3.1056 | 1.0 |
| 3.0365 | 3.9809 | 2500 | 3.1081 | 1.0 |
| 3.0396 | 4.7771 | 3000 | 3.1086 | 1.0 |
Framework versions
- Transformers 5.13.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
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Model tree for yacoubagbane/checkpoints
Base model
facebook/wav2vec2-base