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wav2vec2-base-finetune-flickr8k
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0580
- 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: 12
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
3.2252 | 0.8 | 500 | 3.0787 | 1.0 |
3.1958 | 1.6 | 1000 | 3.0698 | 1.0 |
3.1512 | 2.4 | 1500 | 3.0571 | 1.0 |
3.1411 | 3.2 | 2000 | 3.0578 | 1.0 |
3.1186 | 4.0 | 2500 | 3.0553 | 1.0 |
3.0852 | 4.8 | 3000 | 3.0616 | 1.0 |
3.1063 | 5.6 | 3500 | 3.0621 | 1.0 |
3.0678 | 6.4 | 4000 | 3.0550 | 1.0 |
3.0239 | 7.2 | 4500 | 3.0592 | 1.0 |
3.0321 | 8.0 | 5000 | 3.0652 | 1.0 |
3.0396 | 8.8 | 5500 | 3.0542 | 1.0 |
3.0723 | 9.6 | 6000 | 3.0552 | 1.0 |
3.0567 | 10.4 | 6500 | 3.0545 | 1.0 |
3.0438 | 11.2 | 7000 | 3.0611 | 1.0 |
3.073 | 12.0 | 7500 | 3.0548 | 1.0 |
3.0293 | 12.8 | 8000 | 3.0585 | 1.0 |
3.0444 | 13.6 | 8500 | 3.0571 | 1.0 |
3.0213 | 14.4 | 9000 | 3.0580 | 1.0 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.13.2