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batch_size_4
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5806
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 12.4967 | 3.36 | 200 | 3.6996 |
| 3.7 | 6.72 | 400 | 3.5820 |
| 3.5581 | 10.08 | 600 | 3.2334 |
| 2.7618 | 13.45 | 800 | 2.2745 |
| 1.7252 | 16.81 | 1000 | 1.6220 |
| 1.0954 | 20.17 | 1200 | 1.6073 |
| 0.7551 | 23.53 | 1400 | 1.6130 |
| 0.5615 | 26.89 | 1600 | 1.5806 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2
