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batch_size_2
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: 1.8600
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- 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 |
|---|---|---|---|
| 13.2945 | 1.69 | 200 | 3.6357 |
| 3.737 | 3.38 | 400 | 3.6624 |
| 3.707 | 5.06 | 600 | 3.6271 |
| 3.6038 | 6.75 | 800 | 3.5749 |
| 3.4502 | 8.44 | 1000 | 3.2693 |
| 3.1641 | 10.13 | 1200 | 2.9155 |
| 2.6047 | 11.81 | 1400 | 2.3544 |
| 2.0028 | 13.5 | 1600 | 2.0022 |
| 1.5415 | 15.19 | 1800 | 1.8024 |
| 1.1696 | 16.88 | 2000 | 1.7754 |
| 0.8809 | 18.57 | 2200 | 1.6793 |
| 0.7591 | 20.25 | 2400 | 1.8127 |
| 0.6056 | 21.94 | 2600 | 1.7993 |
| 0.5091 | 23.63 | 2800 | 1.7812 |
| 0.4569 | 25.32 | 3000 | 1.7781 |
| 0.4167 | 27.0 | 3200 | 1.8802 |
| 0.3432 | 28.69 | 3400 | 1.8600 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2
