bn2ipa_TwoBraincells
This model is a fine-tuned version of samanjoy2/bn2ipa_TwoBraincells on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
- Wer: 0.0
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0454 | 1.23 | 100 | 0.0105 | 0.0283 |
| 0.0151 | 2.47 | 200 | 0.0024 | 0.0068 |
| 0.0052 | 3.7 | 300 | 0.0013 | 0.0025 |
| 0.0035 | 4.94 | 400 | 0.0005 | 0.0012 |
| 0.0013 | 6.17 | 500 | 0.0001 | 0.0 |
| 0.0009 | 7.41 | 600 | 0.0003 | 0.0003 |
| 0.0015 | 8.64 | 700 | 0.0001 | 0.0 |
| 0.0007 | 9.88 | 800 | 0.0001 | 0.0 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
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samanjoy2/bn2ipa_TwoBraincells