train05
This model is a fine-tuned version of openai/whisper-base on the ksponspeech_05 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4059
- Cer: 13.3884
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: 1e-05
- train_batch_size: 128
- eval_batch_size: 64
- 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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.434 | 0.13 | 100 | 0.4239 | 14.0769 |
| 0.4208 | 0.25 | 200 | 0.4212 | 14.0593 |
| 0.4245 | 0.38 | 300 | 0.4196 | 13.9936 |
| 0.4173 | 0.51 | 400 | 0.4169 | 14.0972 |
| 0.4245 | 0.63 | 500 | 0.4147 | 14.0310 |
| 0.4103 | 0.76 | 600 | 0.4102 | 14.1257 |
| 0.4097 | 0.88 | 700 | 0.4059 | 13.3884 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
openai/whisper-base