Hamsa-meetings
This model is a fine-tuned version of nadsoft/hamsa-v0.1-beta on the nadsoft/nadsoft-meetings dataset. It achieves the following results on the evaluation set:
- Loss: 0.7825
- Wer Ortho: 38.5890
- Wer: 38.5890
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: 6.25e-06
- train_batch_size: 32
- 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: 10
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.3968 | 2.33 | 100 | 0.6252 | 40.3067 | 40.3067 |
| 0.0793 | 4.65 | 200 | 0.6724 | 40.0 | 40.0 |
| 0.0171 | 6.98 | 300 | 0.7306 | 38.2209 | 38.2209 |
| 0.0054 | 9.3 | 400 | 0.7718 | 38.8957 | 38.8957 |
| 0.0038 | 11.63 | 500 | 0.7825 | 38.5890 | 38.5890 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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