verbalex-hi
This model is a fine-tuned version of openai/whisper-small on the verba_lex_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.0554
- Wer: 1.6019
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0011 | 5.0505 | 1000 | 0.0504 | 1.7762 |
| 0.0001 | 10.1010 | 2000 | 0.0529 | 1.6268 |
| 0.0001 | 15.1515 | 3000 | 0.0541 | 1.6434 |
| 0.0001 | 20.2020 | 4000 | 0.0550 | 1.6102 |
| 0.0 | 25.2525 | 5000 | 0.0554 | 1.6019 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.19.1
- Downloads last month
- 86
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for RitchieP/verbalex-hi
Base model
openai/whisper-small