Whisper_Samveg17@
This model is a fine-tuned version of openai/whisper-base on the Google Fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.5117
- Wer: 37.9539
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: 8
- 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: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1401 | 4.72 | 1000 | 0.3607 | 39.9494 |
| 0.0174 | 9.43 | 2000 | 0.4239 | 38.9954 |
| 0.0022 | 14.15 | 3000 | 0.4867 | 38.4698 |
| 0.001 | 18.87 | 4000 | 0.5117 | 37.9539 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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Base model
openai/whisper-base