simrank14 Whisper small 1C 8 17d
This model is a fine-tuned version of simran14/small_8_17d on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0160
- Wer: 1.9285
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: 100
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0047 | 4.0 | 1000 | 0.0177 | 2.2565 |
| 0.0002 | 8.0 | 2000 | 0.0160 | 1.9285 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.21.1.dev0
- Tokenizers 0.19.1
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Model tree for simran14/small_8_17e
Base model
openai/whisper-small Finetuned
simran14/small_8_a Finetuned
simran14/small_8_b Finetuned
simran14/small_8_c Finetuned
simran14/small_8_17dDataset used to train simran14/small_8_17e
Evaluation results
- Wer on Common Voice 17.0test set self-reported1.928