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whisper-large-v2-ft-my_dataset_snr0_owner12_MPSENet-241017_h100
This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0074
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: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.6246 | 1.6667 | 25 | 0.0497 |
| 0.0152 | 3.3333 | 50 | 0.0101 |
| 0.007 | 5.0 | 75 | 0.0055 |
| 0.0001 | 6.6667 | 100 | 0.0096 |
| 0.0 | 8.3333 | 125 | 0.0074 |
| 0.0 | 10.0 | 150 | 0.0074 |
Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for dylanewbie/whisper-large-v2-ft-my_dataset_snr0_owner12_MPSENet-241017_h100
Base model
openai/whisper-large-v2