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whisper-base-cdsd1h-lora
This model is a fine-tuned version of openai/whisper-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1538
- Wer: 80.9311
- Cer: 54.8108
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: 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: 100
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 1.26 | 1.0 | 559 | 1.2699 | 88.5407 | 75.2064 |
| 0.9831 | 2.0 | 1118 | 1.1855 | 86.8845 | 68.5931 |
| 0.8122 | 3.0 | 1677 | 1.1086 | 82.5873 | 66.3942 |
| 0.6565 | 4.0 | 2236 | 1.0974 | 83.6616 | 71.2172 |
| 0.5474 | 5.0 | 2795 | 1.0791 | 82.5425 | 57.2223 |
| 0.4118 | 6.0 | 3354 | 1.0899 | 81.1996 | 57.5084 |
| 0.2976 | 7.0 | 3913 | 1.1049 | 81.1996 | 55.4729 |
| 0.1923 | 8.0 | 4472 | 1.1130 | 80.8863 | 57.0343 |
| 0.1222 | 9.0 | 5031 | 1.1395 | 80.7968 | 55.4974 |
| 0.073 | 10.0 | 5590 | 1.1538 | 80.9311 | 54.8108 |
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.0.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for llillillil/whisper-base-cdsd1h-lora
Base model
openai/whisper-base