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Demo Model Whisper Large
This model is a fine-tuned version of openai/whisper-large-v3 on the b-brave/speech_disorders_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.3289
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.6981 | 0.0794 | 10 | 3.0679 |
2.7279 | 0.1587 | 20 | 2.9277 |
2.4063 | 0.2381 | 30 | 2.5832 |
2.0624 | 0.3175 | 40 | 1.9876 |
1.5946 | 0.3968 | 50 | 1.4144 |
1.032 | 0.4762 | 60 | 0.8543 |
0.6495 | 0.5556 | 70 | 0.5918 |
0.4086 | 0.6349 | 80 | 0.5795 |
0.6702 | 0.7143 | 90 | 1.3734 |
0.7216 | 0.7937 | 100 | 1.2499 |
0.7264 | 0.8730 | 110 | 0.4231 |
0.442 | 0.9524 | 120 | 0.3969 |
0.2848 | 1.0317 | 130 | 0.3757 |
0.2054 | 1.1111 | 140 | 0.3697 |
0.307 | 1.1905 | 150 | 0.3584 |
0.3914 | 1.2698 | 160 | 0.3579 |
0.175 | 1.3492 | 170 | 0.3515 |
0.2399 | 1.4286 | 180 | 0.3414 |
0.3367 | 1.5079 | 190 | 0.3360 |
0.2457 | 1.5873 | 200 | 0.3315 |
0.3358 | 1.6667 | 210 | 0.3351 |
0.1335 | 1.7460 | 220 | 0.3314 |
0.1844 | 1.8254 | 230 | 0.3308 |
0.3878 | 1.9048 | 240 | 0.3282 |
0.3594 | 1.9841 | 250 | 0.3289 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for miosipof/asr_michael_test2.1
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