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torgo_tiny_finetune_F01
jindaznb/torgo_tiny_finetune_F01
torgo_tiny_finetune_F01 is a automatic speech recognition model from jindaznb. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Jun 2, 2024
- Updated
- Jun 9, 2024
- SHA
- deeff7c6
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
torgo_tiny_finetune_F01
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2909
- Wer: 24.6180
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.6321 | 0.83 | 500 | 0.3242 | 51.0187 |
| 0.1046 | 1.66 | 1000 | 0.4511 | 55.3480 |
| 0.099 | 2.49 | 1500 | 0.3225 | 31.5789 |
| 0.0656 | 3.32 | 2000 | 0.3007 | 50.6791 |
| 0.0506 | 4.15 | 2500 | 0.2984 | 27.6740 |
| 0.0383 | 4.98 | 3000 | 0.2853 | 23.6842 |
| 0.0296 | 5.8 | 3500 | 0.3449 | 32.3430 |
| 0.0198 | 6.63 | 4000 | 0.2730 | 26.6553 |
| 0.0192 | 7.46 | 4500 | 0.3049 | 49.2360 |
| 0.0136 | 8.29 | 5000 | 0.3279 | 25.8065 |
| 0.0121 | 9.12 | 5500 | 0.3082 | 23.8540 |
| 0.0101 | 9.95 | 6000 | 0.2722 | 25.5518 |
| 0.0065 | 10.78 | 6500 | 0.3414 | 32.0883 |
| 0.0062 | 11.61 | 7000 | 0.3140 | 22.9202 |
| 0.0053 | 12.44 | 7500 | 0.2601 | 24.7029 |
| 0.002 | 13.27 | 8000 | 0.2978 | 33.8710 |
| 0.0021 | 14.1 | 8500 | 0.2798 | 31.1545 |
| 0.0011 | 14.93 | 9000 | 0.3137 | 25.1273 |
| 0.0006 | 15.75 | 9500 | 0.2926 | 22.2411 |
| 0.0003 | 16.58 | 10000 | 0.2891 | 23.4295 |
| 0.0001 | 17.41 | 10500 | 0.2930 | 25.2122 |
| 0.0001 | 18.24 | 11000 | 0.2906 | 24.7878 |
| 0.0001 | 19.07 | 11500 | 0.2906 | 24.6180 |
| 0.0 | 19.9 | 12000 | 0.2909 | 24.6180 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.7
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jun 2, 2024
- Updated
- Jun 9, 2024