File size: 2,188 Bytes
dd023e2 d187c45 dd023e2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 |
---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: dysarthria-base
results: []
---
<!-- 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. -->
# dysarthria-base
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an dysarthria dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2523
- Wer: 109.4374
- Cer: 72.5101
## 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: 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: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:--------:|:----:|:---------------:|:--------:|:-------:|
| 0.0039 | 13.5135 | 500 | 0.3016 | 86.2069 | 60.2961 |
| 0.0003 | 27.0270 | 1000 | 0.2616 | 86.5699 | 65.8816 |
| 0.0001 | 40.5405 | 1500 | 0.2577 | 79.8548 | 63.3580 |
| 0.0001 | 54.0541 | 2000 | 0.2565 | 119.6007 | 78.6003 |
| 0.0001 | 67.5676 | 2500 | 0.2549 | 122.6860 | 80.0471 |
| 0.0001 | 81.0811 | 3000 | 0.2539 | 122.6860 | 80.0808 |
| 0.0 | 94.5946 | 3500 | 0.2533 | 117.7858 | 77.2207 |
| 0.0 | 108.1081 | 4000 | 0.2527 | 112.7042 | 74.8654 |
| 0.0 | 121.6216 | 4500 | 0.2523 | 109.4374 | 72.5774 |
| 0.0 | 135.1351 | 5000 | 0.2523 | 109.4374 | 72.5101 |
### Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
|