|
|
--- |
|
|
library_name: transformers |
|
|
license: apache-2.0 |
|
|
base_model: openai/whisper-tiny |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- PolyAI/minds14 |
|
|
metrics: |
|
|
- wer |
|
|
model-index: |
|
|
- name: whisper-tiny-minds14 |
|
|
results: |
|
|
- task: |
|
|
name: Automatic Speech Recognition |
|
|
type: automatic-speech-recognition |
|
|
dataset: |
|
|
name: PolyAI/minds14 |
|
|
type: PolyAI/minds14 |
|
|
metrics: |
|
|
- name: Wer |
|
|
type: wer |
|
|
value: 0.3482880755608028 |
|
|
--- |
|
|
|
|
|
<!-- 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. --> |
|
|
|
|
|
# whisper-tiny-minds14 |
|
|
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.4687 |
|
|
- Wer: 0.3483 |
|
|
- Wer Ortho: 0.3609 |
|
|
|
|
|
## 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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- lr_scheduler_warmup_steps: 100 |
|
|
- num_epochs: 5 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Wer Ortho | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:| |
|
|
| 3.2197 | 1.0 | 29 | 2.3350 | 0.3973 | 0.5231 | |
|
|
| 1.8109 | 2.0 | 58 | 0.6575 | 0.3796 | 0.4170 | |
|
|
| 0.6252 | 3.0 | 87 | 0.4859 | 0.3583 | 0.3720 | |
|
|
| 0.3612 | 4.0 | 116 | 0.4680 | 0.3613 | 0.3726 | |
|
|
| 0.2543 | 5.0 | 145 | 0.4687 | 0.3483 | 0.3609 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.57.0 |
|
|
- Pytorch 2.8.0+cu126 |
|
|
- Datasets 4.1.1 |
|
|
- Tokenizers 0.22.1 |
|
|
|
