|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-tiny.en |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisperFinetune |
|
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. --> |
|
|
|
# whisperFinetune |
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5788 |
|
- Wer: 23.0816 |
|
|
|
## 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: 128 |
|
- 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: 100 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:------:|:----:|:---------------:|:-------:| |
|
| 2.837 | 0.2778 | 10 | 1.8599 | 36.0344 | |
|
| 0.7523 | 0.5556 | 20 | 0.6735 | 27.1639 | |
|
| 0.6525 | 0.8333 | 30 | 0.5461 | 23.2965 | |
|
| 0.4156 | 1.1111 | 40 | 0.4989 | 22.3757 | |
|
| 0.3478 | 1.3889 | 50 | 0.5054 | 22.4371 | |
|
| 0.3294 | 1.6667 | 60 | 0.4953 | 22.4371 | |
|
| 0.3547 | 1.9444 | 70 | 0.4787 | 20.1964 | |
|
| 0.1265 | 2.2222 | 80 | 0.5288 | 22.2836 | |
|
| 0.143 | 2.5 | 90 | 0.5582 | 29.0976 | |
|
| 0.1498 | 2.7778 | 100 | 0.5788 | 23.0816 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.1 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.19.1.dev0 |
|
- Tokenizers 0.19.1 |
|
|
