|
|
--- |
|
|
library_name: transformers |
|
|
license: apache-2.0 |
|
|
base_model: openai/whisper-medium |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- wer |
|
|
model-index: |
|
|
- name: w_medium |
|
|
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. --> |
|
|
|
|
|
# w_medium |
|
|
|
|
|
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.7098 |
|
|
- Wer: 74.8294 |
|
|
|
|
|
## 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 |
|
|
- num_epochs: 4 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|
|:-------------:|:------:|:----:|:---------------:|:--------:| |
|
|
| 0.7765 | 0.4548 | 1000 | 0.7543 | 130.5512 | |
|
|
| 0.6989 | 0.9095 | 2000 | 0.6826 | 74.6797 | |
|
|
| 0.4569 | 1.3643 | 3000 | 0.6605 | 80.5546 | |
|
|
| 0.4813 | 1.8190 | 4000 | 0.6465 | 79.3330 | |
|
|
| 0.3847 | 2.2738 | 5000 | 0.6780 | 73.8704 | |
|
|
| 0.3865 | 2.7285 | 6000 | 0.6712 | 82.8552 | |
|
|
| 0.2736 | 3.1833 | 7000 | 0.7016 | 75.8153 | |
|
|
| 0.2428 | 3.6380 | 8000 | 0.7098 | 74.8294 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.44.2 |
|
|
- Pytorch 2.4.1+cu118 |
|
|
- Datasets 3.0.0 |
|
|
- Tokenizers 0.19.1 |
|
|
|
