|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-tiny |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: whisper_4_with_init_sun_syl_wd_0_lr_3en4_0010 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information Keras had access to. You should |
|
probably proofread and complete it, then remove this comment. --> |
|
|
|
# whisper_4_with_init_sun_syl_wd_0_lr_3en4_0010 |
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 1.2715 |
|
- Train Accuracy: 0.0246 |
|
- Train Wermet: 0.5866 |
|
- Train Wermet Syl: 0.8432 |
|
- Validation Loss: 1.2543 |
|
- Validation Accuracy: 0.0196 |
|
- Validation Wermet: 0.4646 |
|
- Validation Wermet Syl: 0.5397 |
|
- Epoch: 9 |
|
|
|
## 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: |
|
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 0.0003, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0} |
|
- training_precision: float32 |
|
|
|
### Training results |
|
|
|
| Train Loss | Train Accuracy | Train Wermet | Train Wermet Syl | Validation Loss | Validation Accuracy | Validation Wermet | Validation Wermet Syl | Epoch | |
|
|:----------:|:--------------:|:------------:|:----------------:|:---------------:|:-------------------:|:-----------------:|:---------------------:|:-----:| |
|
| 4.9621 | 0.0111 | 1.3737 | 1.2531 | 3.9542 | 0.0114 | 0.9773 | 0.9699 | 0 | |
|
| 4.6813 | 0.0116 | 0.9321 | 0.9542 | 3.9070 | 0.0114 | 0.9669 | 0.9552 | 1 | |
|
| 4.6267 | 0.0117 | 0.9053 | 0.9424 | 3.9109 | 0.0114 | 0.9465 | 0.9128 | 2 | |
|
| 4.5866 | 0.0118 | 0.8961 | 0.9453 | 3.8787 | 0.0115 | 0.9210 | 0.8988 | 3 | |
|
| 4.5246 | 0.0119 | 0.9086 | 1.0238 | 3.8947 | 0.0113 | 0.9346 | 0.8618 | 4 | |
|
| 4.0723 | 0.0131 | 0.9445 | 1.1479 | 2.8783 | 0.0135 | 0.8293 | 0.9656 | 5 | |
|
| 2.9304 | 0.0167 | 1.1693 | 1.7199 | 1.7990 | 0.0168 | 0.5867 | 0.6425 | 6 | |
|
| 2.0844 | 0.0201 | 0.8414 | 1.1849 | 1.5133 | 0.0180 | 0.5178 | 0.5473 | 7 | |
|
| 1.6228 | 0.0225 | 0.7801 | 1.0964 | 1.3701 | 0.0189 | 0.4690 | 0.5092 | 8 | |
|
| 1.2715 | 0.0246 | 0.5866 | 0.8432 | 1.2543 | 0.0196 | 0.4646 | 0.5397 | 9 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.0.dev0 |
|
- TensorFlow 2.13.0 |
|
- Tokenizers 0.13.3 |
|
|
