|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-tiny |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- arrow |
|
model-index: |
|
- name: whisper-tiny-multitask-hf-200k-ep10_practice_0805 |
|
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. --> |
|
|
|
# whisper-tiny-multitask-hf-200k-ep10_practice_0805 |
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the arrow dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0082 |
|
- Cer: 100.0 |
|
- Acc: 1.0 |
|
|
|
## 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: 5e-05 |
|
- train_batch_size: 128 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 1000 |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Cer | Acc | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-----:|:---:| |
|
| 0.54 | 1.0 | 1584 | 0.2232 | 100.0 | 1.0 | |
|
| 0.1377 | 2.0 | 3168 | 0.0907 | 100.0 | 1.0 | |
|
| 0.0538 | 3.0 | 4752 | 0.0473 | 100.0 | 1.0 | |
|
| 0.0286 | 4.0 | 6336 | 0.0309 | 100.0 | 1.0 | |
|
| 0.0178 | 5.0 | 7920 | 0.0214 | 100.0 | 1.0 | |
|
| 0.011 | 6.0 | 9504 | 0.0167 | 100.0 | 1.0 | |
|
| 0.008 | 7.0 | 11088 | 0.0130 | 100.0 | 1.0 | |
|
| 0.0055 | 8.0 | 12672 | 0.0115 | 100.0 | 1.0 | |
|
| 0.0038 | 9.0 | 14256 | 0.0094 | 100.0 | 1.0 | |
|
| 0.0027 | 10.0 | 15840 | 0.0082 | 100.0 | 1.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.36.2 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.0 |
|
|
