|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-tiny |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper_tiny_char |
|
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_char |
|
|
|
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: |
|
- Loss: 0.3979 |
|
- Wer: 100.0 |
|
|
|
## 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: 0.0001 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 32 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant |
|
- lr_scheduler_warmup_steps: 1000 |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-----:| |
|
| 1.1664 | 1.0 | 859 | 0.5140 | 100.0 | |
|
| 0.5122 | 2.0 | 1718 | 0.4044 | 100.0 | |
|
| 0.4035 | 3.0 | 2577 | 0.3596 | 100.0 | |
|
| 0.3403 | 4.0 | 3436 | 0.3394 | 100.0 | |
|
| 0.2967 | 5.0 | 4295 | 0.3395 | 100.0 | |
|
| 0.2582 | 6.0 | 5154 | 0.3314 | 100.0 | |
|
| 0.2286 | 7.0 | 6013 | 0.3571 | 100.0 | |
|
| 0.2034 | 8.0 | 6872 | 0.3590 | 100.0 | |
|
| 0.181 | 9.0 | 7731 | 0.3706 | 100.0 | |
|
| 0.1618 | 10.0 | 8590 | 0.3979 | 100.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.0 |
|
- Pytorch 2.3.1 |
|
- Datasets 2.21.0 |
|
- Tokenizers 0.19.1 |
|
|
