|
--- |
|
language: |
|
- el |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- google/fleurs |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-large-v2-greek |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: FLEURS |
|
type: google/fleurs |
|
config: el_gr |
|
split: test |
|
args: el_gr |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 1.0564819086535293 |
|
--- |
|
|
|
<!-- 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-large-v2-greek |
|
|
|
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the FLEURS dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2061 |
|
- Wer Ortho: 1.0424 |
|
- Wer: 1.0565 |
|
|
|
## 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: 2 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant_with_warmup |
|
- lr_scheduler_warmup_steps: 50 |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
|
| 0.1416 | 1.0 | 217 | 0.1611 | 1.2560 | 1.2638 | |
|
| 0.0617 | 2.0 | 435 | 0.1612 | 1.1956 | 1.1930 | |
|
| 0.027 | 3.0 | 653 | 0.1716 | 1.6495 | 1.6518 | |
|
| 0.0155 | 4.0 | 871 | 0.1812 | 1.2816 | 1.2878 | |
|
| 0.0114 | 5.0 | 1088 | 0.1792 | 1.0087 | 1.0071 | |
|
| 0.0085 | 6.0 | 1306 | 0.1891 | 0.9757 | 0.9971 | |
|
| 0.0073 | 7.0 | 1524 | 0.2017 | 1.0040 | 1.0225 | |
|
| 0.0062 | 8.0 | 1742 | 0.1980 | 1.0737 | 1.0779 | |
|
| 0.0094 | 9.0 | 1959 | 0.2103 | 0.8469 | 0.8459 | |
|
| 0.0039 | 9.97 | 2170 | 0.2061 | 1.0424 | 1.0565 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.30.0.dev0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.13.1 |
|
- Tokenizers 0.13.3 |
|
|
