metadata
language:
- el
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper tiny Greek El Greco
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_11_0 el
type: mozilla-foundation/common_voice_11_0
config: el
split: None
metrics:
- name: Wer
type: wer
value: 45.65378900445765
Whisper tiny Greek El Greco
This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/common_voice_11_0 el dataset. It achieves the following results on the evaluation set:
- Loss: 0.5615
- Wer: 45.6538
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: 3e-06
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3389 | 8.33 | 1000 | 0.5659 | 49.1363 |
| 0.1562 | 16.67 | 2000 | 0.5615 | 45.6538 |
| 0.0616 | 25.0 | 3000 | 0.6440 | 46.9632 |
| 0.0116 | 33.33 | 4000 | 0.7578 | 47.9569 |
| 0.0046 | 41.67 | 5000 | 0.8374 | 48.6999 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 2.0.0.dev20221216+cu116
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2