metadata
language:
- ka
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Large-v2 Georgian
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_11_0 ka
type: mozilla-foundation/common_voice_11_0
config: ka
split: test
args: ka
metrics:
- name: Wer
type: wer
value: 31.85479597244303
Whisper Large-v2 Georgian
This model is a fine-tuned version of openai/whisper-large-v2 on the mozilla-foundation/common_voice_11_0 ka dataset. It achieves the following results on the evaluation set:
- Loss: 0.1187
- Wer: 31.8548
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: 32
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0413 | 2.06 | 200 | 0.0712 | 36.6296 |
| 0.006 | 5.04 | 400 | 0.0899 | 33.7467 |
| 0.0008 | 8.02 | 600 | 0.1039 | 32.2311 |
| 0.0002 | 11.01 | 800 | 0.1141 | 31.9290 |
| 0.0001 | 13.06 | 1000 | 0.1187 | 31.8548 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2