metadata
language:
- ga
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-Irish
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 11.0
type: mozilla-foundation/common_voice_11_0
config: ga-IE
split: test
args: ga-IE
metrics:
- name: Wer
type: wer
value: 40.88269454123113
whisper-large-v2-Irish
This model is a fine-tuned version of kpriyanshu256/whisper-large-v2-cy-500-32-1e-05 on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.1613
- Wer: 40.8827
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4018 | 3.01 | 100 | 0.9510 | 47.8513 |
| 0.0465 | 6.02 | 200 | 0.9984 | 42.4797 |
| 0.0127 | 9.02 | 300 | 1.0906 | 42.9152 |
| 0.0024 | 12.03 | 400 | 1.1443 | 40.8246 |
| 0.0017 | 15.04 | 500 | 1.1613 | 40.8827 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2