metadata
language:
- fy
base_model: distil-small.en
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_6_1
metrics:
- wer
model-index:
- name: DistilFT-Frisian-1h
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_6_fy_NL
type: mozilla-foundation/common_voice_6_1
args: 'config: fy-NL, split: train-1h'
metrics:
- name: Wer
type: wer
value: 54.30048119764748
DistilFT-Frisian-1h
This model is a fine-tuned version of distil-small.en on the mozilla-foundation/common_voice_6_fy_NL dataset. It achieves the following results on the evaluation set:
- Loss: 1.9212
- Wer: 54.3005
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2482 | 5.6180 | 500 | 1.8089 | 66.9720 |
| 0.1076 | 11.2360 | 1000 | 1.8466 | 62.2349 |
| 0.0448 | 16.8539 | 1500 | 1.9436 | 59.3548 |
| 0.0062 | 22.4719 | 2000 | 1.8986 | 56.5960 |
| 0.0016 | 28.0899 | 2500 | 1.9025 | 54.4324 |
| 0.0001 | 33.7079 | 3000 | 1.9212 | 54.3005 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1