metadata
license: apache-2.0
base_model: honzapucalek/p6_commonvoice_16_1
tags:
- generated_from_trainer
datasets:
- honzapucalek/p6_moderate
metrics:
- wer
model-index:
- name: p6_commonvoice_moderate
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: honzapucalek/p6_moderate cs
type: honzapucalek/p6_moderate
config: cs
split: test
args: cs
metrics:
- name: Wer
type: wer
value: 0.2509760178471835
p6_commonvoice_moderate
This model is a fine-tuned version of honzapucalek/p6_commonvoice_16_1 on the honzapucalek/p6_moderate cs dataset. It achieves the following results on the evaluation set:
- Loss: 0.9240
- Wer: 0.2510
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0012 | 27.78 | 1000 | 0.7396 | 0.2530 |
| 0.0005 | 55.56 | 2000 | 0.7812 | 0.2578 |
| 0.0001 | 83.33 | 3000 | 0.8881 | 0.2531 |
| 0.0 | 111.11 | 4000 | 0.9150 | 0.2522 |
| 0.0 | 138.89 | 5000 | 0.9240 | 0.2510 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1