metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny.en
tags:
- generated_from_trainer
datasets:
- lalipa/jv_id_asr_split
metrics:
- wer
model-index:
- name: from-scratch
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: lalipa/jv_id_asr_split jv_id_asr_source
type: lalipa/jv_id_asr_split
config: jv_id_asr_source
split: validation
args: jv_id_asr_source
metrics:
- name: Wer
type: wer
value: 6.432243287950121
from-scratch
This model is a fine-tuned version of openai/whisper-tiny.en on the lalipa/jv_id_asr_split jv_id_asr_source dataset. It achieves the following results on the evaluation set:
- Loss: 10.8537
- Wer: 6.4322
- Cer: 9.6337
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 150
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 10.8562 | 0.2041 | 30 | 10.8560 | 17.0625 | 24.9361 |
| 10.8557 | 0.4082 | 60 | 10.8553 | 20.3833 | 28.0200 |
| 10.8549 | 0.6122 | 90 | 10.8545 | 11.6823 | 17.2418 |
| 10.8542 | 0.8163 | 120 | 10.8539 | 10.5108 | 15.8910 |
| 10.8538 | 1.0204 | 150 | 10.8537 | 6.4322 | 9.6337 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.1
- Datasets 3.0.1
- Tokenizers 0.20.0