Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Belarusian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use ales/whisper-tiny-be-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ales/whisper-tiny-be-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ales/whisper-tiny-be-test")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ales/whisper-tiny-be-test") model = AutoModelForSpeechSeq2Seq.from_pretrained("ales/whisper-tiny-be-test") - Notebooks
- Google Colab
- Kaggle
File size: 1,193 Bytes
bae08f8 1404413 bae08f8 9657aa8 a3e0786 bae08f8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | python src/run_speech_recognition_seq2seq_streaming.py \
--model_name_or_path="openai/whisper-tiny" \
--dataset_name="mozilla-foundation/common_voice_11_0" \
--dataset_config_name="be" \
--language="be" \
--train_split_name="train" \
--eval_split_name="validation" \
--model_index_name="Whisper Tiny Belarusian" \
\
--max_steps="500" \
--max_eval_samples="64" \
--output_dir="./" \
--per_device_train_batch_size="32" \
--per_device_eval_batch_size="32" \
--logging_steps="10" \
--logging_first_step \
--learning_rate="1e-4" \
--warmup_steps="10" \
--evaluation_strategy="steps" \
--eval_steps="10" \
--save_strategy="steps" \
--save_steps="10" \
--gradient_checkpointing \
--fp16 \
\
--shuffle_buffer_size="20" \
--generation_max_length="225" \
--max_duration_in_seconds="30" \
--text_column_name="sentence" \
--freeze_feature_encoder="False" \
--report_to="tensorboard" \
--metric_for_best_model="wer" \
--greater_is_better="False" \
--load_best_model_at_end \
\
--do_train \
--do_eval \
--ignore_data_skip \
--predict_with_generate \
--do_normalize_eval \
--streaming \
--use_auth_token \
--push_to_hub \
--hub_model_id="ales/whisper-tiny-be-test"
|