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This model is based on whisper large v3 and trained on the dataset of jlvdoorn/atco2-asr-atcosim It starts as an experimental model and seems to be abit overfit to air traffic vocabs but with better capturing of some of the radio words
Training Metric:
eval/loss:0.06807401776313782
eval/runtime:1,922.2684
eval/samples_per_second:1.054
eval/steps_per_second:0.132
eval/wer:2.3947324274450597
train/epoch:7.1146245059288535
train/global_step:3,600
train/grad_norm:0.05588585510849953
train/learning_rate:0.00000406779661016949
train/loss:0.001
hyperparameter:
--model_name openai/whisper-large-v3 \
--train_batch_size 16 \
--eval_batch_size 8 \
--bf16 false \
--learning_rate 1e-5 \
--warmup_steps 100 \
--max_steps 6000 \
--save_steps 200 \
--eval_steps 200 \
--gradient_checkpointing true \
--output_dir ./whisper_atc_20241219
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