Model save

pytorch_model.bin

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run_1.sh

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+python run_speech_recognition_seq2seq_streaming.py \
+--model_name_or_path="openai/whisper-medium" \
+--dataset_name="google/fleurs" \
+--dataset_config_name="ps_af" \
+--language="pashto" \
+--train_split_name="train+validation" \
+--eval_split_name="test" \
+--model_index_name="Whisper Medium Pashto" \
+--max_steps="1000" \
+--output_dir="./" \
+--per_device_train_batch_size="32" \
+  --per_device_eval_batch_size="16" \
+  --gradient_accumulation_steps="2" \
+--logging_steps="25" \
+--learning_rate="3e-7" \
+--warmup_steps="50" \
+--evaluation_strategy="steps" \
+--eval_steps="100" \
+--save_strategy="steps" \
+--save_steps="100" \
+--generation_max_length="225" \
+--length_column_name="input_length" \
+--max_duration_in_seconds="30" \
+--text_column_name="transcription" \
+--freeze_feature_encoder="False" \
+--report_to="tensorboard" \
+--metric_for_best_model="wer" \
+--gradient_checkpointing \
+--fp16 \
+--overwrite_output_dir="False" \
+--do_train \
+--do_eval \
+--predict_with_generate \
+--do_normalize_eval \
+--use_auth_token \
+--streaming="False" \
+--push_to_hub

runs/Dec10_08-09-54_132-145-129-157/1670659838.3288467/events.out.tfevents.1670659838.132-145-129-157.103454.1

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runs/Dec10_08-09-54_132-145-129-157/events.out.tfevents.1670659838.132-145-129-157.103454.0

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training_args.bin

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