Model save

run.sh

@@ -1,6 +1,6 @@
 torchrun --standalone --nnodes=1 --nproc_per_node=1 run_speech_recognition_seq2seq_streaming.py \
 	--model_name_or_path="openai/whisper-large-v2" \
-	--resume_from_checkpoint="checkpoint-59000" \
+	--resume_from_checkpoint="checkpoint-60000" \
 	--ignore_data_skip \
 	--dataset_name="audiofolder" \
 	--dataset_data_dir="../data/dataset_wav" \

runs/Dec15_11-07-38_dante/1671098963.3344157/events.out.tfevents.1671098963.dante.3886445.1

@@ -0,0 +1,3 @@
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+size 5749

runs/Dec15_11-07-38_dante/events.out.tfevents.1671098963.dante.3886445.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cbcb688056fe9402477aed1a2a9983a1ac196b1799fd4f0454f91eb1454d5eb5
+size 4589

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9d88e77da66cf393758e091354926aa27b475a0726e8bca350890844a76244b9
 size 3579