Training in progress, step 1000

pytorch_model.bin

@@ -1,3 +1,3 @@
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-oid sha256:c22128b5165dfeae8a0205af63006ac2139feec572cde03e1a7a55d766712e36
+oid sha256:1784dc377b04129d408dafd0812ab0265129464c8032eee0d8c30ddabbf5e516
 size 3055754841

run.sh

@@ -11,7 +11,7 @@ python run_speech_recognition_seq2seq_streaming.py \
         --max_steps="5000" \
         --output_dir="./" \
         --per_device_train_batch_size="32" \
-        --per_device_eval_batch_size="32" \
+        --per_device_eval_batch_size="16" \
 	--gradient_accumulation_steps="2" \
         --logging_steps="25" \
         --learning_rate="1e-5" \

run_speech_recognition_seq2seq_streaming.py

@@ -616,7 +616,7 @@ def main():
         else:
             kwargs["dataset"] = data_args.dataset_name
         if "common_voice" in data_args.dataset_name:
-            kwargs["language"] = data_args.dataset_config_name
+            kwargs["language"] = data_args.dataset_config_name[:2]
         if model_args.model_index_name is not None:
             kwargs["model_name"] = model_args.model_index_name
 

runs/Dec07_16-16-46_132-145-197-252/1670429866.6537673/events.out.tfevents.1670429866.132-145-197-252.68912.1

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+size 5708

runs/Dec07_16-16-46_132-145-197-252/events.out.tfevents.1670429866.132-145-197-252.68912.0

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training_args.bin

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