script/down_on.sub

script/down_on.sub

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+#!/bin/bash
+#SBATCH -J down_on                         # Job name
+#SBATCH -o down_on_%j.out                  # Name of stdout output log file (%j expands to jobID)
+#SBATCH -e down_on_%j.err                  # Name of stderr output log file (%j expands to jobID)
+#SBATCH -N 1                                 # Total number of nodes requested
+#SBATCH -n 1                                 # Total number of cores requested
+#SBATCH --mem=5000                          # Total amount of (real) memory requested (per node)
+#SBATCH -t 10:00:00                          # Time limit (hh:mm:ss)
+#SBATCH --partition=gpu              # Request partition for resource allocation
+#SBATCH --gres=gpu:1                         # Specify a list of generic consumable resources (per node)
+
+cd /home/mr249/ac_h
+/home/mr249/env/hugh/bin/python run_audio_classification.py \
+    --model_name_or_path facebook/wav2vec2-base \
+    --dataset_name MatsRooth/down_on \
+    --output_dir wav2vec2-base_down_on \
+    --overwrite_output_dir \
+    --remove_unused_columns False \
+    --do_train \
+    --do_eval \
+    --fp16 \
+    --learning_rate 3e-5 \
+    --max_length_seconds 1 \
+    --attention_mask False \
+    --warmup_ratio 0.1 \
+    --num_train_epochs 5 \
+    --per_device_train_batch_size 32 \
+    --gradient_accumulation_steps 4 \
+    --per_device_eval_batch_size 32 \
+    --dataloader_num_workers 1 \
+    --logging_strategy steps \
+    --logging_steps 10 \
+    --evaluation_strategy epoch \
+    --save_strategy epoch \
+    --load_best_model_at_end True \
+    --metric_for_best_model accuracy \
+    --save_total_limit 3 \
+    --seed 0