#!/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