#!/usr/bin/env bash

TOTAL_NUM_UPDATES=1000000000000000  # 10 epochs through IMDB for bsz 32
WARMUP_UPDATES=216085   # 6 percent of the number of updates
LR=1e-05                # Peak LR for polynomial LR scheduler.
HEAD_NAME=hesaid        # Custom name for the classification head.
NUM_CLASSES=2           # Number of classes for the classification task.
MAX_SENTENCES=35        # Batch size.
ROBERTA_PATH="roberta_base_fairseq/model.pt"

fairseq-train data-bin/ \
    --restore-file $ROBERTA_PATH \
    --max-positions 512 \
    --max-sentences $MAX_SENTENCES \
    --max-tokens 8192 \
    --task sentence_prediction \
    --reset-optimizer --reset-dataloader --reset-meters \
    --required-batch-size-multiple 2 \
    --init-token 0 --separator-token 2 \
    --arch roberta_base \
    --criterion sentence_prediction \
    --classification-head-name $HEAD_NAME \
    --num-classes $NUM_CLASSES \
    --dropout 0.1 --attention-dropout 0.1 \
    --weight-decay 0.1 --optimizer adam --adam-betas "(0.9, 0.98)" --adam-eps 1e-06 \
    --clip-norm 0.0 \
    --lr-scheduler polynomial_decay --lr $LR --total-num-update $TOTAL_NUM_UPDATES --warmup-updates $WARMUP_UPDATES \
    --max-epoch 5 --log-format tqdm --log-interval 1 --save-interval-updates 15000 --keep-interval-updates 5 --skip-invalid-size-inputs-valid-test \
    --best-checkpoint-metric accuracy --maximize-best-checkpoint-metric \
    --find-unused-parameters \
    --update-freq 1