feat: use bart-large-cnn

fix: log metadata

fix: define function before it is used

fix: correct arg

feat: save model frequently

feat: split script for small and big runs

feat: update test script

feat: use bart large

fix: use correct key

fix: log correct metrics

feat: hardcode eval_steps

fix: eval_steps belongs to training_args

feat: eval_steps already exists in TrainingArguments

Merge branch 'main'

feat: set default x-axis

feat: log everything through wandb

Merge pull request #21 from borisdayma/feat-no_decay

feat: eval less often for faster training

Merge pull request #20 from borisdayma/eval-interval

feat: no decay option

feat: use common wandb shared folder

feat: change default for quick tests

feat: hardcoded datasets

Add eval_interval to evaluate and log every so often.

Shift tokens in numpy because the built in shift function stalls.

fix: should be converted to array

fix: labels array

fix: typo

fix: model config

fix: correct decoder_input_ids and labels

feat: don't log model by default

feat: fix typo

feat: log model

doc: fix comment

feat: update default parameters

feat: output_length considers bos and eos

fix: missing arg

feat: shared cache folder

feat: update lr range

fix: accumulation vs lr

Move generate nb by @ghosh-r to demo

Merge pull request #14 from khalidsaifullaah/main

Merge pull request #13 from borisdayma/model-generate-notebook

Updated with train_file flag to resolve the error

notebook example for model.generate

text-heneration-notebook

feat: update sweep parameters

feat: update script

fix: wandb logging with sync_tensorboard

feat: add sweep for parameter search