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fix: missing arg
f65ccb3
fix: typo
a173dad
feat: restore state from checkpoint
4aced93
Merge branch 'add-tokenizer-save' into feat-model
28f08be
feat: model config not hardcoded
ad6ad64
add tokenizer save to wandb:
aecf3a7
fix: config used in preprocess
6d252e9
fix: custom reference
e803feb
fix: typo
ca83cca
feat: allow loading a model checkpoint
3d61350
feat: hardcode our full dataset
499ddb2
feat: bigger warnings
62dad48
feat: use str mode for json
3e6ab1f
fix: import json
90320ea
fix: output directory must exist
6e89e9e
feat: update model config + save optim
a30dbd3
fix: model config
5aaf9df
feat: use bart-large-cnn
19d68bb
fix: log metadata
99a1ff5
fix: define function before it is used
d449092
fix: correct arg
283adc6
feat: save model frequently
754f876
feat: use bart large
bb3bfa6
fix: use correct key
b20769d
fix: log correct metrics
3fef9c1
feat: hardcode eval_steps
4c5e5a7
fix: eval_steps belongs to training_args
900136f
feat: eval_steps already exists in TrainingArguments
0a0080b
Merge branch 'main'
3ddf1c5
feat: set default x-axis
97a008e
feat: log everything through wandb
19070ab
Merge pull request #21 from borisdayma/feat-no_decay
b29bab7
unverified
feat: eval less often for faster training
f0a53ac
Merge pull request #20 from borisdayma/eval-interval
635402d
unverified
feat: no decay option
5a3211f
feat: use common wandb shared folder
7aa2f4b
feat: hardcoded datasets
e8709a6
Add eval_interval to evaluate and log every so often.
566d5f2
Pedro Cuenca
commited on
Shift tokens in numpy because the built in shift function stalls.
835ea55
Pedro Cuenca
commited on