Is there a parameter that I can set in the config file (maybe for the trainer?) that would save the model (archive) after each epoch or after a specific number of steps? I'm using seq2seq dataloader and "composed_seq2seq" as my model. This is how my trainer looks like currently:
"trainer": {
"num_epochs": 50,
"cuda_device": 0,
"optimizer": {
"type": "adamw",
"lr": 0.0005
}
Can you explain a little more about what you're trying to do with a model from every epoch/some number of steps? I think it already archives the model every time it gets a new best score, so I'm wondering what you want to do that can't be accomplished with that.
Edit:
It looks like AllenNLP already saves a model every epoch, but it only keeps a maximum of 2 by default. I believe you can change that by adding a checkpointer
to your training config, e.g.:
"trainer": {
"checkpointer": {
"num_serialized_models_to_keep": num_epochs
},
}