Comments (2)
Going to break this issue into two:
-
When someone issues a sigterm (via ctrl c), the training process should exit without a messy stock trace. It should be possible to checkpoint the model after a ctrl-c, and resume the model from training after such a checkpoint.
-
The trainer supports eval only (#40) and multiple calls to .fit.
I'll implement part 1 here and do part 2 in separate issues / prs.
from composer.
Closing as this is no longer an issue -- we have test cases that call .fit()
multiple times. See
composer/tests/trainer/test_trainer.py
Line 379 in 6971d0a
from composer.
Related Issues (20)
- Saving checkpoints on network drive fails due to symlinks HOT 1
- Add support for Pytorch 2.2.0 HOT 1
- Update packaging from <23 to <24 HOT 2
- Resuming from a monolithic FSDP checkpoint times out on multinode HOT 9
- Different device error when running evaluation_loop on "mps" device with ComposeClassifier
- The `Profiler` should upload generated traces to the logger. HOT 3
- More compression options using CLI tools
- Set `torch.utils.data.DataLoader.batch_sampler` epoch if defined HOT 2
- Allow smaller `t_max` in schedulers HOT 8
- Crash during import when signal handler cannot be set
- Memory leak due to the copy of Metric objects in Composer's trainer HOT 2
- override serialized fields when resuming from checkpoint HOT 1
- Allow default credentials for accessing GCS HOT 4
- Remote file name in `MemorySnapshot` not being formatted HOT 1
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- Safer Checkpoint File Format HOT 1
- Streaming Dataloader with Multiple Workers causes out-of-memory error
- LookSAM Optimizer HOT 3
- Remove logic that pops labels from batch in composer/models/huggingface.py
- Composer default lr scheduler create spurious warnings when max training duration is in epochs HOT 2
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from composer.