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Update no trainer scripts for language modeling and image classification examples (#18443)

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* Update no_trainer script for image-classification

* Update no_trainer scripts for language-modeling examples

* Remove unused variable

* Removing truncation from losses array for language modeling examples
This commit is contained in:
Ritik Nandwal
2022-08-03 18:03:18 +05:30
committed by GitHub
parent 10e1ec9a8c
commit 3db4378bd7
3 changed files with 3 additions and 13 deletions
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3
examples/pytorch/language-modeling/run_clm_no_trainer.py
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@@ -597,10 +597,9 @@ def main():
outputs = model(**batch)
loss = outputs.loss
losses.append(accelerator.gather(loss.repeat(args.per_device_eval_batch_size)))
losses.append(accelerator.gather_for_metrics(loss.repeat(args.per_device_eval_batch_size)))
losses = torch.cat(losses)
losses = losses[: len(eval_dataset)]
try:
eval_loss = torch.mean(losses)
perplexity = math.exp(eval_loss)

3
examples/pytorch/language-modeling/run_mlm_no_trainer.py
View File

@@ -642,10 +642,9 @@ def main():
outputs = model(**batch)
loss = outputs.loss
losses.append(accelerator.gather(loss.repeat(args.per_device_eval_batch_size)))
losses.append(accelerator.gather_for_metrics(loss.repeat(args.per_device_eval_batch_size)))
losses = torch.cat(losses)
losses = losses[: len(eval_dataset)]
try:
eval_loss = torch.mean(losses)
perplexity = math.exp(eval_loss)