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TF: purge TFTrainer (#28483)

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This commit is contained in:
Joao Gante
2024-01-12 16:56:34 +00:00
committed by GitHub
parent afc45b13ca
commit 4fb3d3a0f6
15 changed files with 233 additions and 1682 deletions
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examples/pytorch/README.md
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@@ -226,7 +226,7 @@ wandb.login()
To enable logging to W&B, include `"wandb"` in the `report_to` of your `TrainingArguments` or script. Or just pass along `--report_to_all` if you have `wandb` installed.
Whenever you use `Trainer` or `TFTrainer` classes, your losses, evaluation metrics, model topology and gradients (for `Trainer` only) will automatically be logged.
Whenever you use the `Trainer` class, your losses, evaluation metrics, model topology and gradients will automatically be logged.
Advanced configuration is possible by setting environment variables:
@@ -282,7 +282,7 @@ To enable Neptune logging, in your `TrainingArguments`, set the `report_to` argu
```python
training_args = TrainingArguments(
"quick-training-distilbert-mrpc",
"quick-training-distilbert-mrpc",
evaluation_strategy="steps",
eval_steps=20,
report_to="neptune",