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Update TF fine-tuning docs (#18654)

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* Update TF fine-tuning docs

* Fix formatting

* Add some section headers so the right sidebar works better

* Squiggly it

* Update docs/source/en/training.mdx

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/training.mdx

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/training.mdx

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/training.mdx

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/training.mdx

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/training.mdx

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/training.mdx

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/training.mdx

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/training.mdx

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/training.mdx

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/training.mdx

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/training.mdx

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/training.mdx

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Explain things in the text, not the comments

* Make the two dataset creation methods into a list

* Move the advice about collation out of a <Tip>

* Edits for clarity

* Edits for clarity

* Edits for clarity

* Replace `to_tf_dataset` with `prepare_tf_dataset` in the fine-tuning pages

* Restructure the page a little bit

* Restructure the page a little bit

* Restructure the page a little bit

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
This commit is contained in:
Matt
2022-09-07 13:30:07 +01:00
committed by GitHub
parent d842f2d5b9
commit 2b9513fdab
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docs/source/en/tasks/language_modeling.mdx
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@@ -245,20 +245,18 @@ At this point, only three steps remain:
```
</pt>
<tf>
To fine-tune a model in TensorFlow, start by converting your datasets to the `tf.data.Dataset` format with [`~datasets.Dataset.to_tf_dataset`]. Specify inputs and labels in `columns`, whether to shuffle the dataset order, batch size, and the data collator:
To fine-tune a model in TensorFlow, start by converting your datasets to the `tf.data.Dataset` format with [`~TFPreTrainedModel.prepare_tf_dataset`].
```py
>>> tf_train_set = lm_dataset["train"].to_tf_dataset(
... columns=["attention_mask", "input_ids", "labels"],
... dummy_labels=True,
>>> tf_train_set = model.prepare_tf_dataset(
... lm_dataset["train"],
... shuffle=True,
... batch_size=16,
... collate_fn=data_collator,
... )
>>> tf_test_set = lm_dataset["test"].to_tf_dataset(
... columns=["attention_mask", "input_ids", "labels"],
... dummy_labels=True,
>>> tf_test_set = model.prepare_tf_dataset(
... lm_dataset["test"],
... shuffle=False,
... batch_size=16,
... collate_fn=data_collator,
@@ -352,20 +350,18 @@ At this point, only three steps remain:
```
</pt>
<tf>
To fine-tune a model in TensorFlow, start by converting your datasets to the `tf.data.Dataset` format with [`~datasets.Dataset.to_tf_dataset`]. Specify inputs and labels in `columns`, whether to shuffle the dataset order, batch size, and the data collator:
To fine-tune a model in TensorFlow, start by converting your datasets to the `tf.data.Dataset` format with [`~TFPreTrainedModel.prepare_tf_dataset`].
```py
>>> tf_train_set = lm_dataset["train"].to_tf_dataset(
... columns=["attention_mask", "input_ids", "labels"],
... dummy_labels=True,
>>> tf_train_set = model.prepare_tf_dataset(
... lm_dataset["train"],
... shuffle=True,
... batch_size=16,
... collate_fn=data_collator,
... )
>>> tf_test_set = lm_dataset["test"].to_tf_dataset(
... columns=["attention_mask", "input_ids", "labels"],
... dummy_labels=True,
>>> tf_test_set = model.prepare_tf_dataset(
... lm_dataset["test"],
... shuffle=False,
... batch_size=16,
... collate_fn=data_collator,