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Update all references to canonical models (#29001)

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* Script & Manual edition

* Update
This commit is contained in:
Lysandre Debut
2024-02-16 08:16:58 +01:00
committed by GitHub
parent 1e402b957d
commit f497f564bb
561 changed files with 2682 additions and 2687 deletions
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6
examples/pytorch/multiple-choice/README.md
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@@ -22,7 +22,7 @@ limitations under the License.
```bash
python examples/multiple-choice/run_swag.py \
--model_name_or_path roberta-base \
--model_name_or_path FacebookAI/roberta-base \
--do_train \
--do_eval \
--learning_rate 5e-5 \
@@ -62,7 +62,7 @@ then
export DATASET_NAME=swag
python run_swag_no_trainer.py \
--model_name_or_path bert-base-cased \
--model_name_or_path google-bert/bert-base-cased \
--dataset_name $DATASET_NAME \
--max_seq_length 128 \
--per_device_train_batch_size 32 \
@@ -89,7 +89,7 @@ that will check everything is ready for training. Finally, you can launch traini
export DATASET_NAME=swag
accelerate launch run_swag_no_trainer.py \
--model_name_or_path bert-base-cased \
--model_name_or_path google-bert/bert-base-cased \
--dataset_name $DATASET_NAME \
--max_seq_length 128 \
--per_device_train_batch_size 32 \