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Merged
merged 1 commit into from
Sep 13, 2024
Merged

Apply deprecated evaluation_strategy #1664

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4 changes: 2 additions & 2 deletions docs/source/accelerate/deepspeed.md
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Expand Up @@ -96,7 +96,7 @@ accelerate launch --config_file "configs/deepspeed_config.yaml" train.py \
--logging_steps 5 \
--log_level "info" \
--logging_strategy "steps" \
--evaluation_strategy "epoch" \
--eval_strategy "epoch" \
--save_strategy "epoch" \
--push_to_hub \
--hub_private_repo True \
Expand Down Expand Up @@ -219,7 +219,7 @@ accelerate launch --config_file "configs/deepspeed_config_z3_qlora.yaml" train.
--logging_steps 5 \
--log_level "info" \
--logging_strategy "steps" \
--evaluation_strategy "epoch" \
--eval_strategy "epoch" \
--save_strategy "epoch" \
--push_to_hub \
--hub_private_repo True \
Expand Down
4 changes: 2 additions & 2 deletions docs/source/accelerate/fsdp.md
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Expand Up @@ -74,7 +74,7 @@ accelerate launch --config_file "configs/fsdp_config.yaml" train.py \
--logging_steps 5 \
--log_level "info" \
--logging_strategy "steps" \
--evaluation_strategy "epoch" \
--eval_strategy "epoch" \
--save_strategy "epoch" \
--push_to_hub \
--hub_private_repo True \
Expand Down Expand Up @@ -218,7 +218,7 @@ accelerate launch --config_file "configs/fsdp_config_qlora.yaml" train.py \
--logging_steps 5 \
--log_level "info" \
--logging_strategy "steps" \
--evaluation_strategy "epoch" \
--eval_strategy "epoch" \
--save_strategy "epoch" \
--push_to_hub \
--hub_private_repo True \
Expand Down
2 changes: 1 addition & 1 deletion docs/source/quicktour.md
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Expand Up @@ -76,7 +76,7 @@ training_args = TrainingArguments(
per_device_eval_batch_size=32,
num_train_epochs=2,
weight_decay=0.01,
evaluation_strategy="epoch",
eval_strategy="epoch",
save_strategy="epoch",
load_best_model_at_end=True,
)
Expand Down
2 changes: 1 addition & 1 deletion docs/source/task_guides/lora_based_methods.md
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Expand Up @@ -257,7 +257,7 @@ batch_size = 128
args = TrainingArguments(
peft_model_id,
remove_unused_columns=False,
evaluation_strategy="epoch",
eval_strategy="epoch",
save_strategy="epoch",
learning_rate=5e-3,
per_device_train_batch_size=batch_size,
Expand Down
2 changes: 1 addition & 1 deletion examples/conditional_generation/peft_prompt_tuning_seq2seq_with_generate.ipynb
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Expand Up @@ -558,7 +558,7 @@
" per_device_train_batch_size=batch_size,\n",
" learning_rate=lr,\n",
" num_train_epochs=num_epochs,\n",
" evaluation_strategy=\"epoch\",\n",
" eval_strategy=\"epoch\",\n",
" logging_strategy=\"epoch\",\n",
" save_strategy=\"no\",\n",
" report_to=[],\n",
Expand Down
2 changes: 1 addition & 1 deletion examples/image_classification/image_classification_peft_lora.ipynb
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Expand Up @@ -1008,7 +1008,7 @@
"args = TrainingArguments(\n",
" f\"{model_name}-finetuned-lora-food101\",\n",
" remove_unused_columns=False,\n",
" evaluation_strategy=\"epoch\",\n",
" eval_strategy=\"epoch\",\n",
" save_strategy=\"epoch\",\n",
" learning_rate=5e-3,\n",
" per_device_train_batch_size=batch_size,\n",
Expand Down
2 changes: 1 addition & 1 deletion examples/int8_training/Finetune_flan_t5_large_bnb_peft.ipynb
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Expand Up @@ -819,7 +819,7 @@
"\n",
"training_args = TrainingArguments(\n",
" \"temp\",\n",
" evaluation_strategy=\"epoch\",\n",
" eval_strategy=\"epoch\",\n",
" learning_rate=1e-3,\n",
" gradient_accumulation_steps=1,\n",
" auto_find_batch_size=True,\n",
Expand Down
2 changes: 1 addition & 1 deletion examples/int8_training/peft_bnb_whisper_large_v2_training.ipynb
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Expand Up @@ -1246,7 +1246,7 @@
" learning_rate=1e-3,\n",
" warmup_steps=50,\n",
" num_train_epochs=3,\n",
" evaluation_strategy=\"epoch\",\n",
" eval_strategy=\"epoch\",\n",
" fp16=True,\n",
" per_device_eval_batch_size=8,\n",
" generation_max_length=128,\n",
Expand Down
2 changes: 1 addition & 1 deletion examples/poly/peft_poly_seq2seq_with_generate.ipynb
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Expand Up @@ -973,7 +973,7 @@
" per_device_eval_batch_size=batch_size,\n",
" learning_rate=lr,\n",
" num_train_epochs=num_epochs,\n",
" evaluation_strategy=\"epoch\",\n",
" eval_strategy=\"epoch\",\n",
" logging_strategy=\"epoch\",\n",
" save_strategy=\"no\",\n",
" report_to=[],\n",
Expand Down
2 changes: 1 addition & 1 deletion examples/semantic_segmentation/semantic_segmentation_peft_lora.ipynb
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Expand Up @@ -587,7 +587,7 @@
" per_device_train_batch_size=4,\n",
" per_device_eval_batch_size=2,\n",
" save_total_limit=3,\n",
" evaluation_strategy=\"epoch\",\n",
" eval_strategy=\"epoch\",\n",
" save_strategy=\"epoch\",\n",
" logging_steps=5,\n",
" remove_unused_columns=False,\n",
Expand Down
2 changes: 1 addition & 1 deletion examples/sft/run_peft.sh
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Expand Up @@ -11,7 +11,7 @@ python train.py \
--logging_steps 5 \
--log_level "info" \
--logging_strategy "steps" \
--evaluation_strategy "epoch" \
--eval_strategy "epoch" \
--save_strategy "epoch" \
--push_to_hub \
--hub_private_repo True \
Expand Down
2 changes: 1 addition & 1 deletion examples/sft/run_peft_deepspeed.sh
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Expand Up @@ -11,7 +11,7 @@ accelerate launch --config_file "configs/deepspeed_config.yaml" train.py \
--logging_steps 5 \
--log_level "info" \
--logging_strategy "steps" \
--evaluation_strategy "epoch" \
--eval_strategy "epoch" \
--save_strategy "epoch" \
--push_to_hub \
--hub_private_repo True \
Expand Down
2 changes: 1 addition & 1 deletion examples/sft/run_peft_fsdp.sh
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Expand Up @@ -11,7 +11,7 @@ accelerate launch --config_file "configs/fsdp_config.yaml" train.py \
--logging_steps 5 \
--log_level "info" \
--logging_strategy "steps" \
--evaluation_strategy "epoch" \
--eval_strategy "epoch" \
--save_strategy "epoch" \
--push_to_hub \
--hub_private_repo True \
Expand Down
2 changes: 1 addition & 1 deletion examples/sft/run_peft_multigpu.sh
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Expand Up @@ -11,7 +11,7 @@ torchrun --nproc_per_node 8 --nnodes 1 train.py \
--logging_steps 5 \
--log_level "info" \
--logging_strategy "steps" \
--evaluation_strategy "epoch" \
--eval_strategy "epoch" \
--save_strategy "epoch" \
--push_to_hub \
--hub_private_repo True \
Expand Down
2 changes: 1 addition & 1 deletion examples/sft/run_peft_qlora_deepspeed_stage3.sh
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Expand Up @@ -11,7 +11,7 @@ accelerate launch --config_file "configs/deepspeed_config_z3_qlora.yaml" train.
--logging_steps 5 \
--log_level "info" \
--logging_strategy "steps" \
--evaluation_strategy "epoch" \
--eval_strategy "epoch" \
--save_strategy "epoch" \
--push_to_hub \
--hub_private_repo True \
Expand Down
2 changes: 1 addition & 1 deletion examples/sft/run_peft_qlora_fsdp.sh
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Expand Up @@ -11,7 +11,7 @@ accelerate launch --config_file "configs/fsdp_config_qlora.yaml" train.py \
--logging_steps 5 \
--log_level "info" \
--logging_strategy "steps" \
--evaluation_strategy "epoch" \
--eval_strategy "epoch" \
--save_strategy "epoch" \
--push_to_hub \
--hub_private_repo True \
Expand Down
2 changes: 1 addition & 1 deletion examples/sft/run_unsloth_peft.sh
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Expand Up @@ -11,7 +11,7 @@ python train.py \
--logging_steps 5 \
--log_level "info" \
--logging_strategy "steps" \
--evaluation_strategy "epoch" \
--eval_strategy "epoch" \
--save_strategy "epoch" \
--push_to_hub \
--hub_private_repo True \
Expand Down
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