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Change variable names (#1286)

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Branden Chan 2021-07-14 14:03:34 +02:00 committed by GitHub
parent 7717e81ecc
commit da97d81305
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4 changed files with 8 additions and 8 deletions
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6
tutorials/Tutorial2_Finetune_a_model_on_your_data.ipynb
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@ -128,9 +128,9 @@
],
"source": [
"reader = FARMReader(model_name_or_path=\"distilbert-base-uncased-distilled-squad\", use_gpu=True)\n",
"train_data = \"data/squad20\"\n",
"# train_data = \"PATH/TO_YOUR/TRAIN_DATA\" \n",
"reader.train(data_dir=train_data, train_filename=\"dev-v2.0.json\", use_gpu=True, n_epochs=1, save_dir=\"my_model\")"
"data_dir = \"data/squad20\"\n",
"# data_dir = \"PATH/TO_YOUR/TRAIN_DATA\" \n",
"reader.train(data_dir=data_dir, train_filename=\"dev-v2.0.json\", use_gpu=True, n_epochs=1, save_dir=\"my_model\")"
]
},
{

6
tutorials/Tutorial2_Finetune_a_model_on_your_data.py
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@ -36,9 +36,9 @@ def tutorial2_finetune_a_model_on_your_data():
#**Recommendation: Run training on a GPU. To do so change the `use_gpu` arguments below to `True`
reader = FARMReader(model_name_or_path="distilbert-base-uncased-distilled-squad", use_gpu=True)
train_data = "data/squad20"
# train_data = "PATH/TO_YOUR/TRAIN_DATA"
reader.train(data_dir=train_data, train_filename="dev-v2.0.json", use_gpu=True, n_epochs=1, save_dir="my_model")
data_dir = "data/squad20"
# data_dir = "PATH/TO_YOUR/TRAIN_DATA"
reader.train(data_dir=data_dir, train_filename="dev-v2.0.json", use_gpu=True, n_epochs=1, save_dir="my_model")
# Saving the model happens automatically at the end of training into the `save_dir` you specified
# However, you could also save a reader manually again via:

2
tutorials/Tutorial5_Evaluation.ipynb
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@ -346,7 +346,7 @@
"# Initialize Reader\n",
"from haystack.reader.farm import FARMReader\n",
"\n",
"reader = FARMReader(\"deepset/roberta-base-squad2\", top_k_per_candidate=4, return_no_answer=True)\n"
"reader = FARMReader(\"deepset/roberta-base-squad2\", top_k=4, return_no_answer=True)\n"
]
},
{

2
tutorials/Tutorial5_Evaluation.py
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@ -93,7 +93,7 @@ def tutorial5_evaluation():
# Initialize Reader
reader = FARMReader(
model_name_or_path="deepset/roberta-base-squad2",
top_k_per_candidate=4,
top_k=4,
return_no_answer=True
)