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Update VisionClassifierTrainer #48

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Update VisionClassifierTrainer #48

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14 changes: 7 additions & 7 deletions hugsvision/nnet/VisionClassifierTrainer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -34,7 +34,7 @@ def __init__(
cores = 4,
batch_size = 8,
lr = 2e-5,
eval_metric = "accuracy",
eval_metric = "loss",
fp16 = False,
classification_report_digits = 4,
checkpoint_path = None,
Expand Down Expand Up @@ -62,14 +62,14 @@ def __init__(

# Processing device (CPU / GPU)
self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")

# Get the classifier collator
self.collator = ImageClassificationCollator(self.feature_extractor)

# Get the model output path
self.output_path = self.__getOutputPath()
self.logs_path = self.output_path

# Open the logs file
self.__openLogs()

Expand All @@ -87,12 +87,12 @@ def __init__(
num_train_epochs = self.max_epochs,
metric_for_best_model = self.eval_metric,
logging_dir = self.logs_path,
evaluation_strategy = "epoch",
eval_strategy = "epoch",
load_best_model_at_end = False,
overwrite_output_dir = True,
fp16=self.fp16,
)

self.trainer = Trainer(
self.model,
self.training_args,
Expand Down Expand Up @@ -122,7 +122,7 @@ def __init__(
"""
📜 Open the logs file
"""
def __openLogs(self):
def __openLogs(self):

# Open the logs file
self.logs_file = open(self.logs_path + "/logs.txt", "a")
Expand Down Expand Up @@ -174,7 +174,7 @@ def evaluate_f1_score(self):
🧪 Evaluate the performances of the system of the test sub-dataset
"""
def evaluate(self):

all_preds = []
all_target = []

Expand Down