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minor readability improvements (#668)

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casinca 2025-06-20 01:56:49 +02:00 committed by GitHub
parent 15fa6a84f6
commit 00b8c0a107
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1 changed files with 5 additions and 8 deletions
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ch06/02_bonus_additional-experiments/additional_experiments.py
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@ -271,12 +271,11 @@ def calc_accuracy_loader(data_loader, model, device, num_batches=None,
mask = input_batch != pad_token_id mask = input_batch != pad_token_id
last_token_pos = mask.sum(dim=1) - 1 # Get position of last real token last_token_pos = mask.sum(dim=1) - 1 # Get position of last real token
with torch.no_grad(): logits = model(input_batch) # Logits of last output token
logits = model(input_batch) # Logits of last output token # Select the logits corresponding to the last real token of each sequence
# Select the logits corresponding to the last real token of each sequence batch_size = logits.size(0)
batch_size = logits.size(0) selected_logits = logits[torch.arange(batch_size), last_token_pos]
selected_logits = logits[torch.arange(batch_size), last_token_pos] predicted_labels = torch.argmax(selected_logits, dim=-1)
predicted_labels = torch.argmax(selected_logits, dim=-1)
num_examples += predicted_labels.shape[0] num_examples += predicted_labels.shape[0]
correct_predictions += (predicted_labels == target_batch).sum().item() correct_predictions += (predicted_labels == target_batch).sum().item()
@ -643,8 +642,6 @@ if __name__ == "__main__":
val_dataset = SpamDataset(base_path / "validation.csv", max_length=max_length, tokenizer=tokenizer, no_padding=args.no_padding) val_dataset = SpamDataset(base_path / "validation.csv", max_length=max_length, tokenizer=tokenizer, no_padding=args.no_padding)
test_dataset = SpamDataset(base_path / "test.csv", max_length=max_length, tokenizer=tokenizer, no_padding=args.no_padding) test_dataset = SpamDataset(base_path / "test.csv", max_length=max_length, tokenizer=tokenizer, no_padding=args.no_padding)
tokenizer = tiktoken.get_encoding("gpt2")
num_workers = 0 num_workers = 0
train_loader = DataLoader( train_loader = DataLoader(