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fix Test

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Goekdeniz-Guelmez 2025-02-04 11:13:07 +01:00
parent 1beefd58a0
commit 43940ec673
1 changed files with 3 additions and 3 deletions
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6
llms/mlx_lm/lora.py
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@ -287,16 +287,16 @@ def evaluate_model(args, model: nn.Module, tokenizer: TokenizerWrapper, test_set
model.eval() model.eval()
if args.training_mode == "orpo": if args.training_mode == "orpo":
test_loss, test_rewards = evaluate_orpo( test_loss, test_rewards, _, _ = evaluate_orpo(
model=model, model=model,
dataset=test_set, dataset=test_set,
tokenizer=tokenizer,
batch_size=args.batch_size, batch_size=args.batch_size,
num_batches=args.test_batches, num_batches=args.test_batches,
max_seq_length=args.max_seq_length, max_seq_length=args.max_seq_length,
beta=args.beta beta=args.beta
) )
print(f"Test loss {test_loss:.3f}, Rewards: {test_rewards[0]:.3f}, {test_rewards[1]:.3f}") test_ppl = math.exp(test_loss)
print(f"Test loss {test_loss:.3f}, Test ppl {test_ppl:.3f}, Rewards: {test_rewards[0]:.3f}, {test_rewards[1]:.3f}")
else: else:
test_loss = evaluate( test_loss = evaluate(
model=model, model=model,