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Goekdeniz-Guelmez 2025-01-22 21:36:56 +01:00
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llms/mlx_lm/lora.py
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@ -306,7 +306,7 @@ def evaluate_model(args, model: nn.Module, tokenizer: TokenizerWrapper, test_set
delta=args.delta, delta=args.delta,
loss_type=args.dpo_loss_type, loss_type=args.dpo_loss_type,
) )
print(f"Test loss {test_loss:.3f}, Rewards: {test_rewards[0]:.3f}, {test_rewards[1]:.3f}") print(f"Test loss {test_loss:.8f}, Rewards: {test_rewards[0]:.8f}, {test_rewards[1]:.8f}")
else: else:
test_loss = evaluate( test_loss = evaluate(
model=model, model=model,