Best model so far - eval_loss: 0.6829 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.6966 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.6999 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7043 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7262 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7616 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7670 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.8325 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.6694 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.6766 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.6945 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.6982 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.6985 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7150 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7443 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7563 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.8105 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.7914 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.7761 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.9179 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 7.1735 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.9334 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.9958 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 7.0277 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 7.5552 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.7628 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.7710 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.9207 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.9810 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 7.0487 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 7.5888 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.9345 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.9936 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 7.0878 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 7.6503 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.7481 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.7494 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.7853 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.9230 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.9808 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 7.0053 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 7.5588 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.7300 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.7548 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.7583 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.7615 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 9.8748 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.9354 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 6.9400 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 7.0003 -------------------------------------------------------- (Trained with Unsloth)