Best model so far - eval_loss: 0.4407 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.4566 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.4571 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.5032 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.6964 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7109 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7188 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7283 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7517 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7742 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.8191 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7098 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7224 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7589 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7637 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.8144 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7754 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.8121 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7554 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7776 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.8201 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.6888 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.6952 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7050 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7149 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7152 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7188 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7328 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7567 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7768 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7780 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.8243 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.6778 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.6815 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.6845 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.6881 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.6974 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7005 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7068 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7101 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7123 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7298 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7251 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7650 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7469 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7734 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.7683 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.8364 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.8111 -------------------------------------------------------- (Trained with Unsloth)

Best model so far - eval_loss: 0.6712 -------------------------------------------------------- (Trained with Unsloth)