I am training a model and am hoping to get the log of the per-evaluation-step performance while training. I currently set --evaluation_strategy steps and I could see logs got printed. However, is there a way I could get the table as an object (json or pd.DataFrame) in Python?
|Step|Training Loss|Validation Loss|Rouge1|Rouge2|Rougel|Rougelsum|Gen Len|Runtime|Samples Per Second|
|---|---|---|---|---|---|---|---|---|---|
|100|No log|2.458449|39.987500|16.891800|37.788500|37.794300|10.292600|26.358400|44.730000|
|200|No log|2.128455|49.043000|24.468600|47.341900|47.270600|10.463100|26.245500|44.922000|
|300|No log|1.980806|51.324400|25.405300|49.549300|49.507100|10.305300|25.733800|45.815000|
|400|No log|1.892222|53.523700|27.361200|51.650900|51.613200|10.371500|25.708300|45.861000|
|500|0.997900|1.840045|54.044500|27.843400|52.146600|52.125500|10.392700|25.551800|46.142000|
|600|0.997900|1.810891|54.251600|28.728500|52.545900|52.492900|10.435100|26.443400|44.586000|
|700|0.997900|1.799217|54.409300|28.685000|52.649800|52.611400|10.400300|26.362800|44.722000|