| {"Step":50,"eval_loss":0.9260319471,"eval_runtime":60.9012,"eval_samples_per_second":1.642,"eval_steps_per_second":0.213,"epoch":0.0967117988} | |
| {"Step":100,"eval_loss":0.8202204108,"eval_runtime":56.5241,"eval_samples_per_second":1.769,"eval_steps_per_second":0.23,"epoch":0.1934235977} | |
| {"Step":150,"eval_loss":0.789476037,"eval_runtime":56.6018,"eval_samples_per_second":1.767,"eval_steps_per_second":0.23,"epoch":0.2901353965} | |
| {"Step":200,"eval_loss":0.7783958316,"eval_runtime":56.5799,"eval_samples_per_second":1.767,"eval_steps_per_second":0.23,"epoch":0.3868471954} | |
| {"Step":250,"eval_loss":0.7721498013,"eval_runtime":57.9466,"eval_samples_per_second":1.726,"eval_steps_per_second":0.224,"epoch":0.4835589942} | |