| {"current_steps": 10, "total_steps": 1500, "loss": 0.9315, "accuracy": 0.574999988079071, "learning_rate": 4.999451708687114e-06, "epoch": 0.008880994671403197, "percentage": 0.67, "elapsed_time": "0:01:23", "remaining_time": "3:26:19", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 20, "total_steps": 1500, "loss": 0.9318, "accuracy": 0.5249999761581421, "learning_rate": 4.997807075247147e-06, "epoch": 0.017761989342806393, "percentage": 1.33, "elapsed_time": "0:02:40", "remaining_time": "3:18:28", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 30, "total_steps": 1500, "loss": 0.9211, "accuracy": 0.6625000238418579, "learning_rate": 4.9950668210706795e-06, "epoch": 0.02664298401420959, "percentage": 2.0, "elapsed_time": "0:03:59", "remaining_time": "3:15:25", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 40, "total_steps": 1500, "loss": 0.941, "accuracy": 0.5375000238418579, "learning_rate": 4.9912321481237616e-06, "epoch": 0.035523978685612786, "percentage": 2.67, "elapsed_time": "0:05:15", "remaining_time": "3:11:41", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 50, "total_steps": 1500, "loss": 0.929, "accuracy": 0.44999998807907104, "learning_rate": 4.986304738420684e-06, "epoch": 0.04440497335701599, "percentage": 3.33, "elapsed_time": "0:06:32", "remaining_time": "3:09:51", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 50, "total_steps": 1500, "eval_loss": 0.9458721876144409, "epoch": 0.04440497335701599, "percentage": 3.33, "elapsed_time": "0:07:00", "remaining_time": "3:23:16", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 60, "total_steps": 1500, "loss": 0.9335, "accuracy": 0.5, "learning_rate": 4.980286753286196e-06, "epoch": 0.05328596802841918, "percentage": 4.0, "elapsed_time": "0:08:28", "remaining_time": "3:23:30", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 70, "total_steps": 1500, "loss": 0.9234, "accuracy": 0.6499999761581421, "learning_rate": 4.973180832407471e-06, "epoch": 0.06216696269982238, "percentage": 4.67, "elapsed_time": "0:09:46", "remaining_time": "3:19:45", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 80, "total_steps": 1500, "loss": 0.9317, "accuracy": 0.550000011920929, "learning_rate": 4.964990092676263e-06, "epoch": 0.07104795737122557, "percentage": 5.33, "elapsed_time": "0:11:06", "remaining_time": "3:17:03", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 90, "total_steps": 1500, "loss": 0.9276, "accuracy": 0.5625, "learning_rate": 4.9557181268217225e-06, "epoch": 0.07992895204262877, "percentage": 6.0, "elapsed_time": "0:12:23", "remaining_time": "3:14:11", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 100, "total_steps": 1500, "loss": 0.9448, "accuracy": 0.5249999761581421, "learning_rate": 4.9453690018345144e-06, "epoch": 0.08880994671403197, "percentage": 6.67, "elapsed_time": "0:13:44", "remaining_time": "3:12:26", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 100, "total_steps": 1500, "eval_loss": 0.9382757544517517, "epoch": 0.08880994671403197, "percentage": 6.67, "elapsed_time": "0:14:11", "remaining_time": "3:18:43", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 110, "total_steps": 1500, "loss": 0.9307, "accuracy": 0.5874999761581421, "learning_rate": 4.933947257182901e-06, "epoch": 0.09769094138543517, "percentage": 7.33, "elapsed_time": "0:15:33", "remaining_time": "3:16:39", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 120, "total_steps": 1500, "loss": 0.9046, "accuracy": 0.574999988079071, "learning_rate": 4.921457902821578e-06, "epoch": 0.10657193605683836, "percentage": 8.0, "elapsed_time": "0:16:52", "remaining_time": "3:14:09", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 130, "total_steps": 1500, "loss": 0.9151, "accuracy": 0.6000000238418579, "learning_rate": 4.907906416994146e-06, "epoch": 0.11545293072824156, "percentage": 8.67, "elapsed_time": "0:18:11", "remaining_time": "3:11:38", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 140, "total_steps": 1500, "loss": 0.9053, "accuracy": 0.6000000238418579, "learning_rate": 4.893298743830168e-06, "epoch": 0.12433392539964476, "percentage": 9.33, "elapsed_time": "0:19:26", "remaining_time": "3:08:53", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 150, "total_steps": 1500, "loss": 0.9097, "accuracy": 0.5375000238418579, "learning_rate": 4.8776412907378845e-06, "epoch": 0.13321492007104796, "percentage": 10.0, "elapsed_time": "0:20:41", "remaining_time": "3:06:15", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 150, "total_steps": 1500, "eval_loss": 0.9194123148918152, "epoch": 0.13321492007104796, "percentage": 10.0, "elapsed_time": "0:21:08", "remaining_time": "3:10:17", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 160, "total_steps": 1500, "loss": 0.8929, "accuracy": 0.6000000238418579, "learning_rate": 4.860940925593703e-06, "epoch": 0.14209591474245115, "percentage": 10.67, "elapsed_time": "0:22:35", "remaining_time": "3:09:09", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 170, "total_steps": 1500, "loss": 0.895, "accuracy": 0.625, "learning_rate": 4.84320497372973e-06, "epoch": 0.15097690941385436, "percentage": 11.33, "elapsed_time": "0:23:53", "remaining_time": "3:06:53", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 180, "total_steps": 1500, "loss": 0.8801, "accuracy": 0.5625, "learning_rate": 4.824441214720629e-06, "epoch": 0.15985790408525755, "percentage": 12.0, "elapsed_time": "0:25:08", "remaining_time": "3:04:22", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 190, "total_steps": 1500, "loss": 0.8776, "accuracy": 0.6499999761581421, "learning_rate": 4.804657878971252e-06, "epoch": 0.16873889875666073, "percentage": 12.67, "elapsed_time": "0:26:22", "remaining_time": "3:01:53", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 200, "total_steps": 1500, "loss": 0.8596, "accuracy": 0.5874999761581421, "learning_rate": 4.783863644106502e-06, "epoch": 0.17761989342806395, "percentage": 13.33, "elapsed_time": "0:27:39", "remaining_time": "2:59:49", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 200, "total_steps": 1500, "eval_loss": 0.8602121472358704, "epoch": 0.17761989342806395, "percentage": 13.33, "elapsed_time": "0:28:06", "remaining_time": "3:02:44", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 210, "total_steps": 1500, "loss": 0.8553, "accuracy": 0.625, "learning_rate": 4.762067631165049e-06, "epoch": 0.18650088809946713, "percentage": 14.0, "elapsed_time": "0:29:28", "remaining_time": "3:01:01", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 220, "total_steps": 1500, "loss": 0.8204, "accuracy": 0.574999988079071, "learning_rate": 4.7392794005985324e-06, "epoch": 0.19538188277087035, "percentage": 14.67, "elapsed_time": "0:30:46", "remaining_time": "2:59:05", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 230, "total_steps": 1500, "loss": 0.7884, "accuracy": 0.612500011920929, "learning_rate": 4.715508948078037e-06, "epoch": 0.20426287744227353, "percentage": 15.33, "elapsed_time": "0:32:01", "remaining_time": "2:56:50", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 240, "total_steps": 1500, "loss": 0.7919, "accuracy": 0.612500011920929, "learning_rate": 4.690766700109659e-06, "epoch": 0.21314387211367672, "percentage": 16.0, "elapsed_time": "0:33:17", "remaining_time": "2:54:46", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 250, "total_steps": 1500, "loss": 0.7456, "accuracy": 0.675000011920929, "learning_rate": 4.665063509461098e-06, "epoch": 0.22202486678507993, "percentage": 16.67, "elapsed_time": "0:34:33", "remaining_time": "2:52:46", "throughput": "0.00", "total_tokens": 0} | |
| {"current_steps": 250, "total_steps": 1500, "eval_loss": 0.7499477863311768, "epoch": 0.22202486678507993, "percentage": 16.67, "elapsed_time": "0:35:00", "remaining_time": "2:55:01", "throughput": "0.00", "total_tokens": 0} | |