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+ ---
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+ base_model: anthracite-org/magnum-v2-4b
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+ library_name: peft
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+ license: other
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+ tags:
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+ - llama-factory
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+ - lora
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+ - generated_from_trainer
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+ model-index:
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+ - name: magnum-4b-KTO-test
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # magnum-4b-KTO-test
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+
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+ This model is a fine-tuned version of [anthracite-org/magnum-v2-4b](https://huggingface.co/anthracite-org/magnum-v2-4b) on the combined_new_22k.json dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5030
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+ - Rewards/chosen: 0.0007
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+ - Logps/chosen: -11.2857
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+ - Rewards/rejected: -0.0006
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+ - Logps/rejected: -10.6547
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+ - Rewards/margins: 0.0013
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+ - Kl: 0.0009
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-06
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - gradient_accumulation_steps: 48
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+ - total_train_batch_size: 768
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+ - total_eval_batch_size: 16
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.01
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+ - num_epochs: 2.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Logps/chosen | Rewards/rejected | Logps/rejected | Rewards/margins | Kl |
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+ |:-------------:|:------:|:----:|:---------------:|:--------------:|:------------:|:----------------:|:--------------:|:---------------:|:------:|
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+ | 0.5042 | 0.2788 | 16 | 0.5038 | 0.0004 | -11.2884 | -0.0004 | -10.6529 | 0.0008 | 0.0022 |
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+ | 0.5037 | 0.5575 | 32 | 0.5033 | 0.0006 | -11.2865 | -0.0008 | -10.6565 | 0.0014 | 0.0013 |
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+ | 0.5035 | 0.8363 | 48 | 0.5041 | 0.0003 | -11.2899 | -0.0006 | -10.6546 | 0.0008 | 0.0016 |
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+ | 0.5037 | 1.1151 | 64 | 0.5035 | 0.0005 | -11.2872 | -0.0005 | -10.6540 | 0.0011 | 0.0017 |
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+ | 0.5036 | 1.3938 | 80 | 0.5036 | 0.0005 | -11.2874 | -0.0005 | -10.6535 | 0.0010 | 0.0010 |
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+ | 0.5032 | 1.6726 | 96 | 0.5035 | 0.0006 | -11.2867 | -0.0005 | -10.6541 | 0.0011 | 0.0012 |
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+ | 0.5036 | 1.9514 | 112 | 0.5037 | 0.0006 | -11.2869 | -0.0006 | -10.6546 | 0.0011 | 0.0009 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.12.0
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+ - Transformers 4.45.0.dev0
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+ - Pytorch 2.2.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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6
+ {"current_steps": 6, "total_steps": 114, "loss": 0.5036, "learning_rate": 4.821428571428572e-06, "epoch": 0.10453720508166969, "percentage": 5.26, "elapsed_time": "0:17:17", "remaining_time": "5:11:23", "throughput": "0.00", "total_tokens": 0}
7
+ {"current_steps": 7, "total_steps": 114, "loss": 0.5047, "learning_rate": 4.776785714285715e-06, "epoch": 0.12196007259528131, "percentage": 6.14, "elapsed_time": "0:20:02", "remaining_time": "5:06:19", "throughput": "0.00", "total_tokens": 0}
8
+ {"current_steps": 8, "total_steps": 114, "loss": 0.5049, "learning_rate": 4.732142857142857e-06, "epoch": 0.13938294010889293, "percentage": 7.02, "elapsed_time": "0:22:48", "remaining_time": "5:02:18", "throughput": "0.00", "total_tokens": 0}
9
+ {"current_steps": 9, "total_steps": 114, "loss": 0.5047, "learning_rate": 4.6875000000000004e-06, "epoch": 0.15680580762250454, "percentage": 7.89, "elapsed_time": "0:25:41", "remaining_time": "4:59:45", "throughput": "0.00", "total_tokens": 0}
10
+ {"current_steps": 10, "total_steps": 114, "loss": 0.5047, "learning_rate": 4.642857142857144e-06, "epoch": 0.17422867513611615, "percentage": 8.77, "elapsed_time": "0:28:19", "remaining_time": "4:54:32", "throughput": "0.00", "total_tokens": 0}
11
+ {"current_steps": 11, "total_steps": 114, "loss": 0.5044, "learning_rate": 4.5982142857142854e-06, "epoch": 0.19165154264972778, "percentage": 9.65, "elapsed_time": "0:31:04", "remaining_time": "4:51:00", "throughput": "0.00", "total_tokens": 0}
12
+ {"current_steps": 12, "total_steps": 114, "loss": 0.5045, "learning_rate": 4.553571428571429e-06, "epoch": 0.20907441016333939, "percentage": 10.53, "elapsed_time": "0:33:42", "remaining_time": "4:46:33", "throughput": "0.00", "total_tokens": 0}
13
+ {"current_steps": 13, "total_steps": 114, "loss": 0.5041, "learning_rate": 4.508928571428572e-06, "epoch": 0.226497277676951, "percentage": 11.4, "elapsed_time": "0:36:38", "remaining_time": "4:44:39", "throughput": "0.00", "total_tokens": 0}
14
+ {"current_steps": 14, "total_steps": 114, "loss": 0.5055, "learning_rate": 4.464285714285715e-06, "epoch": 0.24392014519056263, "percentage": 12.28, "elapsed_time": "0:39:09", "remaining_time": "4:39:45", "throughput": "0.00", "total_tokens": 0}
15
+ {"current_steps": 15, "total_steps": 114, "loss": 0.5043, "learning_rate": 4.419642857142857e-06, "epoch": 0.2613430127041742, "percentage": 13.16, "elapsed_time": "0:42:04", "remaining_time": "4:37:43", "throughput": "0.00", "total_tokens": 0}
16
+ {"current_steps": 16, "total_steps": 114, "loss": 0.5042, "learning_rate": 4.3750000000000005e-06, "epoch": 0.27876588021778587, "percentage": 14.04, "elapsed_time": "0:44:50", "remaining_time": "4:34:40", "throughput": "0.00", "total_tokens": 0}
17
+ {"current_steps": 16, "total_steps": 114, "eval_loss": 0.5038086175918579, "epoch": 0.27876588021778587, "percentage": 14.04, "elapsed_time": "0:45:32", "remaining_time": "4:38:56", "throughput": "0.00", "total_tokens": 0}
18
+ {"current_steps": 17, "total_steps": 114, "loss": 0.5046, "learning_rate": 4.330357142857143e-06, "epoch": 0.2961887477313975, "percentage": 14.91, "elapsed_time": "0:48:15", "remaining_time": "4:35:18", "throughput": "0.00", "total_tokens": 0}
19
+ {"current_steps": 18, "total_steps": 114, "loss": 0.5048, "learning_rate": 4.2857142857142855e-06, "epoch": 0.3136116152450091, "percentage": 15.79, "elapsed_time": "0:51:01", "remaining_time": "4:32:10", "throughput": "0.00", "total_tokens": 0}
20
+ {"current_steps": 19, "total_steps": 114, "loss": 0.504, "learning_rate": 4.241071428571429e-06, "epoch": 0.3310344827586207, "percentage": 16.67, "elapsed_time": "0:54:11", "remaining_time": "4:30:56", "throughput": "0.00", "total_tokens": 0}
21
+ {"current_steps": 20, "total_steps": 114, "loss": 0.504, "learning_rate": 4.196428571428572e-06, "epoch": 0.3484573502722323, "percentage": 17.54, "elapsed_time": "0:57:04", "remaining_time": "4:28:13", "throughput": "0.00", "total_tokens": 0}
22
+ {"current_steps": 21, "total_steps": 114, "loss": 0.504, "learning_rate": 4.151785714285715e-06, "epoch": 0.3658802177858439, "percentage": 18.42, "elapsed_time": "1:00:14", "remaining_time": "4:26:47", "throughput": "0.00", "total_tokens": 0}
23
+ {"current_steps": 22, "total_steps": 114, "loss": 0.5042, "learning_rate": 4.107142857142857e-06, "epoch": 0.38330308529945556, "percentage": 19.3, "elapsed_time": "1:03:07", "remaining_time": "4:23:58", "throughput": "0.00", "total_tokens": 0}
24
+ {"current_steps": 23, "total_steps": 114, "loss": 0.5039, "learning_rate": 4.0625000000000005e-06, "epoch": 0.40072595281306717, "percentage": 20.18, "elapsed_time": "1:05:59", "remaining_time": "4:21:04", "throughput": "0.00", "total_tokens": 0}
25
+ {"current_steps": 24, "total_steps": 114, "loss": 0.5035, "learning_rate": 4.017857142857143e-06, "epoch": 0.41814882032667877, "percentage": 21.05, "elapsed_time": "1:09:22", "remaining_time": "4:20:10", "throughput": "0.00", "total_tokens": 0}
26
+ {"current_steps": 25, "total_steps": 114, "loss": 0.5033, "learning_rate": 3.9732142857142855e-06, "epoch": 0.4355716878402904, "percentage": 21.93, "elapsed_time": "1:12:00", "remaining_time": "4:16:20", "throughput": "0.00", "total_tokens": 0}
27
+ {"current_steps": 26, "total_steps": 114, "loss": 0.5044, "learning_rate": 3.928571428571429e-06, "epoch": 0.452994555353902, "percentage": 22.81, "elapsed_time": "1:14:41", "remaining_time": "4:12:48", "throughput": "0.00", "total_tokens": 0}
28
+ {"current_steps": 27, "total_steps": 114, "loss": 0.5038, "learning_rate": 3.883928571428572e-06, "epoch": 0.4704174228675136, "percentage": 23.68, "elapsed_time": "1:17:39", "remaining_time": "4:10:14", "throughput": "0.00", "total_tokens": 0}
29
+ {"current_steps": 28, "total_steps": 114, "loss": 0.505, "learning_rate": 3.839285714285715e-06, "epoch": 0.48784029038112525, "percentage": 24.56, "elapsed_time": "1:20:57", "remaining_time": "4:08:40", "throughput": "0.00", "total_tokens": 0}
30
+ {"current_steps": 29, "total_steps": 114, "loss": 0.5035, "learning_rate": 3.794642857142857e-06, "epoch": 0.5052631578947369, "percentage": 25.44, "elapsed_time": "1:23:49", "remaining_time": "4:05:42", "throughput": "0.00", "total_tokens": 0}
31
+ {"current_steps": 30, "total_steps": 114, "loss": 0.5048, "learning_rate": 3.7500000000000005e-06, "epoch": 0.5226860254083484, "percentage": 26.32, "elapsed_time": "1:26:50", "remaining_time": "4:03:08", "throughput": "0.00", "total_tokens": 0}
32
+ {"current_steps": 31, "total_steps": 114, "loss": 0.504, "learning_rate": 3.7053571428571434e-06, "epoch": 0.5401088929219601, "percentage": 27.19, "elapsed_time": "1:29:53", "remaining_time": "4:00:41", "throughput": "0.00", "total_tokens": 0}
33
+ {"current_steps": 32, "total_steps": 114, "loss": 0.5037, "learning_rate": 3.660714285714286e-06, "epoch": 0.5575317604355717, "percentage": 28.07, "elapsed_time": "1:33:04", "remaining_time": "3:58:29", "throughput": "0.00", "total_tokens": 0}
34
+ {"current_steps": 32, "total_steps": 114, "eval_loss": 0.5032945275306702, "epoch": 0.5575317604355717, "percentage": 28.07, "elapsed_time": "1:33:45", "remaining_time": "4:00:16", "throughput": "0.00", "total_tokens": 0}
35
+ {"current_steps": 33, "total_steps": 114, "loss": 0.5043, "learning_rate": 3.616071428571429e-06, "epoch": 0.5749546279491833, "percentage": 28.95, "elapsed_time": "1:36:09", "remaining_time": "3:56:00", "throughput": "0.00", "total_tokens": 0}
36
+ {"current_steps": 34, "total_steps": 114, "loss": 0.5032, "learning_rate": 3.5714285714285718e-06, "epoch": 0.592377495462795, "percentage": 29.82, "elapsed_time": "1:38:36", "remaining_time": "3:52:01", "throughput": "0.00", "total_tokens": 0}
37
+ {"current_steps": 35, "total_steps": 114, "loss": 0.5041, "learning_rate": 3.5267857142857147e-06, "epoch": 0.6098003629764065, "percentage": 30.7, "elapsed_time": "1:41:21", "remaining_time": "3:48:46", "throughput": "0.00", "total_tokens": 0}
38
+ {"current_steps": 36, "total_steps": 114, "loss": 0.5036, "learning_rate": 3.482142857142857e-06, "epoch": 0.6272232304900182, "percentage": 31.58, "elapsed_time": "1:44:04", "remaining_time": "3:45:29", "throughput": "0.00", "total_tokens": 0}
39
+ {"current_steps": 37, "total_steps": 114, "loss": 0.503, "learning_rate": 3.4375e-06, "epoch": 0.6446460980036298, "percentage": 32.46, "elapsed_time": "1:47:04", "remaining_time": "3:42:50", "throughput": "0.00", "total_tokens": 0}
40
+ {"current_steps": 38, "total_steps": 114, "loss": 0.5041, "learning_rate": 3.3928571428571435e-06, "epoch": 0.6620689655172414, "percentage": 33.33, "elapsed_time": "1:50:04", "remaining_time": "3:40:09", "throughput": "0.00", "total_tokens": 0}
41
+ {"current_steps": 39, "total_steps": 114, "loss": 0.5041, "learning_rate": 3.3482142857142855e-06, "epoch": 0.679491833030853, "percentage": 34.21, "elapsed_time": "1:52:52", "remaining_time": "3:37:04", "throughput": "0.00", "total_tokens": 0}
42
+ {"current_steps": 40, "total_steps": 114, "loss": 0.5044, "learning_rate": 3.303571428571429e-06, "epoch": 0.6969147005444646, "percentage": 35.09, "elapsed_time": "1:55:42", "remaining_time": "3:34:03", "throughput": "0.00", "total_tokens": 0}
43
+ {"current_steps": 41, "total_steps": 114, "loss": 0.5054, "learning_rate": 3.258928571428572e-06, "epoch": 0.7143375680580762, "percentage": 35.96, "elapsed_time": "1:58:25", "remaining_time": "3:30:51", "throughput": "0.00", "total_tokens": 0}
44
+ {"current_steps": 42, "total_steps": 114, "loss": 0.5036, "learning_rate": 3.2142857142857147e-06, "epoch": 0.7317604355716878, "percentage": 36.84, "elapsed_time": "2:01:26", "remaining_time": "3:28:11", "throughput": "0.00", "total_tokens": 0}
45
+ {"current_steps": 43, "total_steps": 114, "loss": 0.503, "learning_rate": 3.1696428571428572e-06, "epoch": 0.7491833030852995, "percentage": 37.72, "elapsed_time": "2:04:13", "remaining_time": "3:25:06", "throughput": "0.00", "total_tokens": 0}
46
+ {"current_steps": 44, "total_steps": 114, "loss": 0.5041, "learning_rate": 3.125e-06, "epoch": 0.7666061705989111, "percentage": 38.6, "elapsed_time": "2:06:58", "remaining_time": "3:22:00", "throughput": "0.00", "total_tokens": 0}
47
+ {"current_steps": 45, "total_steps": 114, "loss": 0.5037, "learning_rate": 3.080357142857143e-06, "epoch": 0.7840290381125227, "percentage": 39.47, "elapsed_time": "2:09:31", "remaining_time": "3:18:35", "throughput": "0.00", "total_tokens": 0}
48
+ {"current_steps": 46, "total_steps": 114, "loss": 0.5043, "learning_rate": 3.0357142857142856e-06, "epoch": 0.8014519056261343, "percentage": 40.35, "elapsed_time": "2:12:10", "remaining_time": "3:15:23", "throughput": "0.00", "total_tokens": 0}
49
+ {"current_steps": 47, "total_steps": 114, "loss": 0.5039, "learning_rate": 2.991071428571429e-06, "epoch": 0.8188747731397459, "percentage": 41.23, "elapsed_time": "2:15:05", "remaining_time": "3:12:34", "throughput": "0.00", "total_tokens": 0}
50
+ {"current_steps": 48, "total_steps": 114, "loss": 0.5035, "learning_rate": 2.946428571428572e-06, "epoch": 0.8362976406533575, "percentage": 42.11, "elapsed_time": "2:17:50", "remaining_time": "3:09:32", "throughput": "0.00", "total_tokens": 0}
51
+ {"current_steps": 48, "total_steps": 114, "eval_loss": 0.5040844082832336, "epoch": 0.8362976406533575, "percentage": 42.11, "elapsed_time": "2:18:32", "remaining_time": "3:10:29", "throughput": "0.00", "total_tokens": 0}
52
+ {"current_steps": 49, "total_steps": 114, "loss": 0.5037, "learning_rate": 2.9017857142857148e-06, "epoch": 0.8537205081669691, "percentage": 42.98, "elapsed_time": "2:21:40", "remaining_time": "3:07:56", "throughput": "0.00", "total_tokens": 0}
53
+ {"current_steps": 50, "total_steps": 114, "loss": 0.5046, "learning_rate": 2.8571428571428573e-06, "epoch": 0.8711433756805808, "percentage": 43.86, "elapsed_time": "2:24:19", "remaining_time": "3:04:44", "throughput": "0.00", "total_tokens": 0}
54
+ {"current_steps": 51, "total_steps": 114, "loss": 0.5046, "learning_rate": 2.8125e-06, "epoch": 0.8885662431941924, "percentage": 44.74, "elapsed_time": "2:27:10", "remaining_time": "3:01:48", "throughput": "0.00", "total_tokens": 0}
55
+ {"current_steps": 52, "total_steps": 114, "loss": 0.5032, "learning_rate": 2.767857142857143e-06, "epoch": 0.905989110707804, "percentage": 45.61, "elapsed_time": "2:29:52", "remaining_time": "2:58:41", "throughput": "0.00", "total_tokens": 0}
56
+ {"current_steps": 53, "total_steps": 114, "loss": 0.5041, "learning_rate": 2.7232142857142856e-06, "epoch": 0.9234119782214156, "percentage": 46.49, "elapsed_time": "2:32:45", "remaining_time": "2:55:48", "throughput": "0.00", "total_tokens": 0}
57
+ {"current_steps": 54, "total_steps": 114, "loss": 0.5036, "learning_rate": 2.6785714285714285e-06, "epoch": 0.9408348457350272, "percentage": 47.37, "elapsed_time": "2:35:32", "remaining_time": "2:52:49", "throughput": "0.00", "total_tokens": 0}
58
+ {"current_steps": 55, "total_steps": 114, "loss": 0.5038, "learning_rate": 2.633928571428572e-06, "epoch": 0.9582577132486388, "percentage": 48.25, "elapsed_time": "2:38:40", "remaining_time": "2:50:13", "throughput": "0.00", "total_tokens": 0}
59
+ {"current_steps": 56, "total_steps": 114, "loss": 0.5038, "learning_rate": 2.5892857142857148e-06, "epoch": 0.9756805807622505, "percentage": 49.12, "elapsed_time": "2:41:35", "remaining_time": "2:47:21", "throughput": "0.00", "total_tokens": 0}
60
+ {"current_steps": 57, "total_steps": 114, "loss": 0.5034, "learning_rate": 2.5446428571428573e-06, "epoch": 0.993103448275862, "percentage": 50.0, "elapsed_time": "2:44:13", "remaining_time": "2:44:13", "throughput": "0.00", "total_tokens": 0}
61
+ {"current_steps": 58, "total_steps": 114, "loss": 0.5036, "learning_rate": 2.5e-06, "epoch": 1.0105263157894737, "percentage": 50.88, "elapsed_time": "2:47:10", "remaining_time": "2:41:24", "throughput": "0.00", "total_tokens": 0}
62
+ {"current_steps": 59, "total_steps": 114, "loss": 0.5037, "learning_rate": 2.455357142857143e-06, "epoch": 1.0279491833030854, "percentage": 51.75, "elapsed_time": "2:49:39", "remaining_time": "2:38:08", "throughput": "0.00", "total_tokens": 0}
63
+ {"current_steps": 60, "total_steps": 114, "loss": 0.5036, "learning_rate": 2.410714285714286e-06, "epoch": 1.0453720508166968, "percentage": 52.63, "elapsed_time": "2:52:43", "remaining_time": "2:35:27", "throughput": "0.00", "total_tokens": 0}
64
+ {"current_steps": 61, "total_steps": 114, "loss": 0.5035, "learning_rate": 2.3660714285714285e-06, "epoch": 1.0627949183303085, "percentage": 53.51, "elapsed_time": "2:55:47", "remaining_time": "2:32:43", "throughput": "0.00", "total_tokens": 0}
65
+ {"current_steps": 62, "total_steps": 114, "loss": 0.5034, "learning_rate": 2.321428571428572e-06, "epoch": 1.0802177858439201, "percentage": 54.39, "elapsed_time": "2:58:25", "remaining_time": "2:29:39", "throughput": "0.00", "total_tokens": 0}
66
+ {"current_steps": 63, "total_steps": 114, "loss": 0.5034, "learning_rate": 2.2767857142857144e-06, "epoch": 1.0976406533575318, "percentage": 55.26, "elapsed_time": "3:01:15", "remaining_time": "2:26:43", "throughput": "0.00", "total_tokens": 0}
67
+ {"current_steps": 64, "total_steps": 114, "loss": 0.5037, "learning_rate": 2.2321428571428573e-06, "epoch": 1.1150635208711435, "percentage": 56.14, "elapsed_time": "3:04:11", "remaining_time": "2:23:53", "throughput": "0.00", "total_tokens": 0}
68
+ {"current_steps": 64, "total_steps": 114, "eval_loss": 0.5034511089324951, "epoch": 1.1150635208711435, "percentage": 56.14, "elapsed_time": "3:04:52", "remaining_time": "2:24:26", "throughput": "0.00", "total_tokens": 0}
69
+ {"current_steps": 65, "total_steps": 114, "loss": 0.504, "learning_rate": 2.1875000000000002e-06, "epoch": 1.132486388384755, "percentage": 57.02, "elapsed_time": "3:07:46", "remaining_time": "2:21:33", "throughput": "0.00", "total_tokens": 0}
70
+ {"current_steps": 66, "total_steps": 114, "loss": 0.504, "learning_rate": 2.1428571428571427e-06, "epoch": 1.1499092558983666, "percentage": 57.89, "elapsed_time": "3:11:05", "remaining_time": "2:18:58", "throughput": "0.00", "total_tokens": 0}
71
+ {"current_steps": 67, "total_steps": 114, "loss": 0.5034, "learning_rate": 2.098214285714286e-06, "epoch": 1.1673321234119782, "percentage": 58.77, "elapsed_time": "3:14:11", "remaining_time": "2:16:13", "throughput": "0.00", "total_tokens": 0}
72
+ {"current_steps": 68, "total_steps": 114, "loss": 0.503, "learning_rate": 2.0535714285714286e-06, "epoch": 1.18475499092559, "percentage": 59.65, "elapsed_time": "3:16:50", "remaining_time": "2:13:09", "throughput": "0.00", "total_tokens": 0}
73
+ {"current_steps": 69, "total_steps": 114, "loss": 0.5042, "learning_rate": 2.0089285714285715e-06, "epoch": 1.2021778584392013, "percentage": 60.53, "elapsed_time": "3:19:33", "remaining_time": "2:10:08", "throughput": "0.00", "total_tokens": 0}
74
+ {"current_steps": 70, "total_steps": 114, "loss": 0.5033, "learning_rate": 1.9642857142857144e-06, "epoch": 1.219600725952813, "percentage": 61.4, "elapsed_time": "3:22:11", "remaining_time": "2:07:05", "throughput": "0.00", "total_tokens": 0}
75
+ {"current_steps": 71, "total_steps": 114, "loss": 0.5035, "learning_rate": 1.9196428571428573e-06, "epoch": 1.2370235934664247, "percentage": 62.28, "elapsed_time": "3:25:05", "remaining_time": "2:04:12", "throughput": "0.00", "total_tokens": 0}
76
+ {"current_steps": 72, "total_steps": 114, "loss": 0.5029, "learning_rate": 1.8750000000000003e-06, "epoch": 1.2544464609800363, "percentage": 63.16, "elapsed_time": "3:28:11", "remaining_time": "2:01:26", "throughput": "0.00", "total_tokens": 0}
77
+ {"current_steps": 73, "total_steps": 114, "loss": 0.5034, "learning_rate": 1.830357142857143e-06, "epoch": 1.271869328493648, "percentage": 64.04, "elapsed_time": "3:30:48", "remaining_time": "1:58:23", "throughput": "0.00", "total_tokens": 0}
78
+ {"current_steps": 74, "total_steps": 114, "loss": 0.5032, "learning_rate": 1.7857142857142859e-06, "epoch": 1.2892921960072594, "percentage": 64.91, "elapsed_time": "3:33:21", "remaining_time": "1:55:19", "throughput": "0.00", "total_tokens": 0}
79
+ {"current_steps": 75, "total_steps": 114, "loss": 0.5036, "learning_rate": 1.7410714285714286e-06, "epoch": 1.306715063520871, "percentage": 65.79, "elapsed_time": "3:36:07", "remaining_time": "1:52:23", "throughput": "0.00", "total_tokens": 0}
80
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