Training in progress, step 2000
Browse files- config.json +36 -0
- generation_config.json +9 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
- training_log.txt +207 -0
config.json
ADDED
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"dtype": "bfloat16",
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"eos_token_id": 128001,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pad_token_id": null,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_parameters": {
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"factor": 8.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_theta": 500000.0,
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"rope_type": "llama3"
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},
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"tie_word_embeddings": false,
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"transformers_version": "5.2.0",
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"use_cache": false,
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"vocab_size": 128256
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 128000,
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"do_sample": true,
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"eos_token_id": 128001,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "5.2.0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ef214873b47923bbff3b6a16bda1b3cfe344d019708ac5f65f80c2a3eaf98b7
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size 16060556616
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:acd33fa241d0c5dd6160e08ee46e01513ae5bebee0f9534d3642432eb735bdad
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size 5265
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training_log.txt
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==================================================
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Training started at: 2026-03-19 01:25:13
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==================================================
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[2026-03-19 01:25:32] Step 1: loss: 0.4856, grad_norm: 0.3262, learning_rate: 0.0000, epoch: 0.0000
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[2026-03-19 01:26:48] Step 10: loss: 0.4935, grad_norm: 0.3594, learning_rate: 0.0000, epoch: 0.0001
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[2026-03-19 01:28:14] Step 20: loss: 0.7041, grad_norm: 0.3750, learning_rate: 0.0000, epoch: 0.0001
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[2026-03-19 01:29:41] Step 30: loss: 0.7840, grad_norm: 0.3438, learning_rate: 0.0000, epoch: 0.0001
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[2026-03-19 01:31:07] Step 40: loss: 0.7918, grad_norm: 0.3359, learning_rate: 0.0000, epoch: 0.0002
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[2026-03-19 01:32:33] Step 50: loss: 0.7794, grad_norm: 0.2852, learning_rate: 0.0000, epoch: 0.0003
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[2026-03-19 01:34:00] Step 60: loss: 0.6740, grad_norm: 0.3633, learning_rate: 0.0000, epoch: 0.0003
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[2026-03-19 01:35:26] Step 70: loss: 0.8364, grad_norm: 0.2793, learning_rate: 0.0000, epoch: 0.0003
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[2026-03-19 01:36:52] Step 80: loss: 0.8728, grad_norm: 0.2754, learning_rate: 0.0000, epoch: 0.0004
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[2026-03-19 01:38:18] Step 90: loss: 0.8064, grad_norm: 0.2432, learning_rate: 0.0000, epoch: 0.0004
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[2026-03-19 01:39:45] Step 100: loss: 0.8027, grad_norm: 0.2559, learning_rate: 0.0000, epoch: 0.0005
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[2026-03-19 01:41:12] Step 110: loss: 0.7824, grad_norm: 0.2754, learning_rate: 0.0000, epoch: 0.0006
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[2026-03-19 01:42:38] Step 120: loss: 0.6427, grad_norm: 0.2461, learning_rate: 0.0000, epoch: 0.0006
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[2026-03-19 01:44:04] Step 130: loss: 0.7531, grad_norm: 0.2412, learning_rate: 0.0000, epoch: 0.0006
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[2026-03-19 01:45:30] Step 140: loss: 0.7714, grad_norm: 0.3164, learning_rate: 0.0000, epoch: 0.0007
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[2026-03-19 01:46:57] Step 150: loss: 0.6974, grad_norm: 0.3281, learning_rate: 0.0000, epoch: 0.0008
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[2026-03-19 01:48:23] Step 160: loss: 0.8218, grad_norm: 0.2617, learning_rate: 0.0000, epoch: 0.0008
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[2026-03-19 01:49:50] Step 170: loss: 0.7847, grad_norm: 0.2930, learning_rate: 0.0000, epoch: 0.0008
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[2026-03-19 01:51:16] Step 180: loss: 0.5521, grad_norm: 0.2832, learning_rate: 0.0000, epoch: 0.0009
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[2026-03-19 01:52:42] Step 190: loss: 0.7037, grad_norm: 0.2500, learning_rate: 0.0000, epoch: 0.0009
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[2026-03-19 01:54:09] Step 200: loss: 0.6810, grad_norm: 0.2852, learning_rate: 0.0000, epoch: 0.0010
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[2026-03-19 01:55:34] Step 210: loss: 1.0168, grad_norm: 0.2871, learning_rate: 0.0000, epoch: 0.0010
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[2026-03-19 01:57:00] Step 220: loss: 0.6432, grad_norm: 0.3945, learning_rate: 0.0000, epoch: 0.0011
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[2026-03-19 01:58:26] Step 230: loss: 0.6609, grad_norm: 0.2471, learning_rate: 0.0000, epoch: 0.0011
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[2026-03-19 01:59:53] Step 240: loss: 0.7392, grad_norm: 0.3086, learning_rate: 0.0000, epoch: 0.0012
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[2026-03-19 02:01:20] Step 250: loss: 0.5720, grad_norm: 0.2393, learning_rate: 0.0000, epoch: 0.0013
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[2026-03-19 02:02:46] Step 260: loss: 0.6996, grad_norm: 0.3613, learning_rate: 0.0000, epoch: 0.0013
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[2026-03-19 02:04:13] Step 270: loss: 0.7542, grad_norm: 0.3945, learning_rate: 0.0000, epoch: 0.0014
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[2026-03-19 02:05:40] Step 280: loss: 0.6788, grad_norm: 0.2246, learning_rate: 0.0000, epoch: 0.0014
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[2026-03-19 02:07:05] Step 290: loss: 0.7190, grad_norm: 0.2520, learning_rate: 0.0000, epoch: 0.0014
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[2026-03-19 02:08:31] Step 300: loss: 0.6371, grad_norm: 0.3164, learning_rate: 0.0000, epoch: 0.0015
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[2026-03-19 02:09:57] Step 310: loss: 0.8777, grad_norm: 0.3281, learning_rate: 0.0000, epoch: 0.0015
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[2026-03-19 02:11:23] Step 320: loss: 0.7312, grad_norm: 0.2402, learning_rate: 0.0000, epoch: 0.0016
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[2026-03-19 02:12:50] Step 330: loss: 0.6872, grad_norm: 0.2383, learning_rate: 0.0000, epoch: 0.0016
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[2026-03-19 02:14:16] Step 340: loss: 0.7424, grad_norm: 0.3457, learning_rate: 0.0000, epoch: 0.0017
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[2026-03-19 02:15:42] Step 350: loss: 0.6354, grad_norm: 0.2500, learning_rate: 0.0000, epoch: 0.0018
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[2026-03-19 02:17:08] Step 360: loss: 0.6052, grad_norm: 0.5391, learning_rate: 0.0000, epoch: 0.0018
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[2026-03-19 02:18:35] Step 370: loss: 0.7459, grad_norm: 0.2871, learning_rate: 0.0000, epoch: 0.0019
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[2026-03-19 02:20:01] Step 380: loss: 0.6992, grad_norm: 0.2676, learning_rate: 0.0000, epoch: 0.0019
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[2026-03-19 02:21:28] Step 390: loss: 0.6429, grad_norm: 0.3164, learning_rate: 0.0000, epoch: 0.0019
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[2026-03-19 02:22:54] Step 400: loss: 0.7400, grad_norm: 0.2451, learning_rate: 0.0000, epoch: 0.0020
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[2026-03-19 02:24:20] Step 410: loss: 0.5856, grad_norm: 0.2871, learning_rate: 0.0000, epoch: 0.0021
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[2026-03-19 02:25:46] Step 420: loss: 0.5673, grad_norm: 0.3047, learning_rate: 0.0000, epoch: 0.0021
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[2026-03-19 02:27:12] Step 430: loss: 0.6554, grad_norm: 0.2324, learning_rate: 0.0000, epoch: 0.0022
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[2026-03-19 02:28:39] Step 440: loss: 0.7193, grad_norm: 0.3008, learning_rate: 0.0000, epoch: 0.0022
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[2026-03-19 02:30:04] Step 450: loss: 0.8350, grad_norm: 0.4062, learning_rate: 0.0000, epoch: 0.0022
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[2026-03-19 02:31:31] Step 460: loss: 0.6407, grad_norm: 0.2500, learning_rate: 0.0000, epoch: 0.0023
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[2026-03-19 02:32:57] Step 470: loss: 0.7993, grad_norm: 0.2754, learning_rate: 0.0000, epoch: 0.0024
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[2026-03-19 02:34:23] Step 480: loss: 0.6173, grad_norm: 0.2637, learning_rate: 0.0000, epoch: 0.0024
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[2026-03-19 02:35:49] Step 490: loss: 0.6819, grad_norm: 0.2988, learning_rate: 0.0000, epoch: 0.0024
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[2026-03-19 02:37:15] Step 500: loss: 0.8780, grad_norm: 0.3359, learning_rate: 0.0000, epoch: 0.0025
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[2026-03-19 02:38:41] Step 510: loss: 0.6892, grad_norm: 0.2139, learning_rate: 0.0000, epoch: 0.0026
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[2026-03-19 02:40:07] Step 520: loss: 0.6315, grad_norm: 0.3008, learning_rate: 0.0000, epoch: 0.0026
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[2026-03-19 02:41:33] Step 530: loss: 0.6788, grad_norm: 0.2637, learning_rate: 0.0000, epoch: 0.0027
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[2026-03-19 02:43:00] Step 540: loss: 0.6937, grad_norm: 0.2520, learning_rate: 0.0000, epoch: 0.0027
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[2026-03-19 02:44:26] Step 550: loss: 0.5224, grad_norm: 0.2236, learning_rate: 0.0000, epoch: 0.0027
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[2026-03-19 02:45:52] Step 560: loss: 0.7166, grad_norm: 0.2480, learning_rate: 0.0000, epoch: 0.0028
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[2026-03-19 02:47:18] Step 570: loss: 0.7413, grad_norm: 0.2715, learning_rate: 0.0000, epoch: 0.0029
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[2026-03-19 02:48:45] Step 580: loss: 0.6571, grad_norm: 0.2617, learning_rate: 0.0000, epoch: 0.0029
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[2026-03-19 02:50:11] Step 590: loss: 0.6766, grad_norm: 0.2812, learning_rate: 0.0000, epoch: 0.0029
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[2026-03-19 02:51:38] Step 600: loss: 0.6363, grad_norm: 0.2734, learning_rate: 0.0000, epoch: 0.0030
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[2026-03-19 02:53:05] Step 610: loss: 0.6390, grad_norm: 0.3066, learning_rate: 0.0000, epoch: 0.0031
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[2026-03-19 02:54:30] Step 620: loss: 1.1953, grad_norm: 1.7109, learning_rate: 0.0000, epoch: 0.0031
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[2026-03-19 02:55:57] Step 630: loss: 0.5954, grad_norm: 0.2539, learning_rate: 0.0000, epoch: 0.0032
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[2026-03-19 02:57:24] Step 640: loss: 0.5988, grad_norm: 0.2676, learning_rate: 0.0000, epoch: 0.0032
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[2026-03-19 02:58:50] Step 650: loss: 0.6157, grad_norm: 0.2129, learning_rate: 0.0000, epoch: 0.0032
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[2026-03-19 03:00:16] Step 660: loss: 0.5548, grad_norm: 0.2715, learning_rate: 0.0000, epoch: 0.0033
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[2026-03-19 03:01:43] Step 670: loss: 0.7118, grad_norm: 0.2363, learning_rate: 0.0000, epoch: 0.0034
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[2026-03-19 03:03:08] Step 680: loss: 0.5809, grad_norm: 0.3633, learning_rate: 0.0000, epoch: 0.0034
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[2026-03-19 03:04:34] Step 690: loss: 0.7001, grad_norm: 0.2422, learning_rate: 0.0000, epoch: 0.0034
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[2026-03-19 03:06:01] Step 700: loss: 0.5441, grad_norm: 0.2334, learning_rate: 0.0000, epoch: 0.0035
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[2026-03-19 03:07:27] Step 710: loss: 0.4941, grad_norm: 0.1416, learning_rate: 0.0000, epoch: 0.0036
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[2026-03-19 03:08:53] Step 720: loss: 0.4908, grad_norm: 0.1709, learning_rate: 0.0000, epoch: 0.0036
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[2026-03-19 03:10:19] Step 730: loss: 0.6397, grad_norm: 0.2451, learning_rate: 0.0000, epoch: 0.0037
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[2026-03-19 03:11:45] Step 740: loss: 0.6564, grad_norm: 0.2812, learning_rate: 0.0000, epoch: 0.0037
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