==========================================================
[bootstrap] job=tm-cpt-1782287355 task=cpt  start=2026-06-24T07:55:11Z
[bootstrap] host=132-145-139-229
[bootstrap] image=ghcr.io/venera-ai/traditional-medical-model:main
----- nvidia-smi (host) -----
Wed Jun 24 07:55:11 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 570.148.08             Driver Version: 570.148.08     CUDA Version: 12.8     |
|-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA A100-SXM4-40GB          On  |   00000000:06:00.0 Off |                    0 |
| N/A   31C    P0             50W /  400W |       0MiB /  40960MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+
                                                                                         
+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|  No running processes found                                                             |
+-----------------------------------------------------------------------------------------+
----- kernel/driver -----
6.8.0-60-generic
version:        570.148.08
==========================================================
Cloning into '/home/ubuntu/Traditional-Medical-Model'...

WARNING! Your credentials are stored unencrypted in '/root/.docker/config.json'.
Configure a credential helper to remove this warning. See
https://docs.docker.com/go/credential-store/

Login Succeeded
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Digest: sha256:3d8146060a3a16ff2a8535ced4b909dc680d52092dced5ded4294a66b209ae79
Status: Downloaded newer image for ghcr.io/venera-ai/traditional-medical-model:main
ghcr.io/venera-ai/traditional-medical-model:main
[bootstrap] ===== CPT: train + push adapter =====

==========
== CUDA ==
==========

CUDA Version 12.8.0

Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.

This container image and its contents are governed by the NVIDIA Deep Learning Container License.
By pulling and using the container, you accept the terms and conditions of this license:
https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license

A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.

🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.
🦥 Unsloth Zoo will now patch everything to make training faster!
==((====))==  Unsloth 2026.3.17: Fast Qwen3 patching. Transformers: 4.57.6.
   \\   /|    NVIDIA A100-SXM4-40GB. Num GPUs = 1. Max memory: 39.495 GB. Platform: Linux.
O^O/ \_/ \    Torch: 2.10.0+cu128. CUDA: 8.0. CUDA Toolkit: 12.8. Triton: 3.6.0
\        /    Bfloat16 = TRUE. FA [Xformers = 0.0.35. FA2 = False]
 "-____-"     Free license: http://github.com/unslothai/unsloth
Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored!

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unsloth/Qwen3-4B-Instruct-2507 does not have a padding token! Will use pad_token = <|PAD_TOKEN|>.
Unsloth 2026.3.17 patched 36 layers with 36 QKV layers, 36 O layers and 36 MLP layers.

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🦥 Unsloth: Padding-free auto-enabled, enabling faster training.
==((====))==  Unsloth - 2x faster free finetuning | Num GPUs used = 1
   \\   /|    Num examples = 51,377 | Num Epochs = 3 | Total steps = 9,636
O^O/ \_/ \    Batch size per device = 2 | Gradient accumulation steps = 8
\        /    Data Parallel GPUs = 1 | Total batch size (2 x 8 x 1) = 16
 "-____-"     Trainable parameters = 132,120,576 of 4,154,588,672 (3.18% trained)

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{'loss': 3.4687, 'grad_norm': 5.710592269897461, 'learning_rate': 9.310344827586207e-07, 'epoch': 0.0}

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{'loss': 3.2636, 'grad_norm': 4.112977027893066, 'learning_rate': 1.9655172413793105e-06, 'epoch': 0.01}

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{'loss': 3.3686, 'grad_norm': 2.274718761444092, 'learning_rate': 3e-06, 'epoch': 0.01}

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{'loss': 3.1914, 'grad_norm': 1.7815489768981934, 'learning_rate': 4.034482758620689e-06, 'epoch': 0.01}

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{'loss': 3.0541, 'grad_norm': 1.7616022825241089, 'learning_rate': 5.068965517241379e-06, 'epoch': 0.02}

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  1%|          | 60/9636 [02:55<7:32:32,  2.84s/it]{'loss': 3.0419, 'grad_norm': 1.743983507156372, 'learning_rate': 6.103448275862069e-06, 'epoch': 0.02}

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{'loss': 3.2963, 'grad_norm': 1.960888385772705, 'learning_rate': 7.137931034482759e-06, 'epoch': 0.02}

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{'loss': 3.0941, 'grad_norm': 1.5723435878753662, 'learning_rate': 8.172413793103448e-06, 'epoch': 0.02}

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{'loss': 3.0232, 'grad_norm': 1.8179960250854492, 'learning_rate': 9.206896551724138e-06, 'epoch': 0.03}

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{'loss': 2.9678, 'grad_norm': 1.8479384183883667, 'learning_rate': 1.0241379310344828e-05, 'epoch': 0.03}

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{'loss': 3.1191, 'grad_norm': 1.955464482307434, 'learning_rate': 1.1275862068965517e-05, 'epoch': 0.03}

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{'loss': 3.0647, 'grad_norm': 1.9266512393951416, 'learning_rate': 1.2310344827586208e-05, 'epoch': 0.04}

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{'loss': 3.0594, 'grad_norm': 2.0850958824157715, 'learning_rate': 1.3344827586206897e-05, 'epoch': 0.04}

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{'loss': 2.9783, 'grad_norm': 2.0762779712677, 'learning_rate': 1.4379310344827588e-05, 'epoch': 0.04}

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{'loss': 3.0272, 'grad_norm': 2.3034651279449463, 'learning_rate': 1.541379310344828e-05, 'epoch': 0.05}

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{'loss': 2.8477, 'grad_norm': 2.0515341758728027, 'learning_rate': 1.6448275862068966e-05, 'epoch': 0.05}

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{'loss': 3.0582, 'grad_norm': 2.3438284397125244, 'learning_rate': 1.7482758620689657e-05, 'epoch': 0.05}

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{'loss': 2.9172, 'grad_norm': 2.0494842529296875, 'learning_rate': 1.8517241379310344e-05, 'epoch': 0.06}

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{'loss': 2.9085, 'grad_norm': 2.1916589736938477, 'learning_rate': 1.9551724137931035e-05, 'epoch': 0.06}

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{'loss': 3.0307, 'grad_norm': 2.1956427097320557, 'learning_rate': 2.0586206896551726e-05, 'epoch': 0.06}

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{'eval_loss': 2.4975268840789795, 'eval_runtime': 185.5555, 'eval_samples_per_second': 19.304, 'eval_steps_per_second': 9.652, 'epoch': 0.06}

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{'loss': 2.9918, 'grad_norm': 2.3697726726531982, 'learning_rate': 2.1620689655172413e-05, 'epoch': 0.07}

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{'loss': 2.8816, 'grad_norm': 2.201615810394287, 'learning_rate': 2.2655172413793104e-05, 'epoch': 0.07}

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{'loss': 2.9054, 'grad_norm': 2.3439853191375732, 'learning_rate': 2.3689655172413795e-05, 'epoch': 0.07}

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{'loss': 2.8547, 'grad_norm': 2.0424752235412598, 'learning_rate': 2.4724137931034483e-05, 'epoch': 0.07}

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{'loss': 2.9197, 'grad_norm': 2.3506009578704834, 'learning_rate': 2.5758620689655173e-05, 'epoch': 0.08}

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{'loss': 2.8187, 'grad_norm': 2.2192137241363525, 'learning_rate': 2.6793103448275864e-05, 'epoch': 0.08}

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  3%|▎         | 270/9636 [15:54<7:20:56,  2.82s/it]{'loss': 2.945, 'grad_norm': 2.2658157348632812, 'learning_rate': 2.782758620689655e-05, 'epoch': 0.08}

                                                    

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{'loss': 2.7883, 'grad_norm': 2.0327420234680176, 'learning_rate': 2.8862068965517243e-05, 'epoch': 0.09}

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{'loss': 2.757, 'grad_norm': 2.385103225708008, 'learning_rate': 2.989655172413793e-05, 'epoch': 0.09}

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  3%|▎         | 300/9636 [17:18<7:19:23,  2.82s/it]{'loss': 2.9624, 'grad_norm': 2.364215850830078, 'learning_rate': 2.9999931357333936e-05, 'epoch': 0.09}

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{'loss': 2.9134, 'grad_norm': 2.2698380947113037, 'learning_rate': 2.9999694074850415e-05, 'epoch': 0.1}

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{'loss': 2.7339, 'grad_norm': 2.5652096271514893, 'learning_rate': 2.999928730778957e-05, 'epoch': 0.1}

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{'loss': 2.7431, 'grad_norm': 2.008635997772217, 'learning_rate': 2.999871106074755e-05, 'epoch': 0.1}

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{'loss': 2.7374, 'grad_norm': 2.1173808574676514, 'learning_rate': 2.999796534023549e-05, 'epoch': 0.11}

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{'loss': 2.7556, 'grad_norm': 2.344358205795288, 'learning_rate': 2.999705015467943e-05, 'epoch': 0.11}

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{'loss': 2.8033, 'grad_norm': 1.9499619007110596, 'learning_rate': 2.9995965514420236e-05, 'epoch': 0.11}

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{'loss': 2.8677, 'grad_norm': 1.990492820739746, 'learning_rate': 2.9994711431713485e-05, 'epoch': 0.12}

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  4%|▍         | 380/9636 [21:12<7:20:48,  2.86s/it]{'loss': 2.74, 'grad_norm': 1.8299469947814941, 'learning_rate': 2.9993287920729307e-05, 'epoch': 0.12}

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{'loss': 2.7801, 'grad_norm': 2.2576050758361816, 'learning_rate': 2.999169499755224e-05, 'epoch': 0.12}

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{'loss': 2.7836, 'grad_norm': 2.205659866333008, 'learning_rate': 2.998993268018105e-05, 'epoch': 0.12}

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{'eval_loss': 2.419713020324707, 'eval_runtime': 188.3204, 'eval_samples_per_second': 19.021, 'eval_steps_per_second': 9.51, 'epoch': 0.12}

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{'loss': 2.72, 'grad_norm': 2.010685920715332, 'learning_rate': 2.9985899944421198e-05, 'epoch': 0.13}

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{'loss': 2.6292, 'grad_norm': 1.938414216041565, 'learning_rate': 2.9983629571599237e-05, 'epoch': 0.13}

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{'loss': 2.6866, 'grad_norm': 1.9551500082015991, 'learning_rate': 2.9981189895716027e-05, 'epoch': 0.14}

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{'loss': 2.6753, 'grad_norm': 1.7811170816421509, 'learning_rate': 2.9978580944337964e-05, 'epoch': 0.14}

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{'loss': 2.8005, 'grad_norm': 1.7990926504135132, 'learning_rate': 2.9975802746944113e-05, 'epoch': 0.14}

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{'loss': 2.7619, 'grad_norm': 1.7767155170440674, 'learning_rate': 2.9972855334925886e-05, 'epoch': 0.15}

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{'loss': 2.7727, 'grad_norm': 1.8317558765411377, 'learning_rate': 2.9969738741586692e-05, 'epoch': 0.15}

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  5%|▌         | 490/9636 [29:35<7:15:11,  2.85s/it]{'loss': 2.8972, 'grad_norm': 1.8651659488677979, 'learning_rate': 2.9966453002141553e-05, 'epoch': 0.15}

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{'loss': 2.6964, 'grad_norm': 1.8583601713180542, 'learning_rate': 2.9962998153716695e-05, 'epoch': 0.16}

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{'loss': 2.6418, 'grad_norm': 1.7965303659439087, 'learning_rate': 2.9959374235349153e-05, 'epoch': 0.16}

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{'loss': 2.7117, 'grad_norm': 1.9411571025848389, 'learning_rate': 2.995558128798632e-05, 'epoch': 0.16}

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{'loss': 2.8342, 'grad_norm': 1.9380768537521362, 'learning_rate': 2.9951619354485462e-05, 'epoch': 0.17}

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{'loss': 2.7586, 'grad_norm': 2.08115291595459, 'learning_rate': 2.9947488479613275e-05, 'epoch': 0.17}

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{'loss': 2.616, 'grad_norm': 1.7095228433609009, 'learning_rate': 2.994318871004535e-05, 'epoch': 0.17}

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{'loss': 2.7356, 'grad_norm': 1.9038606882095337, 'learning_rate': 2.993872009436565e-05, 'epoch': 0.17}

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  6%|▌         | 570/9636 [33:27<7:08:49,  2.84s/it]{'loss': 2.657, 'grad_norm': 1.8182462453842163, 'learning_rate': 2.9934082683065976e-05, 'epoch': 0.18}

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{'loss': 2.6856, 'grad_norm': 1.8429280519485474, 'learning_rate': 2.9929276528545363e-05, 'epoch': 0.18}

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  6%|▌         | 590/9636 [34:24<7:10:37,  2.86s/it]{'loss': 2.5702, 'grad_norm': 1.7678461074829102, 'learning_rate': 2.9924301685109528e-05, 'epoch': 0.18}

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{'loss': 2.6474, 'grad_norm': 1.9006597995758057, 'learning_rate': 2.991915820897024e-05, 'epoch': 0.19}

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{'eval_loss': 2.3689558506011963, 'eval_runtime': 187.571, 'eval_samples_per_second': 19.097, 'eval_steps_per_second': 9.548, 'epoch': 0.19}

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  8%|▊         | 730/9636 [44:12<7:03:00,  2.85s/it]{'loss': 2.6025, 'grad_norm': 1.762256383895874, 'learning_rate': 2.9836976484311342e-05, 'epoch': 0.23}

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  8%|▊         | 770/9636 [46:07<6:56:46,  2.82s/it]{'loss': 2.6547, 'grad_norm': 1.7742087841033936, 'learning_rate': 2.980598200089195e-05, 'epoch': 0.24}

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{'loss': 2.6234, 'grad_norm': 1.7596791982650757, 'learning_rate': 2.9797814916959914e-05, 'epoch': 0.24}

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{'loss': 2.6387, 'grad_norm': 1.9493887424468994, 'learning_rate': 2.9789480629524002e-05, 'epoch': 0.25}

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{'loss': 2.5845, 'grad_norm': 1.5774052143096924, 'learning_rate': 2.9780979232755016e-05, 'epoch': 0.25}

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{'eval_loss': 2.329049825668335, 'eval_runtime': 188.0103, 'eval_samples_per_second': 19.052, 'eval_steps_per_second': 9.526, 'epoch': 0.25}

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{'loss': 2.5172, 'grad_norm': 1.8550705909729004, 'learning_rate': 2.964447042060445e-05, 'epoch': 0.29}

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{'loss': 2.5193, 'grad_norm': 1.7010878324508667, 'learning_rate': 2.9633474965597637e-05, 'epoch': 0.3}

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{'loss': 2.496, 'grad_norm': 1.829086184501648, 'learning_rate': 2.9622314163997292e-05, 'epoch': 0.3}

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{'loss': 2.565, 'grad_norm': 1.666056513786316, 'learning_rate': 2.9610988141911577e-05, 'epoch': 0.3}

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{'loss': 2.4276, 'grad_norm': 1.7115813493728638, 'learning_rate': 2.9599497027315496e-05, 'epoch': 0.31}

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{'loss': 2.5883, 'grad_norm': 1.6418910026550293, 'learning_rate': 2.9587840950049488e-05, 'epoch': 0.31}

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{'loss': 2.5583, 'grad_norm': 1.928740382194519, 'learning_rate': 2.9576020041817923e-05, 'epoch': 0.31}

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{'eval_loss': 2.301966905593872, 'eval_runtime': 187.3162, 'eval_samples_per_second': 19.123, 'eval_steps_per_second': 9.561, 'epoch': 0.31}

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{'loss': 2.5991, 'grad_norm': 1.6815134286880493, 'learning_rate': 2.956403443618763e-05, 'epoch': 0.31}

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{'loss': 2.4965, 'grad_norm': 1.709279179573059, 'learning_rate': 2.95518842685864e-05, 'epoch': 0.32}

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{'loss': 2.661, 'grad_norm': 1.9842634201049805, 'learning_rate': 2.9539569676301428e-05, 'epoch': 0.32}

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{'loss': 2.5296, 'grad_norm': 1.804083228111267, 'learning_rate': 2.9527090798477783e-05, 'epoch': 0.32}

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{'loss': 2.5975, 'grad_norm': 1.7174723148345947, 'learning_rate': 2.9514447776116833e-05, 'epoch': 0.33}

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{'loss': 2.5267, 'grad_norm': 1.6710278987884521, 'learning_rate': 2.950164075207464e-05, 'epoch': 0.33}

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{'loss': 2.5177, 'grad_norm': 1.7185167074203491, 'learning_rate': 2.9488669871060365e-05, 'epoch': 0.33}

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{'loss': 2.547, 'grad_norm': 1.6656522750854492, 'learning_rate': 2.9475535279634617e-05, 'epoch': 0.34}

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{'loss': 2.5285, 'grad_norm': 1.679572343826294, 'learning_rate': 2.9448775561038425e-05, 'epoch': 0.34}

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{'loss': 2.5598, 'grad_norm': 1.7561739683151245, 'learning_rate': 2.943515073623146e-05, 'epoch': 0.35}

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{'loss': 2.5928, 'grad_norm': 1.720380187034607, 'learning_rate': 2.9421362805736546e-05, 'epoch': 0.35}

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{'loss': 2.6045, 'grad_norm': 1.8476014137268066, 'learning_rate': 2.9407411925346302e-05, 'epoch': 0.35}

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{'loss': 2.5162, 'grad_norm': 1.6273291110992432, 'learning_rate': 2.9393298252694546e-05, 'epoch': 0.36}

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{'loss': 2.4606, 'grad_norm': 1.75390625, 'learning_rate': 2.937902194725452e-05, 'epoch': 0.36}

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{'loss': 2.3337, 'grad_norm': 1.6732534170150757, 'learning_rate': 2.9364583170337086e-05, 'epoch': 0.36}

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{'loss': 2.5262, 'grad_norm': 1.8491979837417603, 'learning_rate': 2.9349982085088907e-05, 'epoch': 0.36}

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{'loss': 2.6422, 'grad_norm': 1.868221640586853, 'learning_rate': 2.9335218856490598e-05, 'epoch': 0.37}

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{'loss': 2.4261, 'grad_norm': 1.6612467765808105, 'learning_rate': 2.9320293651354864e-05, 'epoch': 0.37}

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{'loss': 2.5872, 'grad_norm': 1.7871373891830444, 'learning_rate': 2.930520663832462e-05, 'epoch': 0.37}

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{'eval_loss': 2.280086040496826, 'eval_runtime': 188.4122, 'eval_samples_per_second': 19.012, 'eval_steps_per_second': 9.506, 'epoch': 0.37}

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{'loss': 2.4068, 'grad_norm': 1.5610564947128296, 'learning_rate': 2.928995798787107e-05, 'epoch': 0.38}

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{'loss': 2.4546, 'grad_norm': 1.6320385932922363, 'learning_rate': 2.927454787229181e-05, 'epoch': 0.38}

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{'loss': 2.5549, 'grad_norm': 1.7062855958938599, 'learning_rate': 2.925897646570884e-05, 'epoch': 0.38}

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{'loss': 2.5335, 'grad_norm': 1.85527765750885, 'learning_rate': 2.924324394406665e-05, 'epoch': 0.39}

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{'loss': 2.5029, 'grad_norm': 1.8679388761520386, 'learning_rate': 2.922735048513017e-05, 'epoch': 0.39}

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{'loss': 2.4236, 'grad_norm': 1.7769486904144287, 'learning_rate': 2.921129626848281e-05, 'epoch': 0.39}

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{'loss': 2.6149, 'grad_norm': 1.6475229263305664, 'learning_rate': 2.9195081475524418e-05, 'epoch': 0.4}

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{'loss': 2.3917, 'grad_norm': 1.7589963674545288, 'learning_rate': 2.917870628946921e-05, 'epoch': 0.4}

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{'loss': 2.6422, 'grad_norm': 1.9410358667373657, 'learning_rate': 2.916217089534373e-05, 'epoch': 0.4}

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{'loss': 2.4443, 'grad_norm': 1.6850473880767822, 'learning_rate': 2.914547547998474e-05, 'epoch': 0.4}

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{'loss': 2.4391, 'grad_norm': 1.649583339691162, 'learning_rate': 2.912862023203712e-05, 'epoch': 0.41}

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{'loss': 2.4502, 'grad_norm': 1.6115795373916626, 'learning_rate': 2.9111605341951722e-05, 'epoch': 0.41}

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{'loss': 2.4799, 'grad_norm': 1.8832378387451172, 'learning_rate': 2.9094431001983225e-05, 'epoch': 0.41}

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{'loss': 2.5117, 'grad_norm': 1.6968868970870972, 'learning_rate': 2.9077097406187977e-05, 'epoch': 0.42}

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{'loss': 2.4572, 'grad_norm': 1.7519036531448364, 'learning_rate': 2.9059604750421785e-05, 'epoch': 0.42}

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{'loss': 2.5367, 'grad_norm': 1.5770065784454346, 'learning_rate': 2.9041953232337697e-05, 'epoch': 0.42}

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{'loss': 2.5847, 'grad_norm': 1.573305368423462, 'learning_rate': 2.9024143051383793e-05, 'epoch': 0.43}

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{'loss': 2.476, 'grad_norm': 1.646642804145813, 'learning_rate': 2.9006174408800905e-05, 'epoch': 0.43}

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{'loss': 2.4636, 'grad_norm': 1.7411874532699585, 'learning_rate': 2.8988047507620363e-05, 'epoch': 0.43}

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{'loss': 2.4731, 'grad_norm': 1.837915301322937, 'learning_rate': 2.8969762552661694e-05, 'epoch': 0.44}

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{'eval_loss': 2.2641537189483643, 'eval_runtime': 187.8238, 'eval_samples_per_second': 19.071, 'eval_steps_per_second': 9.536, 'epoch': 0.44}

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{'loss': 2.4989, 'grad_norm': 1.7674052715301514, 'learning_rate': 2.8951319750530294e-05, 'epoch': 0.44}

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{'loss': 2.4845, 'grad_norm': 1.7000062465667725, 'learning_rate': 2.8932719309615117e-05, 'epoch': 0.44}

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{'loss': 2.4201, 'grad_norm': 1.6649374961853027, 'learning_rate': 2.8913961440086313e-05, 'epoch': 0.45}

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{'loss': 2.4613, 'grad_norm': 1.563019871711731, 'learning_rate': 2.8895046353892835e-05, 'epoch': 0.45}

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{'loss': 2.3571, 'grad_norm': 1.5102026462554932, 'learning_rate': 2.887597426476007e-05, 'epoch': 0.45}

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{'loss': 2.537, 'grad_norm': 1.9227854013442993, 'learning_rate': 2.885674538818742e-05, 'epoch': 0.45}

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{'loss': 2.5115, 'grad_norm': 1.6860737800598145, 'learning_rate': 2.8837359941445842e-05, 'epoch': 0.46}

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{'loss': 2.518, 'grad_norm': 1.759619951248169, 'learning_rate': 2.8817818143575418e-05, 'epoch': 0.46}

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{'loss': 2.4233, 'grad_norm': 1.6336727142333984, 'learning_rate': 2.8798120215382883e-05, 'epoch': 0.46}

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{'loss': 2.4732, 'grad_norm': 1.6745508909225464, 'learning_rate': 2.8778266379439107e-05, 'epoch': 0.47}

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{'loss': 2.4297, 'grad_norm': 1.6715284585952759, 'learning_rate': 2.87582568600766e-05, 'epoch': 0.47}

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{'loss': 2.4782, 'grad_norm': 1.840112328529358, 'learning_rate': 2.8738091883386965e-05, 'epoch': 0.47}

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{'loss': 2.4658, 'grad_norm': 1.5858104228973389, 'learning_rate': 2.8717771677218354e-05, 'epoch': 0.48}

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{'loss': 2.6407, 'grad_norm': 1.7817493677139282, 'learning_rate': 2.8697296471172888e-05, 'epoch': 0.48}

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{'loss': 2.4502, 'grad_norm': 1.856494426727295, 'learning_rate': 2.8676666496604063e-05, 'epoch': 0.48}

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{'loss': 2.3524, 'grad_norm': 1.7232927083969116, 'learning_rate': 2.865588198661413e-05, 'epoch': 0.49}

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{'loss': 2.5759, 'grad_norm': 1.830521583557129, 'learning_rate': 2.863494317605148e-05, 'epoch': 0.49}

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{'loss': 2.4547, 'grad_norm': 1.6324622631072998, 'learning_rate': 2.8613850301507954e-05, 'epoch': 0.49}

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{'loss': 2.5356, 'grad_norm': 1.768727421760559, 'learning_rate': 2.8592603601316217e-05, 'epoch': 0.5}

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{'loss': 2.4772, 'grad_norm': 1.8225862979888916, 'learning_rate': 2.8571203315547037e-05, 'epoch': 0.5}

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{'eval_loss': 2.252415418624878, 'eval_runtime': 188.0742, 'eval_samples_per_second': 19.046, 'eval_steps_per_second': 9.523, 'epoch': 0.5}

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{'loss': 2.5242, 'grad_norm': 1.612938404083252, 'learning_rate': 2.8549649686006562e-05, 'epoch': 0.5}

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{'loss': 2.5076, 'grad_norm': 1.6754857301712036, 'learning_rate': 2.852794295623362e-05, 'epoch': 0.5}

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{'loss': 2.5057, 'grad_norm': 1.747006893157959, 'learning_rate': 2.8506083371496933e-05, 'epoch': 0.51}

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{'loss': 2.3557, 'grad_norm': 1.7358582019805908, 'learning_rate': 2.8484071178792373e-05, 'epoch': 0.51}

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{'loss': 2.581, 'grad_norm': 1.6672393083572388, 'learning_rate': 2.8461906626840166e-05, 'epoch': 0.51}

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{'loss': 2.464, 'grad_norm': 1.6059197187423706, 'learning_rate': 2.8439589966082057e-05, 'epoch': 0.52}

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{'loss': 2.4204, 'grad_norm': 1.6459606885910034, 'learning_rate': 2.8417121448678516e-05, 'epoch': 0.52}

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{'loss': 2.4962, 'grad_norm': 1.7990778684616089, 'learning_rate': 2.839450132850586e-05, 'epoch': 0.52}

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{'loss': 2.4323, 'grad_norm': 1.597915530204773, 'learning_rate': 2.8371729861153407e-05, 'epoch': 0.53}

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{'loss': 2.5238, 'grad_norm': 1.6766374111175537, 'learning_rate': 2.834880730392057e-05, 'epoch': 0.53}

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{'loss': 2.5116, 'grad_norm': 1.8369643688201904, 'learning_rate': 2.8325733915813966e-05, 'epoch': 0.53}

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{'loss': 2.349, 'grad_norm': 1.6909006834030151, 'learning_rate': 2.8302509957544465e-05, 'epoch': 0.54}

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{'loss': 2.3722, 'grad_norm': 1.7564663887023926, 'learning_rate': 2.8279135691524275e-05, 'epoch': 0.54}

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{'loss': 2.584, 'grad_norm': 1.6421383619308472, 'learning_rate': 2.8255611381863955e-05, 'epoch': 0.54}

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{'loss': 2.5179, 'grad_norm': 1.7679567337036133, 'learning_rate': 2.8231937294369436e-05, 'epoch': 0.54}

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{'loss': 2.4097, 'grad_norm': 1.6806557178497314, 'learning_rate': 2.8208113696539022e-05, 'epoch': 0.55}

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{'loss': 2.4731, 'grad_norm': 1.6129519939422607, 'learning_rate': 2.8184140857560363e-05, 'epoch': 0.55}

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{'loss': 2.4975, 'grad_norm': 1.7594413757324219, 'learning_rate': 2.8160019048307417e-05, 'epoch': 0.55}

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{'loss': 2.4599, 'grad_norm': 1.6019318103790283, 'learning_rate': 2.8135748541337388e-05, 'epoch': 0.56}

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{'loss': 2.5029, 'grad_norm': 1.9792064428329468, 'learning_rate': 2.8111329610887635e-05, 'epoch': 0.56}

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{'eval_loss': 2.2388978004455566, 'eval_runtime': 187.1339, 'eval_samples_per_second': 19.141, 'eval_steps_per_second': 9.571, 'epoch': 0.56}

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{'loss': 2.5753, 'grad_norm': 1.5649456977844238, 'learning_rate': 2.8086762532872604e-05, 'epoch': 0.56}

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{'loss': 2.4456, 'grad_norm': 1.8123549222946167, 'learning_rate': 2.806204758488067e-05, 'epoch': 0.57}

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{'loss': 2.4539, 'grad_norm': 1.570407509803772, 'learning_rate': 2.803718504617103e-05, 'epoch': 0.57}

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{'loss': 2.4934, 'grad_norm': 1.8426321744918823, 'learning_rate': 2.8012175197670545e-05, 'epoch': 0.57}

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{'loss': 2.5288, 'grad_norm': 1.5444334745407104, 'learning_rate': 2.798701832197054e-05, 'epoch': 0.58}

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{'loss': 2.5055, 'grad_norm': 1.5786341428756714, 'learning_rate': 2.7961714703323652e-05, 'epoch': 0.58}

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{'loss': 2.5181, 'grad_norm': 1.6329139471054077, 'learning_rate': 2.7936264627640582e-05, 'epoch': 0.58}

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{'loss': 2.3672, 'grad_norm': 1.6482994556427002, 'learning_rate': 2.7910668382486888e-05, 'epoch': 0.59}

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{'loss': 2.4629, 'grad_norm': 1.7407352924346924, 'learning_rate': 2.788492625707971e-05, 'epoch': 0.59}

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{'loss': 2.378, 'grad_norm': 1.5726203918457031, 'learning_rate': 2.7859038542284543e-05, 'epoch': 0.59}

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{'loss': 2.5355, 'grad_norm': 1.7011955976486206, 'learning_rate': 2.7833005530611907e-05, 'epoch': 0.59}

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{'loss': 2.4952, 'grad_norm': 1.6585835218429565, 'learning_rate': 2.7806827516214062e-05, 'epoch': 0.6}

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{'loss': 2.5775, 'grad_norm': 1.693547010421753, 'learning_rate': 2.7780504794881695e-05, 'epoch': 0.6}

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{'loss': 2.3855, 'grad_norm': 1.6672039031982422, 'learning_rate': 2.7754037664040556e-05, 'epoch': 0.6}

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{'loss': 2.4996, 'grad_norm': 1.6780718564987183, 'learning_rate': 2.7727426422748106e-05, 'epoch': 0.61}

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{'loss': 2.4903, 'grad_norm': 1.8846830129623413, 'learning_rate': 2.770067137169015e-05, 'epoch': 0.61}

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{'loss': 2.419, 'grad_norm': 1.7730962038040161, 'learning_rate': 2.7673772813177416e-05, 'epoch': 0.61}

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{'loss': 2.423, 'grad_norm': 1.5394871234893799, 'learning_rate': 2.7646731051142158e-05, 'epoch': 0.62}

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{'loss': 2.3919, 'grad_norm': 1.6931231021881104, 'learning_rate': 2.761954639113472e-05, 'epoch': 0.62}

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{'loss': 2.468, 'grad_norm': 1.6402908563613892, 'learning_rate': 2.7592219140320066e-05, 'epoch': 0.62}

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{'eval_loss': 2.2277255058288574, 'eval_runtime': 186.003, 'eval_samples_per_second': 19.258, 'eval_steps_per_second': 9.629, 'epoch': 0.62}

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{'loss': 2.4652, 'grad_norm': 1.6196101903915405, 'learning_rate': 2.7564749607474335e-05, 'epoch': 0.63}

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{'loss': 2.4602, 'grad_norm': 1.816493034362793, 'learning_rate': 2.7368505254603194e-05, 'epoch': 0.65}

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{'loss': 2.4622, 'grad_norm': 1.7288777828216553, 'learning_rate': 2.733990877362945e-05, 'epoch': 0.65}

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{'loss': 2.4658, 'grad_norm': 1.6734994649887085, 'learning_rate': 2.7311172861530496e-05, 'epoch': 0.65}

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{'loss': 2.3979, 'grad_norm': 1.7032114267349243, 'learning_rate': 2.7282297842999217e-05, 'epoch': 0.66}

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{'loss': 2.4625, 'grad_norm': 1.6022025346755981, 'learning_rate': 2.7253284044300286e-05, 'epoch': 0.66}

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{'loss': 2.397, 'grad_norm': 1.780631422996521, 'learning_rate': 2.7224131793266485e-05, 'epoch': 0.66}

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{'loss': 2.511, 'grad_norm': 1.656065821647644, 'learning_rate': 2.7194841419294988e-05, 'epoch': 0.67}

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{'loss': 2.4611, 'grad_norm': 1.679142951965332, 'learning_rate': 2.716541325334367e-05, 'epoch': 0.67}

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{'loss': 2.3537, 'grad_norm': 1.556768536567688, 'learning_rate': 2.710614487711391e-05, 'epoch': 0.68}

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{'loss': 2.4366, 'grad_norm': 1.7861379384994507, 'learning_rate': 2.7076305336520847e-05, 'epoch': 0.68}

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{'loss': 2.4187, 'grad_norm': 1.6073681116104126, 'learning_rate': 2.704632934331113e-05, 'epoch': 0.68}

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{'loss': 2.3884, 'grad_norm': 1.6969093084335327, 'learning_rate': 2.7016217236189568e-05, 'epoch': 0.69}

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{'eval_loss': 2.2149178981781006, 'eval_runtime': 186.2684, 'eval_samples_per_second': 19.23, 'eval_steps_per_second': 9.615, 'epoch': 0.69}

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{'loss': 2.4119, 'grad_norm': 1.7641220092773438, 'learning_rate': 2.698596935539895e-05, 'epoch': 0.69}

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{'loss': 2.4006, 'grad_norm': 1.6142082214355469, 'learning_rate': 2.69555860427162e-05, 'epoch': 0.69}

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{'loss': 2.4359, 'grad_norm': 1.7471864223480225, 'learning_rate': 2.6580549086823728e-05, 'epoch': 0.73}

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{'loss': 2.395, 'grad_norm': 1.5806866884231567, 'learning_rate': 2.651619432939257e-05, 'epoch': 0.73}

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{'loss': 2.4691, 'grad_norm': 1.8664131164550781, 'learning_rate': 2.648382158280539e-05, 'epoch': 0.74}

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{'loss': 2.3331, 'grad_norm': 1.9516814947128296, 'learning_rate': 2.645131907819533e-05, 'epoch': 0.74}

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{'loss': 2.4321, 'grad_norm': 1.695495843887329, 'learning_rate': 2.6418687182814768e-05, 'epoch': 0.74}

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{'loss': 2.4774, 'grad_norm': 1.7093924283981323, 'learning_rate': 2.6385926265378077e-05, 'epoch': 0.75}

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{'eval_loss': 2.212017774581909, 'eval_runtime': 186.772, 'eval_samples_per_second': 19.178, 'eval_steps_per_second': 9.589, 'epoch': 0.75}

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{'loss': 2.3406, 'grad_norm': 1.7369418144226074, 'learning_rate': 2.6353036696057505e-05, 'epoch': 0.75}

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{'loss': 2.5011, 'grad_norm': 1.6926950216293335, 'learning_rate': 2.628687308971774e-05, 'epoch': 0.76}

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{'loss': 2.4059, 'grad_norm': 1.6683069467544556, 'learning_rate': 2.6253599800294522e-05, 'epoch': 0.76}

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{'loss': 2.4539, 'grad_norm': 1.693090558052063, 'learning_rate': 2.6220199354170907e-05, 'epoch': 0.76}

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{'loss': 2.3875, 'grad_norm': 1.7265130281448364, 'learning_rate': 2.6186672128745303e-05, 'epoch': 0.77}

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{'loss': 2.4148, 'grad_norm': 1.6586238145828247, 'learning_rate': 2.6153018502848598e-05, 'epoch': 0.77}

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{'loss': 2.4076, 'grad_norm': 1.6109079122543335, 'learning_rate': 2.611923885673992e-05, 'epoch': 0.77}

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{'loss': 2.3622, 'grad_norm': 1.6234124898910522, 'learning_rate': 2.6085333572102332e-05, 'epoch': 0.78}

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{'loss': 2.3832, 'grad_norm': 1.6056798696517944, 'learning_rate': 2.601714762106637e-05, 'epoch': 0.78}

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{'loss': 2.3035, 'grad_norm': 1.7792727947235107, 'learning_rate': 2.598286772511485e-05, 'epoch': 0.78}

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{'loss': 2.3418, 'grad_norm': 1.6570290327072144, 'learning_rate': 2.5948463731519415e-05, 'epoch': 0.79}

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{'loss': 2.2737, 'grad_norm': 1.7815852165222168, 'learning_rate': 2.5913936029017747e-05, 'epoch': 0.79}

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{'loss': 2.3747, 'grad_norm': 1.5905314683914185, 'learning_rate': 2.587928500774534e-05, 'epoch': 0.79}

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{'loss': 2.5824, 'grad_norm': 1.9469629526138306, 'learning_rate': 2.584451105923109e-05, 'epoch': 0.8}

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{'loss': 2.3317, 'grad_norm': 1.7645727396011353, 'learning_rate': 2.580961457639288e-05, 'epoch': 0.8}

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{'loss': 2.4819, 'grad_norm': 1.6709978580474854, 'learning_rate': 2.5774595953533122e-05, 'epoch': 0.8}

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{'loss': 2.28, 'grad_norm': 1.8447822332382202, 'learning_rate': 2.5739455586334326e-05, 'epoch': 0.81}

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{'eval_loss': 2.1978600025177, 'eval_runtime': 186.6351, 'eval_samples_per_second': 19.193, 'eval_steps_per_second': 9.596, 'epoch': 0.81}

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{'loss': 2.3493, 'grad_norm': 1.6767786741256714, 'learning_rate': 2.56688112085232e-05, 'epoch': 0.81}

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{'loss': 2.3059, 'grad_norm': 1.7984741926193237, 'learning_rate': 2.563330799613599e-05, 'epoch': 0.82}

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{'loss': 2.3733, 'grad_norm': 1.7087936401367188, 'learning_rate': 2.538144400361309e-05, 'epoch': 0.84}

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{'loss': 2.3733, 'grad_norm': 1.8013770580291748, 'learning_rate': 2.5049193386190705e-05, 'epoch': 0.87}

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{'loss': 2.3592, 'grad_norm': 1.615654706954956, 'learning_rate': 2.5011703310759635e-05, 'epoch': 0.87}

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{'loss': 2.4418, 'grad_norm': 1.6430609226226807, 'learning_rate': 2.4974100111067797e-05, 'epoch': 0.87}

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{'eval_loss': 2.1935527324676514, 'eval_runtime': 185.9895, 'eval_samples_per_second': 19.259, 'eval_steps_per_second': 9.63, 'epoch': 0.87}

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{'loss': 2.33, 'grad_norm': 1.6739248037338257, 'learning_rate': 2.4936384212001363e-05, 'epoch': 0.88}

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{'loss': 2.4381, 'grad_norm': 1.8175381422042847, 'learning_rate': 2.4898556039719898e-05, 'epoch': 0.88}

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 29%|██▉       | 2830/9636 [2:57:48<5:25:16,  2.87s/it]{'loss': 2.3894, 'grad_norm': 1.656614899635315, 'learning_rate': 2.486061602165157e-05, 'epoch': 0.88}

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{'loss': 2.3876, 'grad_norm': 1.683668613433838, 'learning_rate': 2.4822564586488323e-05, 'epoch': 0.88}

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{'loss': 2.2654, 'grad_norm': 1.7225373983383179, 'learning_rate': 2.4784402164181014e-05, 'epoch': 0.89}

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{'loss': 2.2451, 'grad_norm': 1.8138971328735352, 'learning_rate': 2.4746129185934577e-05, 'epoch': 0.89}

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{'loss': 2.4173, 'grad_norm': 1.7514212131500244, 'learning_rate': 2.470774608420313e-05, 'epoch': 0.89}

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 30%|██▉       | 2880/9636 [3:00:11<5:16:57,  2.81s/it]{'loss': 2.4491, 'grad_norm': 1.6028348207473755, 'learning_rate': 2.466925329268511e-05, 'epoch': 0.9}

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{'loss': 2.3301, 'grad_norm': 1.7095599174499512, 'learning_rate': 2.4630651246318344e-05, 'epoch': 0.9}

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{'loss': 2.3238, 'grad_norm': 1.6198616027832031, 'learning_rate': 2.4591940381275168e-05, 'epoch': 0.9}

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{'loss': 2.4062, 'grad_norm': 1.868041753768921, 'learning_rate': 2.4553121134957473e-05, 'epoch': 0.91}

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 30%|███       | 2920/9636 [3:02:04<5:17:28,  2.84s/it]{'loss': 2.2561, 'grad_norm': 1.836579442024231, 'learning_rate': 2.451419394599178e-05, 'epoch': 0.91}

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{'loss': 2.5008, 'grad_norm': 1.709510326385498, 'learning_rate': 2.447515925422427e-05, 'epoch': 0.91}

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{'loss': 2.3374, 'grad_norm': 1.8907865285873413, 'learning_rate': 2.4436017500715816e-05, 'epoch': 0.92}

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{'loss': 2.2813, 'grad_norm': 1.606278896331787, 'learning_rate': 2.439676912773702e-05, 'epoch': 0.92}

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{'loss': 2.4187, 'grad_norm': 1.7364662885665894, 'learning_rate': 2.435741457876317e-05, 'epoch': 0.92}

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{'loss': 2.3645, 'grad_norm': 1.7700560092926025, 'learning_rate': 2.431795429846928e-05, 'epoch': 0.92}

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{'loss': 2.3123, 'grad_norm': 1.602097749710083, 'learning_rate': 2.4278388732725046e-05, 'epoch': 0.93}

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{'loss': 2.3531, 'grad_norm': 1.782562494277954, 'learning_rate': 2.4238718328589794e-05, 'epoch': 0.93}

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{'eval_loss': 2.1842281818389893, 'eval_runtime': 186.3278, 'eval_samples_per_second': 19.224, 'eval_steps_per_second': 9.612, 'epoch': 0.93}

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{'loss': 2.3002, 'grad_norm': 1.8590189218521118, 'learning_rate': 2.4159064799301443e-05, 'epoch': 0.94}

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{'loss': 2.2775, 'grad_norm': 1.6306580305099487, 'learning_rate': 2.4038809461762138e-05, 'epoch': 0.95}

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{'loss': 2.2925, 'grad_norm': 1.7369295358657837, 'learning_rate': 2.3998519481508482e-05, 'epoch': 0.95}

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{'loss': 2.3829, 'grad_norm': 1.7759603261947632, 'learning_rate': 2.3958127825163086e-05, 'epoch': 0.95}

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{'loss': 2.4894, 'grad_norm': 1.9604623317718506, 'learning_rate': 2.3917634949119448e-05, 'epoch': 0.96}

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{'loss': 2.3397, 'grad_norm': 1.8533800840377808, 'learning_rate': 2.3877041310914757e-05, 'epoch': 0.96}

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{'loss': 2.3535, 'grad_norm': 1.5771902799606323, 'learning_rate': 2.383634736922475e-05, 'epoch': 0.96}

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{'loss': 2.4287, 'grad_norm': 1.8421648740768433, 'learning_rate': 2.3795553583858504e-05, 'epoch': 0.97}

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{'loss': 2.2014, 'grad_norm': 1.7496873140335083, 'learning_rate': 2.3754660415753246e-05, 'epoch': 0.97}

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{'loss': 2.4096, 'grad_norm': 1.784005045890808, 'learning_rate': 2.371366832696916e-05, 'epoch': 0.97}

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{'loss': 2.3857, 'grad_norm': 1.7489410638809204, 'learning_rate': 2.367257778068415e-05, 'epoch': 0.97}

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{'loss': 2.2581, 'grad_norm': 1.8459454774856567, 'learning_rate': 2.36313892411886e-05, 'epoch': 0.98}

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{'loss': 2.3123, 'grad_norm': 1.5754969120025635, 'learning_rate': 2.3590103173880155e-05, 'epoch': 0.98}

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{'loss': 2.3718, 'grad_norm': 1.7588070631027222, 'learning_rate': 2.354872004525844e-05, 'epoch': 0.98}

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{'loss': 2.2486, 'grad_norm': 1.8373150825500488, 'learning_rate': 2.35072403229198e-05, 'epoch': 0.99}

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{'loss': 2.2281, 'grad_norm': 1.711629033088684, 'learning_rate': 2.3465664475551994e-05, 'epoch': 0.99}

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{'loss': 2.3335, 'grad_norm': 1.7808643579483032, 'learning_rate': 2.3423992972928948e-05, 'epoch': 0.99}

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{'eval_loss': 2.1751492023468018, 'eval_runtime': 185.6366, 'eval_samples_per_second': 19.296, 'eval_steps_per_second': 9.648, 'epoch': 1.0}

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{'loss': 2.2247, 'grad_norm': 1.691108226776123, 'learning_rate': 2.3340364886411566e-05, 'epoch': 1.0}

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{'loss': 2.1469, 'grad_norm': 1.6423205137252808, 'learning_rate': 2.3298409247447897e-05, 'epoch': 1.0}

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{'loss': 2.2603, 'grad_norm': 1.6964772939682007, 'learning_rate': 2.3256359843079632e-05, 'epoch': 1.01}

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{'loss': 2.1332, 'grad_norm': 1.6238484382629395, 'learning_rate': 2.3214217148431498e-05, 'epoch': 1.01}

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 34%|███▍      | 3270/9636 [3:24:47<5:01:14,  2.84s/it]{'loss': 2.1298, 'grad_norm': 1.8673765659332275, 'learning_rate': 2.308723408983442e-05, 'epoch': 1.02}

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{'loss': 2.2663, 'grad_norm': 1.9524461030960083, 'learning_rate': 2.3002121023843935e-05, 'epoch': 1.02}

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{'loss': 2.2592, 'grad_norm': 1.9116476774215698, 'learning_rate': 2.2959428623788445e-05, 'epoch': 1.03}

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{'loss': 2.3062, 'grad_norm': 1.7437708377838135, 'learning_rate': 2.283081374709396e-05, 'epoch': 1.04}

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{'loss': 2.1624, 'grad_norm': 1.6884337663650513, 'learning_rate': 2.278776451073764e-05, 'epoch': 1.04}

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{'loss': 2.2332, 'grad_norm': 1.9451484680175781, 'learning_rate': 2.2744627278854887e-05, 'epoch': 1.04}

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 35%|███▍      | 3360/9636 [3:29:00<4:53:33,  2.81s/it]{'loss': 2.3312, 'grad_norm': 1.7573037147521973, 'learning_rate': 2.2701402538862017e-05, 'epoch': 1.05}

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{'loss': 2.096, 'grad_norm': 1.8741008043289185, 'learning_rate': 2.2658090779164102e-05, 'epoch': 1.05}

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{'loss': 2.2935, 'grad_norm': 1.7210617065429688, 'learning_rate': 2.261469248914949e-05, 'epoch': 1.05}

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{'loss': 2.2136, 'grad_norm': 1.7405593395233154, 'learning_rate': 2.257120815918423e-05, 'epoch': 1.06}

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                                                   {'eval_loss': 2.177698850631714, 'eval_runtime': 186.6389, 'eval_samples_per_second': 19.192, 'eval_steps_per_second': 9.596, 'epoch': 1.06}

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{'loss': 2.1806, 'grad_norm': 1.7319836616516113, 'learning_rate': 2.2483983345721343e-05, 'epoch': 1.06}

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{'loss': 2.2229, 'grad_norm': 1.8486459255218506, 'learning_rate': 2.244024384779454e-05, 'epoch': 1.06}

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{'loss': 2.1877, 'grad_norm': 1.7414202690124512, 'learning_rate': 2.2352513140651775e-05, 'epoch': 1.07}

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{'loss': 2.1547, 'grad_norm': 1.8453288078308105, 'learning_rate': 2.2308522922722827e-05, 'epoch': 1.07}

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{'loss': 2.2901, 'grad_norm': 1.9186712503433228, 'learning_rate': 2.226445012431509e-05, 'epoch': 1.08}

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{'loss': 2.241, 'grad_norm': 1.8060383796691895, 'learning_rate': 2.2220295243416026e-05, 'epoch': 1.08}

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{'loss': 2.1913, 'grad_norm': 1.7529008388519287, 'learning_rate': 2.2176058778940566e-05, 'epoch': 1.08}

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{'loss': 2.2465, 'grad_norm': 1.7242212295532227, 'learning_rate': 2.2131741230725472e-05, 'epoch': 1.09}

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 36%|███▋      | 3500/9636 [3:38:42<4:48:58,  2.83s/it]{'loss': 2.1703, 'grad_norm': 1.70481538772583, 'learning_rate': 2.2087343099523687e-05, 'epoch': 1.09}

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{'loss': 2.3559, 'grad_norm': 1.9725937843322754, 'learning_rate': 2.204286488699867e-05, 'epoch': 1.09}

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{'loss': 2.2594, 'grad_norm': 1.681092381477356, 'learning_rate': 2.1998307095718743e-05, 'epoch': 1.1}
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{'loss': 2.1071, 'grad_norm': 1.6210664510726929, 'learning_rate': 2.1953670229151412e-05, 'epoch': 1.1}

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{'loss': 2.1591, 'grad_norm': 1.9467002153396606, 'learning_rate': 2.190895479165765e-05, 'epoch': 1.1}

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{'loss': 2.1714, 'grad_norm': 1.9569685459136963, 'learning_rate': 2.1864161288486228e-05, 'epoch': 1.11}

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{'loss': 2.1874, 'grad_norm': 1.9129037857055664, 'learning_rate': 2.1819290225768005e-05, 'epoch': 1.11}

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{'loss': 2.1847, 'grad_norm': 2.09087872505188, 'learning_rate': 2.177434211051019e-05, 'epoch': 1.11}

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{'loss': 2.3816, 'grad_norm': 2.011531114578247, 'learning_rate': 2.1729317450590634e-05, 'epoch': 1.11}

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{'loss': 2.1677, 'grad_norm': 2.021963596343994, 'learning_rate': 2.1684216754752074e-05, 'epoch': 1.12}

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{'loss': 2.1937, 'grad_norm': 1.9257533550262451, 'learning_rate': 2.1639040532596394e-05, 'epoch': 1.12}

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                                                   {'eval_loss': 2.1782515048980713, 'eval_runtime': 187.3957, 'eval_samples_per_second': 19.115, 'eval_steps_per_second': 9.557, 'epoch': 1.12}

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{'loss': 2.1493, 'grad_norm': 1.750136137008667, 'learning_rate': 2.159378929457887e-05, 'epoch': 1.12}

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{'loss': 2.2866, 'grad_norm': 1.8407877683639526, 'learning_rate': 2.1503063817011677e-05, 'epoch': 1.13}

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{'loss': 2.2004, 'grad_norm': 1.8748254776000977, 'learning_rate': 2.1457590602587538e-05, 'epoch': 1.13}

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{'loss': 2.2952, 'grad_norm': 1.7178046703338623, 'learning_rate': 2.1366425791507597e-05, 'epoch': 1.14}

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{'loss': 2.2226, 'grad_norm': 1.7972931861877441, 'learning_rate': 2.1320735224941444e-05, 'epoch': 1.14}

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{'loss': 2.1677, 'grad_norm': 1.8289620876312256, 'learning_rate': 2.1274973239109488e-05, 'epoch': 1.15}

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{'loss': 2.2194, 'grad_norm': 1.746747374534607, 'learning_rate': 2.1229140351085672e-05, 'epoch': 1.15}

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{'loss': 2.0357, 'grad_norm': 1.837302565574646, 'learning_rate': 2.118323707874508e-05, 'epoch': 1.15}

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{'loss': 2.2001, 'grad_norm': 1.8409298658370972, 'learning_rate': 2.1137263940758055e-05, 'epoch': 1.16}

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{'loss': 2.2699, 'grad_norm': 1.7893702983856201, 'learning_rate': 2.1091221456584385e-05, 'epoch': 1.16}

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{'loss': 2.152, 'grad_norm': 1.6025689840316772, 'learning_rate': 2.1045110146467416e-05, 'epoch': 1.16}

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{'loss': 2.1633, 'grad_norm': 1.8550913333892822, 'learning_rate': 2.0998930531428168e-05, 'epoch': 1.16}

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{'loss': 2.2064, 'grad_norm': 1.6826316118240356, 'learning_rate': 2.0952683133259452e-05, 'epoch': 1.17}

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{'loss': 2.2589, 'grad_norm': 1.8049746751785278, 'learning_rate': 2.090636847451997e-05, 'epoch': 1.17}

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{'loss': 2.043, 'grad_norm': 1.7318333387374878, 'learning_rate': 2.085998707852842e-05, 'epoch': 1.17}

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{'loss': 2.1275, 'grad_norm': 1.6947782039642334, 'learning_rate': 2.0813539469357575e-05, 'epoch': 1.18}

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{'loss': 2.2461, 'grad_norm': 1.9668861627578735, 'learning_rate': 2.0767026171828373e-05, 'epoch': 1.18}

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{'loss': 2.3779, 'grad_norm': 1.9233325719833374, 'learning_rate': 2.0720447711503967e-05, 'epoch': 1.18}

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{'eval_loss': 2.174816608428955, 'eval_runtime': 186.9839, 'eval_samples_per_second': 19.157, 'eval_steps_per_second': 9.578, 'epoch': 1.18}

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{'loss': 2.268, 'grad_norm': 1.8564664125442505, 'learning_rate': 2.0673804614683803e-05, 'epoch': 1.19}

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{'loss': 2.3248, 'grad_norm': 1.7367719411849976, 'learning_rate': 2.006180320429886e-05, 'epoch': 1.23}

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                                                       {'loss': 2.1018, 'grad_norm': 1.717659592628479, 'learning_rate': 1.9919156723822132e-05, 'epoch': 1.24}


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{'loss': 2.3476, 'grad_norm': 1.8155814409255981, 'learning_rate': 1.987149601491437e-05, 'epoch': 1.24}

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{'loss': 2.2534, 'grad_norm': 1.854964256286621, 'learning_rate': 1.9823780261987775e-05, 'epoch': 1.24}

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 42%|████▏     | 4000/9636 [4:08:29<4:23:29,  2.81s/it]{'loss': 2.1434, 'grad_norm': 1.848199725151062, 'learning_rate': 1.97760100041923e-05, 'epoch': 1.25}


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{'eval_loss': 2.168745517730713, 'eval_runtime': 186.1097, 'eval_samples_per_second': 19.247, 'eval_steps_per_second': 9.623, 'epoch': 1.25}

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{'loss': 2.2479, 'grad_norm': 2.026099681854248, 'learning_rate': 1.9198712603755455e-05, 'epoch': 1.28}

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{'loss': 2.1742, 'grad_norm': 1.8090070486068726, 'learning_rate': 1.9150283117181054e-05, 'epoch': 1.29}

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{'loss': 2.2051, 'grad_norm': 1.8644742965698242, 'learning_rate': 1.9101806735718236e-05, 'epoch': 1.29}

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{'loss': 2.1706, 'grad_norm': 1.584896206855774, 'learning_rate': 1.9053284007111457e-05, 'epoch': 1.29}

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{'loss': 2.166, 'grad_norm': 1.8123021125793457, 'learning_rate': 1.9004715479628817e-05, 'epoch': 1.3}

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{'loss': 2.273, 'grad_norm': 1.776248574256897, 'learning_rate': 1.8956101702055946e-05, 'epoch': 1.3}

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{'loss': 2.162, 'grad_norm': 1.8708800077438354, 'learning_rate': 1.890744322368975e-05, 'epoch': 1.3}

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{'loss': 2.1653, 'grad_norm': 1.7192076444625854, 'learning_rate': 1.8858740594332217e-05, 'epoch': 1.3}

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{'loss': 2.2671, 'grad_norm': 1.948662519454956, 'learning_rate': 1.8809994364284203e-05, 'epoch': 1.31}

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{'eval_loss': 2.1649458408355713, 'eval_runtime': 188.153, 'eval_samples_per_second': 19.038, 'eval_steps_per_second': 9.519, 'epoch': 1.31}

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{'loss': 2.1795, 'grad_norm': 1.902723789215088, 'learning_rate': 1.876120508433923e-05, 'epoch': 1.31}

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{'loss': 2.2765, 'grad_norm': 1.7966811656951904, 'learning_rate': 1.8712373305777227e-05, 'epoch': 1.31}

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                                                       {'loss': 2.2583, 'grad_norm': 1.9569804668426514, 'learning_rate': 1.8663499580358355e-05, 'epoch': 1.32}


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{'loss': 2.2715, 'grad_norm': 2.0104942321777344, 'learning_rate': 1.861458446031671e-05, 'epoch': 1.32}

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{'loss': 2.2631, 'grad_norm': 1.7763190269470215, 'learning_rate': 1.8565628498354132e-05, 'epoch': 1.32}

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{'loss': 2.1821, 'grad_norm': 1.9662755727767944, 'learning_rate': 1.8516632247633934e-05, 'epoch': 1.33}

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{'loss': 2.2418, 'grad_norm': 1.9606853723526, 'learning_rate': 1.8271066054900467e-05, 'epoch': 1.34}

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{'loss': 2.2091, 'grad_norm': 2.049952268600464, 'learning_rate': 1.8221839713118975e-05, 'epoch': 1.35}

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{'loss': 2.1194, 'grad_norm': 1.918655276298523, 'learning_rate': 1.8172576967118882e-05, 'epoch': 1.35}

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{'loss': 2.28, 'grad_norm': 2.0730695724487305, 'learning_rate': 1.8123278373529925e-05, 'epoch': 1.35}

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{'loss': 2.3302, 'grad_norm': 1.8912397623062134, 'learning_rate': 1.8073944489386892e-05, 'epoch': 1.35}

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{'loss': 2.2991, 'grad_norm': 1.8644509315490723, 'learning_rate': 1.8024575872123305e-05, 'epoch': 1.36}

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{'loss': 2.2493, 'grad_norm': 1.9072916507720947, 'learning_rate': 1.797517307956516e-05, 'epoch': 1.36}

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{'loss': 2.1673, 'grad_norm': 1.8551114797592163, 'learning_rate': 1.792573666992461e-05, 'epoch': 1.36}

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{'loss': 2.22, 'grad_norm': 1.9573915004730225, 'learning_rate': 1.7876267201793636e-05, 'epoch': 1.37}

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{'loss': 2.162, 'grad_norm': 1.8498539924621582, 'learning_rate': 1.7826765234137773e-05, 'epoch': 1.37}

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{'eval_loss': 2.1627304553985596, 'eval_runtime': 186.8977, 'eval_samples_per_second': 19.166, 'eval_steps_per_second': 9.583, 'epoch': 1.37}

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{'loss': 2.2551, 'grad_norm': 1.8765219449996948, 'learning_rate': 1.7777231326289764e-05, 'epoch': 1.37}

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{'loss': 2.2135, 'grad_norm': 1.8087592124938965, 'learning_rate': 1.772766603794325e-05, 'epoch': 1.38}

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{'loss': 2.1682, 'grad_norm': 1.8149222135543823, 'learning_rate': 1.7080716942336813e-05, 'epoch': 1.42}

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 47%|████▋     | 4560/9636 [4:44:15<3:57:23,  2.81s/it]{'loss': 2.1372, 'grad_norm': 1.8866515159606934, 'learning_rate': 1.70307712818719e-05, 'epoch': 1.42}

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{'loss': 2.2686, 'grad_norm': 1.7960288524627686, 'learning_rate': 1.6980802675311512e-05, 'epoch': 1.42}

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{'loss': 2.2137, 'grad_norm': 1.9247220754623413, 'learning_rate': 1.6930811687261047e-05, 'epoch': 1.43}

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 48%|████▊     | 4590/9636 [4:45:40<3:59:16,  2.85s/it]{'loss': 2.1506, 'grad_norm': 1.749624252319336, 'learning_rate': 1.688079888257878e-05, 'epoch': 1.43}

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{'loss': 2.247, 'grad_norm': 2.3330678939819336, 'learning_rate': 1.6830764826369517e-05, 'epoch': 1.43}

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{'eval_loss': 2.1602249145507812, 'eval_runtime': 187.6493, 'eval_samples_per_second': 19.089, 'eval_steps_per_second': 9.544, 'epoch': 1.43}

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{'loss': 2.118, 'grad_norm': 1.7233885526657104, 'learning_rate': 1.6780710083978168e-05, 'epoch': 1.44}

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{'loss': 2.241, 'grad_norm': 1.8815096616744995, 'learning_rate': 1.67306352209834e-05, 'epoch': 1.44}

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{'loss': 2.2602, 'grad_norm': 1.7120871543884277, 'learning_rate': 1.6128373619728846e-05, 'epoch': 1.48}

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{'loss': 2.2111, 'grad_norm': 1.7686936855316162, 'learning_rate': 1.6078088751256545e-05, 'epoch': 1.48}

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{'loss': 2.1642, 'grad_norm': 1.7783958911895752, 'learning_rate': 1.6027791701241384e-05, 'epoch': 1.48}

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{'loss': 2.2427, 'grad_norm': 1.940295934677124, 'learning_rate': 1.5977483037999895e-05, 'epoch': 1.49}

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{'loss': 2.253, 'grad_norm': 1.9089666604995728, 'learning_rate': 1.592716332997985e-05, 'epoch': 1.49}

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{'loss': 2.2657, 'grad_norm': 1.9896278381347656, 'learning_rate': 1.58768331457538e-05, 'epoch': 1.49}

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{'loss': 2.1836, 'grad_norm': 1.9035561084747314, 'learning_rate': 1.5826493054012685e-05, 'epoch': 1.49}

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                                                   {'eval_loss': 2.1535305976867676, 'eval_runtime': 186.7027, 'eval_samples_per_second': 19.186, 'eval_steps_per_second': 9.593, 'epoch': 1.49}

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{'loss': 2.1752, 'grad_norm': 1.9079148769378662, 'learning_rate': 1.5776143623559375e-05, 'epoch': 1.5}

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{'loss': 2.1406, 'grad_norm': 2.0042216777801514, 'learning_rate': 1.572578542330227e-05, 'epoch': 1.5}

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{'loss': 2.2328, 'grad_norm': 1.9387189149856567, 'learning_rate': 1.5675419022248866e-05, 'epoch': 1.5}

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{'loss': 2.1934, 'grad_norm': 1.889387845993042, 'learning_rate': 1.5171429207542399e-05, 'epoch': 1.54}

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{'loss': 2.2072, 'grad_norm': 1.9128648042678833, 'learning_rate': 1.512101017412667e-05, 'epoch': 1.54}

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{'loss': 2.2138, 'grad_norm': 1.9912803173065186, 'learning_rate': 1.5070589773392509e-05, 'epoch': 1.54}

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{'loss': 2.1969, 'grad_norm': 1.8814982175827026, 'learning_rate': 1.502016857505022e-05, 'epoch': 1.54}

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{'loss': 2.2051, 'grad_norm': 2.025148868560791, 'learning_rate': 1.4969747148819125e-05, 'epoch': 1.55}

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{'loss': 2.0761, 'grad_norm': 1.8531551361083984, 'learning_rate': 1.491932606442111e-05, 'epoch': 1.55}

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{'loss': 2.2275, 'grad_norm': 1.9984017610549927, 'learning_rate': 1.4868905891574212e-05, 'epoch': 1.55}

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{'loss': 2.2316, 'grad_norm': 1.944765329360962, 'learning_rate': 1.4818487199986163e-05, 'epoch': 1.56}

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{'eval_loss': 2.1517460346221924, 'eval_runtime': 186.0418, 'eval_samples_per_second': 19.254, 'eval_steps_per_second': 9.627, 'epoch': 1.56}

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{'loss': 2.062, 'grad_norm': 1.9091532230377197, 'learning_rate': 1.4768070559347954e-05, 'epoch': 1.56}

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{'loss': 2.1606, 'grad_norm': 1.846157193183899, 'learning_rate': 1.4717656539327405e-05, 'epoch': 1.56}

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{'loss': 2.229, 'grad_norm': 1.9830635786056519, 'learning_rate': 1.4415259349031034e-05, 'epoch': 1.58}

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{'loss': 2.228, 'grad_norm': 1.923624038696289, 'learning_rate': 1.4364879620734837e-05, 'epoch': 1.58}

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{'loss': 2.2358, 'grad_norm': 2.0061886310577393, 'learning_rate': 1.4264142262372993e-05, 'epoch': 1.59}

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{'loss': 2.3193, 'grad_norm': 1.8641676902770996, 'learning_rate': 1.4163438162338872e-05, 'epoch': 1.6}

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{'loss': 2.2583, 'grad_norm': 1.959388017654419, 'learning_rate': 1.4113100006600024e-05, 'epoch': 1.6}

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{'loss': 2.2259, 'grad_norm': 1.858593463897705, 'learning_rate': 1.3962147941509425e-05, 'epoch': 1.61}

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{'loss': 2.2623, 'grad_norm': 2.126803159713745, 'learning_rate': 1.3911853282341819e-05, 'epoch': 1.61}

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{'loss': 2.2302, 'grad_norm': 1.7210536003112793, 'learning_rate': 1.3861570918364076e-05, 'epoch': 1.62}

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{'loss': 2.1863, 'grad_norm': 2.0012059211730957, 'learning_rate': 1.3811301417726797e-05, 'epoch': 1.62}

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{'eval_loss': 2.1487014293670654, 'eval_runtime': 187.2685, 'eval_samples_per_second': 19.128, 'eval_steps_per_second': 9.564, 'epoch': 1.62}

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{'loss': 2.1313, 'grad_norm': 1.9054677486419678, 'learning_rate': 1.3761045348435233e-05, 'epoch': 1.62}

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{'loss': 2.1995, 'grad_norm': 1.8619773387908936, 'learning_rate': 1.371080327834288e-05, 'epoch': 1.63}

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{'loss': 2.239, 'grad_norm': 1.7204811573028564, 'learning_rate': 1.356016673938482e-05, 'epoch': 1.63}

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{'loss': 2.1476, 'grad_norm': 1.7802027463912964, 'learning_rate': 1.3509986341364423e-05, 'epoch': 1.64}

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{'loss': 2.1527, 'grad_norm': 1.7836194038391113, 'learning_rate': 1.3409676620029004e-05, 'epoch': 1.64}

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{'loss': 2.2035, 'grad_norm': 1.804641604423523, 'learning_rate': 1.335954843013381e-05, 'epoch': 1.65}

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{'loss': 2.1584, 'grad_norm': 2.0027246475219727, 'learning_rate': 1.3309438776032713e-05, 'epoch': 1.65}

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{'loss': 2.1627, 'grad_norm': 1.988714575767517, 'learning_rate': 1.3259348223924842e-05, 'epoch': 1.65}

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{'loss': 2.2415, 'grad_norm': 2.026686429977417, 'learning_rate': 1.3209277339793465e-05, 'epoch': 1.66}

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{'loss': 2.1929, 'grad_norm': 1.7515552043914795, 'learning_rate': 1.3159226689399628e-05, 'epoch': 1.66}

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 55%|█████▌    | 5340/9636 [5:33:24<3:20:54,  2.81s/it]{'loss': 2.1383, 'grad_norm': 1.6993639469146729, 'learning_rate': 1.310919683827576e-05, 'epoch': 1.66}

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 56%|█████▌    | 5350/9636 [5:33:51<3:18:12,  2.77s/it]{'loss': 2.1797, 'grad_norm': 2.078202962875366, 'learning_rate': 1.3059188351719267e-05, 'epoch': 1.67}

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{'loss': 2.2383, 'grad_norm': 1.8755640983581543, 'learning_rate': 1.3009201794786151e-05, 'epoch': 1.67}

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{'loss': 2.2504, 'grad_norm': 1.7635575532913208, 'learning_rate': 1.2959237732284636e-05, 'epoch': 1.67}

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{'loss': 2.2093, 'grad_norm': 1.8852430582046509, 'learning_rate': 1.2909296728768761e-05, 'epoch': 1.68}

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{'loss': 2.1835, 'grad_norm': 1.9516375064849854, 'learning_rate': 1.2859379348532033e-05, 'epoch': 1.68}

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{'loss': 2.1054, 'grad_norm': 1.826511263847351, 'learning_rate': 1.2809486155601028e-05, 'epoch': 1.68}

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{'eval_loss': 2.1453726291656494, 'eval_runtime': 187.1989, 'eval_samples_per_second': 19.135, 'eval_steps_per_second': 9.567, 'epoch': 1.68}

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{'loss': 2.0745, 'grad_norm': 1.8125993013381958, 'learning_rate': 1.2709774586389629e-05, 'epoch': 1.69}

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{'loss': 2.1748, 'grad_norm': 1.878101110458374, 'learning_rate': 1.2659957336770423e-05, 'epoch': 1.69}

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{'loss': 2.1658, 'grad_norm': 1.9321974515914917, 'learning_rate': 1.2610166527766585e-05, 'epoch': 1.69}

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{'loss': 2.1734, 'grad_norm': 1.898826241493225, 'learning_rate': 1.2560402721974543e-05, 'epoch': 1.7}

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{'loss': 2.2971, 'grad_norm': 1.687078595161438, 'learning_rate': 1.2510666481685595e-05, 'epoch': 1.7}

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{'loss': 2.2052, 'grad_norm': 1.9595155715942383, 'learning_rate': 1.2460958368879584e-05, 'epoch': 1.7}

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{'loss': 2.3198, 'grad_norm': 1.8698939085006714, 'learning_rate': 1.2411278945218536e-05, 'epoch': 1.71}

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{'loss': 2.1263, 'grad_norm': 1.883823037147522, 'learning_rate': 1.23616287720403e-05, 'epoch': 1.71}

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{'loss': 2.1441, 'grad_norm': 1.8345446586608887, 'learning_rate': 1.231200841035223e-05, 'epoch': 1.71}

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{'loss': 2.187, 'grad_norm': 1.9198532104492188, 'learning_rate': 1.2262418420824824e-05, 'epoch': 1.72}

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{'loss': 2.2187, 'grad_norm': 1.9385135173797607, 'learning_rate': 1.2212859363785417e-05, 'epoch': 1.72}

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{'loss': 2.2019, 'grad_norm': 2.016204357147217, 'learning_rate': 1.2163331799211802e-05, 'epoch': 1.72}

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                                                       {'loss': 2.1123, 'grad_norm': 1.9274944067001343, 'learning_rate': 1.211383628672596e-05, 'epoch': 1.72}

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{'loss': 2.1853, 'grad_norm': 1.8069316148757935, 'learning_rate': 1.206437338558769e-05, 'epoch': 1.73}

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{'loss': 2.1356, 'grad_norm': 2.0978035926818848, 'learning_rate': 1.2014943654688323e-05, 'epoch': 1.73}

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{'loss': 2.2537, 'grad_norm': 1.7230627536773682, 'learning_rate': 1.1965547652544389e-05, 'epoch': 1.73}

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{'loss': 2.0898, 'grad_norm': 1.829563856124878, 'learning_rate': 1.1916185937291298e-05, 'epoch': 1.74}

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{'loss': 2.1386, 'grad_norm': 1.9883064031600952, 'learning_rate': 1.186685906667706e-05, 'epoch': 1.74}

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{'loss': 2.1429, 'grad_norm': 1.7392703294754028, 'learning_rate': 1.181756759805597e-05, 'epoch': 1.74}

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{'eval_loss': 2.142296314239502, 'eval_runtime': 186.2308, 'eval_samples_per_second': 19.234, 'eval_steps_per_second': 9.617, 'epoch': 1.74}

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{'loss': 2.0796, 'grad_norm': 1.8372576236724854, 'learning_rate': 1.176831208838229e-05, 'epoch': 1.75}

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{'loss': 2.1463, 'grad_norm': 2.1093006134033203, 'learning_rate': 1.1522593388831184e-05, 'epoch': 1.76}

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{'loss': 2.1399, 'grad_norm': 2.1678237915039062, 'learning_rate': 1.1424577068444925e-05, 'epoch': 1.77}

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{'loss': 2.1007, 'grad_norm': 1.9082036018371582, 'learning_rate': 1.1375629230628143e-05, 'epoch': 1.77}

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{'loss': 2.1526, 'grad_norm': 2.1409993171691895, 'learning_rate': 1.1326722345309784e-05, 'epoch': 1.77}

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{'loss': 2.1826, 'grad_norm': 2.0341575145721436, 'learning_rate': 1.127785696509863e-05, 'epoch': 1.78}

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{'loss': 2.1299, 'grad_norm': 1.8887345790863037, 'learning_rate': 1.1229033642134507e-05, 'epoch': 1.78}

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{'loss': 2.2729, 'grad_norm': 1.9193353652954102, 'learning_rate': 1.1180252928082004e-05, 'epoch': 1.78}

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{'loss': 2.1393, 'grad_norm': 1.9019443988800049, 'learning_rate': 1.1131515374124284e-05, 'epoch': 1.79}

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{'loss': 2.1818, 'grad_norm': 1.9139424562454224, 'learning_rate': 1.1034171948781204e-05, 'epoch': 1.79}

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{'loss': 2.1829, 'grad_norm': 2.128981113433838, 'learning_rate': 1.0985567177298902e-05, 'epoch': 1.8}

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 60%|█████▉    | 5780/9636 [6:00:19<2:58:56,  2.78s/it]{'loss': 2.1965, 'grad_norm': 1.8457400798797607, 'learning_rate': 1.0937007765705053e-05, 'epoch': 1.8}

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{'loss': 2.1512, 'grad_norm': 2.009584903717041, 'learning_rate': 1.0888494262682282e-05, 'epoch': 1.8}

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{'loss': 2.2631, 'grad_norm': 1.9650099277496338, 'learning_rate': 1.084002721639446e-05, 'epoch': 1.81}

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{'eval_loss': 2.1379523277282715, 'eval_runtime': 186.0225, 'eval_samples_per_second': 19.256, 'eval_steps_per_second': 9.628, 'epoch': 1.81}

                                                   

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{'loss': 2.2394, 'grad_norm': 1.998816728591919, 'learning_rate': 1.0791607174480552e-05, 'epoch': 1.81}

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{'loss': 2.11, 'grad_norm': 1.9277459383010864, 'learning_rate': 1.0743234684048408e-05, 'epoch': 1.81}

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{'loss': 2.1483, 'grad_norm': 1.8757860660552979, 'learning_rate': 1.0502104614932525e-05, 'epoch': 1.83}

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{'loss': 2.084, 'grad_norm': 1.9532970190048218, 'learning_rate': 1.045402889213533e-05, 'epoch': 1.83}

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{'loss': 2.1624, 'grad_norm': 2.106018304824829, 'learning_rate': 1.0406004535185187e-05, 'epoch': 1.83}

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{'loss': 2.2177, 'grad_norm': 1.852169394493103, 'learning_rate': 1.0310112088787241e-05, 'epoch': 1.84}

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{'loss': 2.241, 'grad_norm': 1.925835371017456, 'learning_rate': 1.0262245082847586e-05, 'epoch': 1.84}

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{'loss': 2.2388, 'grad_norm': 2.123832941055298, 'learning_rate': 1.0214431609759034e-05, 'epoch': 1.85}

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{'loss': 2.2275, 'grad_norm': 2.049870014190674, 'learning_rate': 1.0166672209775696e-05, 'epoch': 1.85}

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{'loss': 2.1149, 'grad_norm': 1.9785819053649902, 'learning_rate': 1.0118967422540689e-05, 'epoch': 1.85}

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{'loss': 2.1437, 'grad_norm': 1.85884428024292, 'learning_rate': 1.0071317787080055e-05, 'epoch': 1.86}

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{'loss': 2.1219, 'grad_norm': 1.8048478364944458, 'learning_rate': 1.002372384179666e-05, 'epoch': 1.86}

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{'loss': 2.1713, 'grad_norm': 1.9278430938720703, 'learning_rate': 9.976186124464122e-06, 'epoch': 1.86}

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{'loss': 2.1895, 'grad_norm': 1.9087837934494019, 'learning_rate': 9.928705172220725e-06, 'epoch': 1.87}

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{'loss': 2.1223, 'grad_norm': 1.9364292621612549, 'learning_rate': 9.88128152156335e-06, 'epoch': 1.87}

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                                                   {'eval_loss': 2.1372644901275635, 'eval_runtime': 186.2838, 'eval_samples_per_second': 19.229, 'eval_steps_per_second': 9.614, 'epoch': 1.87}

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{'loss': 2.0894, 'grad_norm': 1.8419233560562134, 'learning_rate': 9.786608267750837e-06, 'epoch': 1.87}

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 63%|██████▎   | 6030/9636 [6:18:19<2:55:57,  2.93s/it]{'loss': 2.2077, 'grad_norm': 1.9961693286895752, 'learning_rate': 9.739359734327942e-06, 'epoch': 1.88}

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{'loss': 2.1604, 'grad_norm': 1.7826392650604248, 'learning_rate': 9.692170641943473e-06, 'epoch': 1.88}

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{'loss': 2.1385, 'grad_norm': 1.8529682159423828, 'learning_rate': 9.645041523796529e-06, 'epoch': 1.88}

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 63%|██████▎   | 6060/9636 [6:19:43<2:48:19,  2.82s/it]{'loss': 2.0226, 'grad_norm': 1.795120120048523, 'learning_rate': 9.597972912408543e-06, 'epoch': 1.89}

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{'loss': 2.256, 'grad_norm': 1.9127410650253296, 'learning_rate': 9.550965339617286e-06, 'epoch': 1.89}

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{'loss': 2.0387, 'grad_norm': 1.982864260673523, 'learning_rate': 9.504019336570821e-06, 'epoch': 1.89}

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 63%|██████▎   | 6090/9636 [6:21:07<2:47:35,  2.84s/it]{'loss': 2.1186, 'grad_norm': 1.7545245885849, 'learning_rate': 9.457135433721535e-06, 'epoch': 1.9}

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{'loss': 2.1322, 'grad_norm': 1.8655184507369995, 'learning_rate': 9.410314160820139e-06, 'epoch': 1.9}

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{'loss': 2.1993, 'grad_norm': 1.7532259225845337, 'learning_rate': 9.36355604690965e-06, 'epoch': 1.9}

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{'loss': 2.2138, 'grad_norm': 1.9813977479934692, 'learning_rate': 9.31686162031947e-06, 'epoch': 1.91}

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{'loss': 2.3128, 'grad_norm': 2.090970754623413, 'learning_rate': 9.270231408659356e-06, 'epoch': 1.91}

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{'loss': 2.178, 'grad_norm': 1.8730930089950562, 'learning_rate': 9.223665938813514e-06, 'epoch': 1.91}

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{'loss': 2.3001, 'grad_norm': 1.9716297388076782, 'learning_rate': 9.177165736934595e-06, 'epoch': 1.91}

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{'loss': 2.1948, 'grad_norm': 1.9178208112716675, 'learning_rate': 9.130731328437796e-06, 'epoch': 1.92}

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{'loss': 2.1827, 'grad_norm': 2.0169222354888916, 'learning_rate': 9.08436323799488e-06, 'epoch': 1.92}

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{'loss': 2.1614, 'grad_norm': 1.8405377864837646, 'learning_rate': 9.038061989528288e-06, 'epoch': 1.92}

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{'loss': 2.144, 'grad_norm': 1.8201110363006592, 'learning_rate': 8.991828106205191e-06, 'epoch': 1.93}

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{'loss': 2.0716, 'grad_norm': 1.9263516664505005, 'learning_rate': 8.945662110431583e-06, 'epoch': 1.93}

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{'eval_loss': 2.1339869499206543, 'eval_runtime': 186.5706, 'eval_samples_per_second': 19.199, 'eval_steps_per_second': 9.6, 'epoch': 1.93}

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{'loss': 2.1273, 'grad_norm': 1.818406105041504, 'learning_rate': 8.899564523846393e-06, 'epoch': 1.93}

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{'loss': 2.1688, 'grad_norm': 1.9848748445510864, 'learning_rate': 8.807576660926232e-06, 'epoch': 1.94}

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{'loss': 2.1495, 'grad_norm': 2.0749664306640625, 'learning_rate': 8.76168742398073e-06, 'epoch': 1.94}

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{'loss': 2.2325, 'grad_norm': 1.8367384672164917, 'learning_rate': 8.715868674990832e-06, 'epoch': 1.95}

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{'loss': 2.1288, 'grad_norm': 2.0888304710388184, 'learning_rate': 8.670120931671864e-06, 'epoch': 1.95}

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{'loss': 2.177, 'grad_norm': 1.7537665367126465, 'learning_rate': 8.624444710936828e-06, 'epoch': 1.95}

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{'loss': 2.1463, 'grad_norm': 1.8643215894699097, 'learning_rate': 8.578840528890575e-06, 'epoch': 1.96}

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{'loss': 2.1318, 'grad_norm': 2.091330051422119, 'learning_rate': 8.53330890082398e-06, 'epoch': 1.96}

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{'loss': 2.13, 'grad_norm': 1.8521997928619385, 'learning_rate': 8.48785034120813e-06, 'epoch': 1.96}

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{'loss': 2.1945, 'grad_norm': 1.8444541692733765, 'learning_rate': 8.442465363688477e-06, 'epoch': 1.96}

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{'loss': 2.1426, 'grad_norm': 2.184130907058716, 'learning_rate': 8.397154481079063e-06, 'epoch': 1.97}

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{'loss': 2.1917, 'grad_norm': 1.9468661546707153, 'learning_rate': 8.351918205356717e-06, 'epoch': 1.97}

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{'loss': 2.1045, 'grad_norm': 1.8586384057998657, 'learning_rate': 8.30675704765526e-06, 'epoch': 1.97}

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{'loss': 2.1405, 'grad_norm': 1.809068202972412, 'learning_rate': 8.261671518259762e-06, 'epoch': 1.98}

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{'loss': 2.1003, 'grad_norm': 1.9178301095962524, 'learning_rate': 8.21666212660073e-06, 'epoch': 1.98}

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{'loss': 2.1054, 'grad_norm': 1.8541120290756226, 'learning_rate': 8.171729381248389e-06, 'epoch': 1.98}

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{'loss': 2.1141, 'grad_norm': 1.9944227933883667, 'learning_rate': 8.126873789906905e-06, 'epoch': 1.99}

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{'loss': 2.2919, 'grad_norm': 1.9889962673187256, 'learning_rate': 8.082095859408693e-06, 'epoch': 1.99}

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{'loss': 2.2164, 'grad_norm': 1.9858745336532593, 'learning_rate': 8.03739609570864e-06, 'epoch': 1.99}

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{'eval_loss': 2.131075382232666, 'eval_runtime': 186.8359, 'eval_samples_per_second': 19.172, 'eval_steps_per_second': 9.586, 'epoch': 1.99}

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{'loss': 2.2098, 'grad_norm': 1.8559666872024536, 'learning_rate': 7.992775003878414e-06, 'epoch': 2.0}

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{'loss': 2.0232, 'grad_norm': 1.8679330348968506, 'learning_rate': 7.948233088100764e-06, 'epoch': 2.0}

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{'loss': 2.1013, 'grad_norm': 1.855650782585144, 'learning_rate': 7.903770851663807e-06, 'epoch': 2.0}

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{'loss': 2.0685, 'grad_norm': 1.8692822456359863, 'learning_rate': 7.859388796955331e-06, 'epoch': 2.0}

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{'loss': 2.232, 'grad_norm': 1.9403538703918457, 'learning_rate': 7.815087425457169e-06, 'epoch': 2.01}

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{'loss': 2.1093, 'grad_norm': 2.27012038230896, 'learning_rate': 7.770867237739468e-06, 'epoch': 2.01}

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{'loss': 2.0312, 'grad_norm': 1.893978238105774, 'learning_rate': 7.726728733455068e-06, 'epoch': 2.01}

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{'loss': 1.976, 'grad_norm': 2.0077948570251465, 'learning_rate': 7.68267241133387e-06, 'epoch': 2.02}

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{'loss': 2.0138, 'grad_norm': 1.9300124645233154, 'learning_rate': 7.638698769177163e-06, 'epoch': 2.02}

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{'loss': 1.9417, 'grad_norm': 1.9547919034957886, 'learning_rate': 7.594808303852014e-06, 'epoch': 2.02}

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{'loss': 2.1694, 'grad_norm': 2.012920379638672, 'learning_rate': 7.5510015112856876e-06, 'epoch': 2.03}

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{'loss': 1.9612, 'grad_norm': 2.05037260055542, 'learning_rate': 7.507278886459982e-06, 'epoch': 2.03}

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{'loss': 2.0368, 'grad_norm': 2.299489736557007, 'learning_rate': 7.463640923405681e-06, 'epoch': 2.03}

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{'loss': 2.064, 'grad_norm': 2.2976455688476562, 'learning_rate': 7.420088115196954e-06, 'epoch': 2.04}

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{'loss': 1.9762, 'grad_norm': 1.942755103111267, 'learning_rate': 7.376620953945793e-06, 'epoch': 2.04}

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{'loss': 2.0997, 'grad_norm': 1.9518795013427734, 'learning_rate': 7.333239930796439e-06, 'epoch': 2.04}

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{'loss': 2.0873, 'grad_norm': 2.359328031539917, 'learning_rate': 7.289945535919856e-06, 'epoch': 2.05}

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{'loss': 2.0084, 'grad_norm': 2.1530492305755615, 'learning_rate': 7.246738258508166e-06, 'epoch': 2.05}

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{'loss': 2.0058, 'grad_norm': 1.9220505952835083, 'learning_rate': 7.203618586769127e-06, 'epoch': 2.05}

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{'loss': 2.0057, 'grad_norm': 2.104837656021118, 'learning_rate': 7.160587007920647e-06, 'epoch': 2.05}

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{'eval_loss': 2.1494638919830322, 'eval_runtime': 187.5879, 'eval_samples_per_second': 19.095, 'eval_steps_per_second': 9.548, 'epoch': 2.05}

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{'loss': 2.0698, 'grad_norm': 2.055436372756958, 'learning_rate': 7.117644008185232e-06, 'epoch': 2.06}

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{'loss': 2.1513, 'grad_norm': 1.9823698997497559, 'learning_rate': 7.074790072784514e-06, 'epoch': 2.06}

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{'loss': 2.0188, 'grad_norm': 2.0086565017700195, 'learning_rate': 7.032025685933793e-06, 'epoch': 2.06}

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{'loss': 2.0823, 'grad_norm': 2.105180025100708, 'learning_rate': 6.989351330836517e-06, 'epoch': 2.07}

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{'loss': 1.993, 'grad_norm': 1.8071157932281494, 'learning_rate': 6.9467674896788565e-06, 'epoch': 2.07}

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{'loss': 2.057, 'grad_norm': 2.1436681747436523, 'learning_rate': 6.90427464362424e-06, 'epoch': 2.07}

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{'loss': 2.0062, 'grad_norm': 1.9967433214187622, 'learning_rate': 6.861873272807944e-06, 'epoch': 2.08}

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{'loss': 1.9916, 'grad_norm': 2.0757875442504883, 'learning_rate': 6.8195638563316245e-06, 'epoch': 2.08}

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{'loss': 2.0002, 'grad_norm': 2.111898899078369, 'learning_rate': 6.7773468722579335e-06, 'epoch': 2.08}

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{'loss': 2.0372, 'grad_norm': 2.0435588359832764, 'learning_rate': 6.693192108341626e-06, 'epoch': 2.09}

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{'loss': 2.036, 'grad_norm': 2.1582906246185303, 'learning_rate': 6.651255279380698e-06, 'epoch': 2.09}

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{'loss': 2.0883, 'grad_norm': 1.957334280014038, 'learning_rate': 6.60941278457507e-06, 'epoch': 2.1}

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{'loss': 2.1186, 'grad_norm': 2.046431303024292, 'learning_rate': 6.567665096711535e-06, 'epoch': 2.1}

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{'loss': 2.0253, 'grad_norm': 1.9661527872085571, 'learning_rate': 6.526012687505663e-06, 'epoch': 2.1}

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{'loss': 2.0877, 'grad_norm': 2.230457067489624, 'learning_rate': 6.484456027596464e-06, 'epoch': 2.1}

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{'loss': 1.9837, 'grad_norm': 2.0942983627319336, 'learning_rate': 6.442995586541035e-06, 'epoch': 2.11}

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{'loss': 1.9615, 'grad_norm': 2.190612316131592, 'learning_rate': 6.401631832809284e-06, 'epoch': 2.11}

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{'loss': 2.0318, 'grad_norm': 1.9410665035247803, 'learning_rate': 6.360365233778636e-06, 'epoch': 2.11}

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{'loss': 1.9844, 'grad_norm': 2.1339073181152344, 'learning_rate': 6.319196255728742e-06, 'epoch': 2.12}

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{'eval_loss': 2.1489861011505127, 'eval_runtime': 187.3163, 'eval_samples_per_second': 19.123, 'eval_steps_per_second': 9.561, 'epoch': 2.12}

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{'loss': 1.9859, 'grad_norm': 2.235607624053955, 'learning_rate': 6.278125363836202e-06, 'epoch': 2.12}

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{'loss': 1.9365, 'grad_norm': 2.1931774616241455, 'learning_rate': 6.237153022169342e-06, 'epoch': 2.12}

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{'loss': 1.984, 'grad_norm': 2.2077181339263916, 'learning_rate': 6.196279693682935e-06, 'epoch': 2.13}

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{'loss': 2.036, 'grad_norm': 2.1559600830078125, 'learning_rate': 6.155505840212979e-06, 'epoch': 2.13}

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{'loss': 2.0518, 'grad_norm': 2.0176351070404053, 'learning_rate': 6.114831922471504e-06, 'epoch': 2.13}

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{'loss': 2.1008, 'grad_norm': 2.0780820846557617, 'learning_rate': 6.074258400041326e-06, 'epoch': 2.14}

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{'loss': 1.8786, 'grad_norm': 2.0629055500030518, 'learning_rate': 6.033785731370881e-06, 'epoch': 2.14}

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{'loss': 2.0494, 'grad_norm': 2.001648426055908, 'learning_rate': 5.993414373769045e-06, 'epoch': 2.14}

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{'loss': 1.9998, 'grad_norm': 2.356572389602661, 'learning_rate': 5.95314478339995e-06, 'epoch': 2.15}

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{'loss': 1.9499, 'grad_norm': 2.1504576206207275, 'learning_rate': 5.912977415277841e-06, 'epoch': 2.15}

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{'loss': 2.0496, 'grad_norm': 2.1868839263916016, 'learning_rate': 5.872912723261931e-06, 'epoch': 2.15}

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{'loss': 2.0041, 'grad_norm': 2.1539273262023926, 'learning_rate': 5.832951160051292e-06, 'epoch': 2.15}

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{'loss': 2.0636, 'grad_norm': 1.8748795986175537, 'learning_rate': 5.7930931771797e-06, 'epoch': 2.16}

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{'loss': 2.0662, 'grad_norm': 2.056987762451172, 'learning_rate': 5.7533392250105675e-06, 'epoch': 2.16}

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{'loss': 2.0615, 'grad_norm': 2.044497013092041, 'learning_rate': 5.713689752731841e-06, 'epoch': 2.16}

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{'loss': 2.0544, 'grad_norm': 2.256789445877075, 'learning_rate': 5.674145208350922e-06, 'epoch': 2.17}

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{'loss': 2.0475, 'grad_norm': 2.0668106079101562, 'learning_rate': 5.634706038689627e-06, 'epoch': 2.17}

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{'loss': 2.1511, 'grad_norm': 2.1313724517822266, 'learning_rate': 5.595372689379107e-06, 'epoch': 2.17}

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{'loss': 2.142, 'grad_norm': 2.1208736896514893, 'learning_rate': 5.556145604854824e-06, 'epoch': 2.18}

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{'loss': 2.0139, 'grad_norm': 2.2594168186187744, 'learning_rate': 5.5170252283515546e-06, 'epoch': 2.18}

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{'eval_loss': 2.148176670074463, 'eval_runtime': 186.9306, 'eval_samples_per_second': 19.162, 'eval_steps_per_second': 9.581, 'epoch': 2.18}

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{'loss': 2.0697, 'grad_norm': 2.115370512008667, 'learning_rate': 5.284568506371425e-06, 'epoch': 2.2}

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{'loss': 2.0095, 'grad_norm': 2.064342975616455, 'learning_rate': 5.2462073946808554e-06, 'epoch': 2.2}

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{'loss': 2.0029, 'grad_norm': 1.9524471759796143, 'learning_rate': 5.207956493065819e-06, 'epoch': 2.2}

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{'loss': 2.0803, 'grad_norm': 2.197950601577759, 'learning_rate': 5.169816233730985e-06, 'epoch': 2.21}

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{'loss': 2.0825, 'grad_norm': 2.0769145488739014, 'learning_rate': 5.131787047630869e-06, 'epoch': 2.21}

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 74%|███████▍  | 7110/9636 [7:24:54<1:58:53,  2.82s/it]{'loss': 2.0537, 'grad_norm': 2.044151544570923, 'learning_rate': 5.093869364464933e-06, 'epoch': 2.21}

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{'loss': 2.0093, 'grad_norm': 2.0827338695526123, 'learning_rate': 5.018370219429146e-06, 'epoch': 2.22}

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{'loss': 1.9373, 'grad_norm': 2.2380199432373047, 'learning_rate': 4.9433222109344235e-06, 'epoch': 2.23}

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{'loss': 2.1202, 'grad_norm': 2.2830400466918945, 'learning_rate': 4.905968443665935e-06, 'epoch': 2.23}

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{'loss': 2.025, 'grad_norm': 2.0549957752227783, 'learning_rate': 4.8687287309017075e-06, 'epoch': 2.23}

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{'loss': 2.0685, 'grad_norm': 2.31369948387146, 'learning_rate': 4.8316034934207826e-06, 'epoch': 2.24}

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{'loss': 1.9444, 'grad_norm': 2.0437307357788086, 'learning_rate': 4.7945931507087385e-06, 'epoch': 2.24}

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{'loss': 2.0491, 'grad_norm': 2.161602735519409, 'learning_rate': 4.757698120952917e-06, 'epoch': 2.24}

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{'eval_loss': 2.14833402633667, 'eval_runtime': 187.4083, 'eval_samples_per_second': 19.113, 'eval_steps_per_second': 9.557, 'epoch': 2.24}

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{'loss': 1.918, 'grad_norm': 1.9652084112167358, 'learning_rate': 4.7209188210377205e-06, 'epoch': 2.24}

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{'loss': 2.1417, 'grad_norm': 2.187314510345459, 'learning_rate': 4.647709071723863e-06, 'epoch': 2.25}

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{'loss': 2.1193, 'grad_norm': 2.29813551902771, 'learning_rate': 4.611279449536959e-06, 'epoch': 2.25}

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{'loss': 2.2023, 'grad_norm': 2.0481536388397217, 'learning_rate': 4.538772768226917e-06, 'epoch': 2.26}

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{'loss': 1.9918, 'grad_norm': 2.245485544204712, 'learning_rate': 4.5026965283714335e-06, 'epoch': 2.26}

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{'loss': 2.0378, 'grad_norm': 2.3145503997802734, 'learning_rate': 4.466738899671145e-06, 'epoch': 2.27}

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{'loss': 1.9618, 'grad_norm': 2.0607235431671143, 'learning_rate': 4.430900288418584e-06, 'epoch': 2.27}

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{'loss': 1.9441, 'grad_norm': 1.9435425996780396, 'learning_rate': 4.395181099561459e-06, 'epoch': 2.27}

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{'loss': 2.0527, 'grad_norm': 2.1657283306121826, 'learning_rate': 4.324102602072943e-06, 'epoch': 2.28}

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{'loss': 2.0538, 'grad_norm': 2.104766845703125, 'learning_rate': 4.253506619717812e-06, 'epoch': 2.29}

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{'loss': 1.9136, 'grad_norm': 2.1633970737457275, 'learning_rate': 4.218390569666129e-06, 'epoch': 2.29}

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{'loss': 2.0446, 'grad_norm': 1.994201898574829, 'learning_rate': 4.1485243357268085e-06, 'epoch': 2.29}

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{'loss': 2.0393, 'grad_norm': 2.0406241416931152, 'learning_rate': 4.113774941271883e-06, 'epoch': 2.3}

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{'loss': 1.9257, 'grad_norm': 2.126812219619751, 'learning_rate': 4.079148552475837e-06, 'epoch': 2.3}

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{'loss': 1.9834, 'grad_norm': 2.1176037788391113, 'learning_rate': 4.04464556058924e-06, 'epoch': 2.3}

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{'eval_loss': 2.146757125854492, 'eval_runtime': 186.2064, 'eval_samples_per_second': 19.237, 'eval_steps_per_second': 9.618, 'epoch': 2.3}

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{'loss': 2.0188, 'grad_norm': 1.9960737228393555, 'learning_rate': 4.010266355468381e-06, 'epoch': 2.31}

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{'loss': 2.1364, 'grad_norm': 2.019719123840332, 'learning_rate': 3.976011325570849e-06, 'epoch': 2.31}

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{'loss': 1.9716, 'grad_norm': 1.9896260499954224, 'learning_rate': 3.941880857951154e-06, 'epoch': 2.31}

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{'loss': 2.0109, 'grad_norm': 2.0515034198760986, 'learning_rate': 3.907875338256358e-06, 'epoch': 2.32}

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{'loss': 1.9911, 'grad_norm': 2.0600745677948, 'learning_rate': 3.873995150721706e-06, 'epoch': 2.32}

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{'loss': 2.1621, 'grad_norm': 2.2600908279418945, 'learning_rate': 3.8402406781662815e-06, 'epoch': 2.32}

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{'loss': 2.0384, 'grad_norm': 1.9977940320968628, 'learning_rate': 3.773110402162806e-06, 'epoch': 2.33}

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{'loss': 2.1002, 'grad_norm': 2.1237127780914307, 'learning_rate': 3.7397353572333137e-06, 'epoch': 2.33}

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{'loss': 2.0821, 'grad_norm': 1.9928371906280518, 'learning_rate': 3.706487544311621e-06, 'epoch': 2.34}

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{'loss': 2.156, 'grad_norm': 2.1357288360595703, 'learning_rate': 3.6733673390714896e-06, 'epoch': 2.34}

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{'loss': 2.1231, 'grad_norm': 1.8983690738677979, 'learning_rate': 3.6403751157448168e-06, 'epoch': 2.34}

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{'loss': 2.0313, 'grad_norm': 1.9864925146102905, 'learning_rate': 3.574776104524758e-06, 'epoch': 2.35}

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{'loss': 2.0593, 'grad_norm': 2.2271735668182373, 'learning_rate': 3.5421700578478633e-06, 'epoch': 2.35}

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{'loss': 2.0706, 'grad_norm': 2.1740171909332275, 'learning_rate': 3.5096934755090505e-06, 'epoch': 2.35}

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{'loss': 2.0072, 'grad_norm': 2.172351121902466, 'learning_rate': 3.477346724467785e-06, 'epoch': 2.36}

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{'loss': 2.1132, 'grad_norm': 2.0390753746032715, 'learning_rate': 3.4451301702165476e-06, 'epoch': 2.36}

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{'loss': 2.0639, 'grad_norm': 2.004464626312256, 'learning_rate': 3.4130441767767075e-06, 'epoch': 2.36}

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{'loss': 1.985, 'grad_norm': 2.3264260292053223, 'learning_rate': 3.381089106694394e-06, 'epoch': 2.37}

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{'eval_loss': 2.1466386318206787, 'eval_runtime': 188.1623, 'eval_samples_per_second': 19.037, 'eval_steps_per_second': 9.518, 'epoch': 2.37}

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{'loss': 2.079, 'grad_norm': 2.1372599601745605, 'learning_rate': 3.317573179386124e-06, 'epoch': 2.37}

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{'loss': 1.9877, 'grad_norm': 2.0465028285980225, 'learning_rate': 3.2860130398394845e-06, 'epoch': 2.38}

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{'loss': 2.1511, 'grad_norm': 2.010178565979004, 'learning_rate': 3.254585259000879e-06, 'epoch': 2.38}

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{'loss': 1.9953, 'grad_norm': 2.284921407699585, 'learning_rate': 3.2232901919791563e-06, 'epoch': 2.38}

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{'loss': 1.9249, 'grad_norm': 2.0183324813842773, 'learning_rate': 3.1921281923836184e-06, 'epoch': 2.38}

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{'loss': 1.9735, 'grad_norm': 2.065774440765381, 'learning_rate': 3.1302048023864884e-06, 'epoch': 2.39}

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{'loss': 1.9415, 'grad_norm': 2.0942840576171875, 'learning_rate': 3.09944411166981e-06, 'epoch': 2.39}

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{'loss': 2.0269, 'grad_norm': 2.2377021312713623, 'learning_rate': 3.0688178877412236e-06, 'epoch': 2.4}

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{'loss': 1.9317, 'grad_norm': 2.362626075744629, 'learning_rate': 3.0383264766526225e-06, 'epoch': 2.4}

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{'loss': 2.0627, 'grad_norm': 2.0445404052734375, 'learning_rate': 2.9777494695827134e-06, 'epoch': 2.41}

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{'loss': 2.03, 'grad_norm': 2.168503999710083, 'learning_rate': 2.947664558073258e-06, 'epoch': 2.41}

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{'loss': 1.9991, 'grad_norm': 2.087602376937866, 'learning_rate': 2.9177158283397685e-06, 'epoch': 2.41}

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{'loss': 2.1473, 'grad_norm': 2.052743673324585, 'learning_rate': 2.887903618779004e-06, 'epoch': 2.42}

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{'loss': 2.0456, 'grad_norm': 2.311960220336914, 'learning_rate': 2.8582282662451426e-06, 'epoch': 2.42}

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{'loss': 1.9757, 'grad_norm': 2.3503880500793457, 'learning_rate': 2.8286901060460053e-06, 'epoch': 2.42}

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{'loss': 2.0585, 'grad_norm': 2.0403499603271484, 'learning_rate': 2.799289471939232e-06, 'epoch': 2.43}

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{'loss': 2.0042, 'grad_norm': 2.247770309448242, 'learning_rate': 2.7700266961285343e-06, 'epoch': 2.43}

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{'eval_loss': 2.1463911533355713, 'eval_runtime': 186.9364, 'eval_samples_per_second': 19.162, 'eval_steps_per_second': 9.581, 'epoch': 2.43}

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{'loss': 2.0577, 'grad_norm': 2.2260851860046387, 'learning_rate': 2.740902109259939e-06, 'epoch': 2.43}

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{'loss': 1.9953, 'grad_norm': 1.9728243350982666, 'learning_rate': 2.711916040418044e-06, 'epoch': 2.43}

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{'loss': 2.0118, 'grad_norm': 2.1541900634765625, 'learning_rate': 2.6830688171222968e-06, 'epoch': 2.44}

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{'loss': 2.001, 'grad_norm': 2.130624532699585, 'learning_rate': 2.654360765323318e-06, 'epoch': 2.44}

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{'loss': 1.9239, 'grad_norm': 2.214191436767578, 'learning_rate': 2.5973634721517938e-06, 'epoch': 2.45}

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{'loss': 2.0746, 'grad_norm': 2.2529098987579346, 'learning_rate': 2.5690748748031946e-06, 'epoch': 2.45}

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{'loss': 2.0001, 'grad_norm': 2.2313878536224365, 'learning_rate': 2.5409267369919714e-06, 'epoch': 2.45}

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{'loss': 2.0106, 'grad_norm': 2.182490587234497, 'learning_rate': 2.5129193767696278e-06, 'epoch': 2.46}

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{'loss': 1.9932, 'grad_norm': 2.0481536388397217, 'learning_rate': 2.4850531105969864e-06, 'epoch': 2.46}

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{'loss': 2.155, 'grad_norm': 2.145419120788574, 'learning_rate': 2.4573282533406314e-06, 'epoch': 2.46}

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{'loss': 2.1474, 'grad_norm': 2.1001687049865723, 'learning_rate': 2.4023040170505076e-06, 'epoch': 2.47}

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{'loss': 2.0608, 'grad_norm': 2.1687440872192383, 'learning_rate': 2.347849154812134e-06, 'epoch': 2.48}

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{'loss': 2.0201, 'grad_norm': 1.9391473531723022, 'learning_rate': 2.320836009089085e-06, 'epoch': 2.48}

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{'loss': 2.0602, 'grad_norm': 2.1745877265930176, 'learning_rate': 2.2939661278045653e-06, 'epoch': 2.48}

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{'loss': 2.0437, 'grad_norm': 2.212806463241577, 'learning_rate': 2.2672398145667983e-06, 'epoch': 2.48}

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{'loss': 2.0425, 'grad_norm': 2.0654702186584473, 'learning_rate': 2.2406573713618068e-06, 'epoch': 2.49}

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{'loss': 2.0485, 'grad_norm': 2.0424580574035645, 'learning_rate': 2.2142190985499903e-06, 'epoch': 2.49}

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{'eval_loss': 2.1449508666992188, 'eval_runtime': 187.038, 'eval_samples_per_second': 19.151, 'eval_steps_per_second': 9.576, 'epoch': 2.49}

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{'loss': 2.1147, 'grad_norm': 2.1757798194885254, 'learning_rate': 2.1617762573990634e-06, 'epoch': 2.5}

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{'loss': 2.0336, 'grad_norm': 2.2264888286590576, 'learning_rate': 2.135772281622227e-06, 'epoch': 2.5}

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{'loss': 2.0642, 'grad_norm': 2.402892589569092, 'learning_rate': 2.1099136613564114e-06, 'epoch': 2.5}

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{'loss': 1.9569, 'grad_norm': 2.1921963691711426, 'learning_rate': 2.0586336544392526e-06, 'epoch': 2.51}

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{'loss': 1.9641, 'grad_norm': 2.2486279010772705, 'learning_rate': 1.982811061386535e-06, 'epoch': 2.52}

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{'loss': 2.0654, 'grad_norm': 2.1049344539642334, 'learning_rate': 1.9329976093031998e-06, 'epoch': 2.53}

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{'loss': 2.147, 'grad_norm': 2.0613791942596436, 'learning_rate': 1.9083122130193307e-06, 'epoch': 2.53}

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{'loss': 2.0141, 'grad_norm': 1.9128402471542358, 'learning_rate': 1.8837747423638052e-06, 'epoch': 2.53}

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{'loss': 2.0443, 'grad_norm': 2.241746425628662, 'learning_rate': 1.8593854745904643e-06, 'epoch': 2.53}

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{'loss': 2.1235, 'grad_norm': 2.0203628540039062, 'learning_rate': 1.8110526483297413e-06, 'epoch': 2.54}

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{'loss': 2.018, 'grad_norm': 1.9667901992797852, 'learning_rate': 1.7871096359647315e-06, 'epoch': 2.54}

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{'loss': 1.9506, 'grad_norm': 2.123535394668579, 'learning_rate': 1.7633159187204994e-06, 'epoch': 2.55}

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{'loss': 2.0168, 'grad_norm': 2.2215964794158936, 'learning_rate': 1.7396717654470689e-06, 'epoch': 2.55}

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{'loss': 2.0712, 'grad_norm': 2.181373119354248, 'learning_rate': 1.7161774433045075e-06, 'epoch': 2.55}

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{'eval_loss': 2.1444342136383057, 'eval_runtime': 187.368, 'eval_samples_per_second': 19.117, 'eval_steps_per_second': 9.559, 'epoch': 2.55}

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{'loss': 1.9991, 'grad_norm': 2.3296055793762207, 'learning_rate': 1.6928332177599148e-06, 'epoch': 2.56}

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{'loss': 2.0035, 'grad_norm': 2.0350170135498047, 'learning_rate': 1.6696393525844194e-06, 'epoch': 2.56}

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{'loss': 1.9546, 'grad_norm': 2.1081619262695312, 'learning_rate': 1.6465961098501886e-06, 'epoch': 2.56}

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{'loss': 2.008, 'grad_norm': 2.391456365585327, 'learning_rate': 1.6237037499274892e-06, 'epoch': 2.57}

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{'loss': 2.0459, 'grad_norm': 2.146106719970703, 'learning_rate': 1.6009625314817273e-06, 'epoch': 2.57}

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{'loss': 2.0095, 'grad_norm': 2.076145648956299, 'learning_rate': 1.5783727114705243e-06, 'epoch': 2.57}

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{'loss': 1.9794, 'grad_norm': 2.1023125648498535, 'learning_rate': 1.5336482860260192e-06, 'epoch': 2.58}

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{'loss': 2.0137, 'grad_norm': 1.8702651262283325, 'learning_rate': 1.511514185943047e-06, 'epoch': 2.58}

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{'loss': 2.0796, 'grad_norm': 2.2833774089813232, 'learning_rate': 1.489532494989585e-06, 'epoch': 2.58}

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{'loss': 2.0838, 'grad_norm': 2.2445011138916016, 'learning_rate': 1.4677034615412065e-06, 'epoch': 2.59}

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{'loss': 2.0227, 'grad_norm': 1.9388408660888672, 'learning_rate': 1.446027332248575e-06, 'epoch': 2.59}

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{'loss': 1.9715, 'grad_norm': 2.1513211727142334, 'learning_rate': 1.4245043520346574e-06, 'epoch': 2.59}

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{'loss': 2.1779, 'grad_norm': 2.211707830429077, 'learning_rate': 1.4031347640919662e-06, 'epoch': 2.6}

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{'loss': 2.0845, 'grad_norm': 2.426628828048706, 'learning_rate': 1.3819188098797958e-06, 'epoch': 2.6}

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{'loss': 2.1174, 'grad_norm': 2.0924298763275146, 'learning_rate': 1.3608567291215008e-06, 'epoch': 2.6}

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{'loss': 2.0471, 'grad_norm': 2.131864070892334, 'learning_rate': 1.3399487598017961e-06, 'epoch': 2.61}

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{'loss': 2.0464, 'grad_norm': 2.2729909420013428, 'learning_rate': 1.3191951381640522e-06, 'epoch': 2.61}

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{'loss': 2.1695, 'grad_norm': 1.8769755363464355, 'learning_rate': 1.2781518741852722e-06, 'epoch': 2.62}

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{'eval_loss': 2.1442055702209473, 'eval_runtime': 187.4124, 'eval_samples_per_second': 19.113, 'eval_steps_per_second': 9.556, 'epoch': 2.62}

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{'loss': 1.9799, 'grad_norm': 2.1599879264831543, 'learning_rate': 1.257862695600378e-06, 'epoch': 2.62}

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{'loss': 1.98, 'grad_norm': 2.089949131011963, 'learning_rate': 1.2377287922044872e-06, 'epoch': 2.62}

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{'loss': 2.1156, 'grad_norm': 2.2617416381835938, 'learning_rate': 1.0449790712466161e-06, 'epoch': 2.65}

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{'loss': 1.9493, 'grad_norm': 2.271174907684326, 'learning_rate': 1.0265678219356844e-06, 'epoch': 2.66}

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{'loss': 2.1001, 'grad_norm': 2.0762743949890137, 'learning_rate': 1.008314461261321e-06, 'epoch': 2.66}

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{'loss': 2.1673, 'grad_norm': 2.126378297805786, 'learning_rate': 9.902191954719392e-07, 'epoch': 2.66}

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{'loss': 2.0485, 'grad_norm': 2.148932933807373, 'learning_rate': 9.722822290296064e-07, 'epoch': 2.67}

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{'loss': 1.9757, 'grad_norm': 2.187338352203369, 'learning_rate': 9.54503764607732e-07, 'epoch': 2.67}

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{'loss': 2.108, 'grad_norm': 2.386570692062378, 'learning_rate': 9.368840030887871e-07, 'epoch': 2.67}

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{'loss': 1.9813, 'grad_norm': 1.9600379467010498, 'learning_rate': 9.194231435620181e-07, 'epoch': 2.67}

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{'loss': 2.0298, 'grad_norm': 2.3402042388916016, 'learning_rate': 9.021213833212066e-07, 'epoch': 2.68}

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{'eval_loss': 2.143892526626587, 'eval_runtime': 187.386, 'eval_samples_per_second': 19.116, 'eval_steps_per_second': 9.558, 'epoch': 2.68}

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{'loss': 1.9949, 'grad_norm': 2.0800700187683105, 'learning_rate': 8.849789178624468e-07, 'epoch': 2.68}

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{'loss': 2.0778, 'grad_norm': 2.3456034660339355, 'learning_rate': 8.679959408819194e-07, 'epoch': 2.68}

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{'loss': 2.0973, 'grad_norm': 2.1861205101013184, 'learning_rate': 8.511726442737167e-07, 'epoch': 2.69}

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{'loss': 1.9885, 'grad_norm': 2.0032851696014404, 'learning_rate': 8.345092181276676e-07, 'epoch': 2.69}

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{'loss': 2.0296, 'grad_norm': 2.185441732406616, 'learning_rate': 8.016627285471972e-07, 'epoch': 2.7}

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{'loss': 1.9448, 'grad_norm': 2.060805320739746, 'learning_rate': 7.694579566928278e-07, 'epoch': 2.7}

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{'loss': 2.0007, 'grad_norm': 2.140612840652466, 'learning_rate': 7.535966709066949e-07, 'epoch': 2.71}

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{'loss': 1.9089, 'grad_norm': 2.4065918922424316, 'learning_rate': 7.223571957138841e-07, 'epoch': 2.71}

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{'loss': 2.0416, 'grad_norm': 2.226318120956421, 'learning_rate': 7.069793592883572e-07, 'epoch': 2.72}

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{'loss': 2.2595, 'grad_norm': 2.169931173324585, 'learning_rate': 6.917630225940785e-07, 'epoch': 2.72}

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{'loss': 2.0969, 'grad_norm': 2.047846794128418, 'learning_rate': 6.767083575635147e-07, 'epoch': 2.72}

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{'loss': 2.097, 'grad_norm': 2.2995352745056152, 'learning_rate': 6.618155343023752e-07, 'epoch': 2.72}

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{'loss': 1.94, 'grad_norm': 2.3059048652648926, 'learning_rate': 6.47084721087674e-07, 'epoch': 2.73}

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{'loss': 2.029, 'grad_norm': 2.1023879051208496, 'learning_rate': 6.181097887508891e-07, 'epoch': 2.73}

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{'loss': 2.0198, 'grad_norm': 2.116192579269409, 'learning_rate': 6.038659970224259e-07, 'epoch': 2.74}

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{'loss': 2.0148, 'grad_norm': 2.0575666427612305, 'learning_rate': 5.897848701239484e-07, 'epoch': 2.74}

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{'eval_loss': 2.143479347229004, 'eval_runtime': 186.4555, 'eval_samples_per_second': 19.211, 'eval_steps_per_second': 9.606, 'epoch': 2.74}

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{'loss': 2.062, 'grad_norm': 2.029822587966919, 'learning_rate': 5.758665671609586e-07, 'epoch': 2.74}

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{'loss': 2.0113, 'grad_norm': 2.1560802459716797, 'learning_rate': 5.621112453991739e-07, 'epoch': 2.75}

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{'loss': 2.0038, 'grad_norm': 2.1747450828552246, 'learning_rate': 5.48519060262761e-07, 'epoch': 2.75}

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{'loss': 1.9552, 'grad_norm': 2.0241870880126953, 'learning_rate': 5.21824712344392e-07, 'epoch': 2.76}

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{'loss': 1.9604, 'grad_norm': 2.005244731903076, 'learning_rate': 5.087228511872727e-07, 'epoch': 2.76}

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{'loss': 2.1748, 'grad_norm': 2.1509580612182617, 'learning_rate': 4.957847299017898e-07, 'epoch': 2.76}

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{'loss': 2.073, 'grad_norm': 1.8467944860458374, 'learning_rate': 4.830104946783898e-07, 'epoch': 2.76}

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{'loss': 2.0973, 'grad_norm': 2.2653565406799316, 'learning_rate': 4.704002898557436e-07, 'epoch': 2.77}

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{'loss': 2.0744, 'grad_norm': 2.263779878616333, 'learning_rate': 4.5795425791910315e-07, 'epoch': 2.77}

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{'loss': 1.9677, 'grad_norm': 2.1178817749023438, 'learning_rate': 4.4567253949870266e-07, 'epoch': 2.77}

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{'loss': 2.0664, 'grad_norm': 2.23307466506958, 'learning_rate': 4.3355527336816137e-07, 'epoch': 2.78}

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{'loss': 2.0571, 'grad_norm': 2.0096397399902344, 'learning_rate': 4.2160259644292153e-07, 'epoch': 2.78}

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{'loss': 1.978, 'grad_norm': 2.4402244091033936, 'learning_rate': 4.0981464377869814e-07, 'epoch': 2.78}

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{'loss': 2.0114, 'grad_norm': 2.166287899017334, 'learning_rate': 3.9819154856995e-07, 'epoch': 2.79}

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{'loss': 2.044, 'grad_norm': 2.0517234802246094, 'learning_rate': 3.8673344214838256e-07, 'epoch': 2.79}

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{'loss': 2.0326, 'grad_norm': 1.9843487739562988, 'learning_rate': 3.75440453981456e-07, 'epoch': 2.79}

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{'loss': 2.0567, 'grad_norm': 2.1810660362243652, 'learning_rate': 3.6431271167093273e-07, 'epoch': 2.8}

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{'loss': 1.9177, 'grad_norm': 2.0939552783966064, 'learning_rate': 3.5335034095141884e-07, 'epoch': 2.8}

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{'loss': 1.9477, 'grad_norm': 2.287302017211914, 'learning_rate': 3.4255346568896006e-07, 'epoch': 2.8}

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{'eval_loss': 2.143820285797119, 'eval_runtime': 187.2918, 'eval_samples_per_second': 19.125, 'eval_steps_per_second': 9.563, 'epoch': 2.8}

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{'loss': 2.0575, 'grad_norm': 2.2132747173309326, 'learning_rate': 3.31922207879633e-07, 'epoch': 2.81}

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{'loss': 2.0609, 'grad_norm': 2.1147005558013916, 'learning_rate': 3.214566876481728e-07, 'epoch': 2.81}

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{'loss': 2.0675, 'grad_norm': 2.2730016708374023, 'learning_rate': 3.1115702324660765e-07, 'epoch': 2.81}

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{'loss': 2.1499, 'grad_norm': 2.2190961837768555, 'learning_rate': 3.010233310529265e-07, 'epoch': 2.81}

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{'loss': 1.9224, 'grad_norm': 2.0846123695373535, 'learning_rate': 2.9105572556977155e-07, 'epoch': 2.82}

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{'loss': 2.0265, 'grad_norm': 2.092548370361328, 'learning_rate': 2.812543194231315e-07, 'epoch': 2.82}

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{'loss': 2.093, 'grad_norm': 2.2175838947296143, 'learning_rate': 2.7161922336107536e-07, 'epoch': 2.82}

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{'loss': 2.0835, 'grad_norm': 2.1230103969573975, 'learning_rate': 2.6215054625250536e-07, 'epoch': 2.83}

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{'loss': 1.903, 'grad_norm': 2.3399951457977295, 'learning_rate': 2.528483950859162e-07, 'epoch': 2.83}

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{'loss': 2.0955, 'grad_norm': 2.291217803955078, 'learning_rate': 2.4371287496819773e-07, 'epoch': 2.83}

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{'loss': 2.0003, 'grad_norm': 2.1169307231903076, 'learning_rate': 2.3474408912343926e-07, 'epoch': 2.84}

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{'loss': 1.9576, 'grad_norm': 1.9181336164474487, 'learning_rate': 2.2594213889176542e-07, 'epoch': 2.84}

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{'loss': 2.1494, 'grad_norm': 2.202720880508423, 'learning_rate': 2.1730712372819205e-07, 'epoch': 2.84}

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{'loss': 2.0252, 'grad_norm': 2.2083096504211426, 'learning_rate': 2.0883914120150394e-07, 'epoch': 2.85}

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{'loss': 1.9848, 'grad_norm': 2.140091896057129, 'learning_rate': 1.844383368140723e-07, 'epoch': 2.86}

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{'eval_loss': 2.14361310005188, 'eval_runtime': 186.45, 'eval_samples_per_second': 19.212, 'eval_steps_per_second': 9.606, 'epoch': 2.86}

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{'loss': 2.1553, 'grad_norm': 2.0932161808013916, 'learning_rate': 1.401589309026413e-07, 'epoch': 2.87}

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{'loss': 2.0851, 'grad_norm': 2.141028881072998, 'learning_rate': 1.3336622529578623e-07, 'epoch': 2.88}

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{'loss': 2.1164, 'grad_norm': 2.067251682281494, 'learning_rate': 1.1399629260517297e-07, 'epoch': 2.89}

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{'loss': 2.0053, 'grad_norm': 2.200833559036255, 'learning_rate': 9.052481576714788e-08, 'epoch': 2.9}

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{'loss': 2.1521, 'grad_norm': 2.0871734619140625, 'learning_rate': 8.507794849694106e-08, 'epoch': 2.9}

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{'loss': 2.0046, 'grad_norm': 1.9740064144134521, 'learning_rate': 7.979960794781582e-08, 'epoch': 2.9}

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{'loss': 2.1132, 'grad_norm': 2.4298932552337646, 'learning_rate': 7.468985376080761e-08, 'epoch': 2.91}

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{'loss': 2.034, 'grad_norm': 2.093594551086426, 'learning_rate': 6.037267720560568e-08, 'epoch': 2.92}

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{'eval_loss': 2.143531084060669, 'eval_runtime': 186.6458, 'eval_samples_per_second': 19.191, 'eval_steps_per_second': 9.596, 'epoch': 2.93}

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{'loss': 2.0886, 'grad_norm': 2.2382969856262207, 'learning_rate': 4.364660225114392e-08, 'epoch': 2.93}

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{'loss': 2.0412, 'grad_norm': 2.35514760017395, 'learning_rate': 3.988745731989207e-08, 'epoch': 2.93}

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{'loss': 2.0602, 'grad_norm': 2.1150882244110107, 'learning_rate': 3.629734972622256e-08, 'epoch': 2.94}

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{'loss': 2.045, 'grad_norm': 2.139798164367676, 'learning_rate': 3.2876320035484796e-08, 'epoch': 2.94}

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{'loss': 2.087, 'grad_norm': 2.1101112365722656, 'learning_rate': 2.962440690258639e-08, 'epoch': 2.94}

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{'loss': 2.0877, 'grad_norm': 2.121575117111206, 'learning_rate': 2.654164707155182e-08, 'epoch': 2.95}

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{'loss': 1.9793, 'grad_norm': 2.3145968914031982, 'learning_rate': 2.0883724734291897e-08, 'epoch': 2.95}

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{'loss': 2.0409, 'grad_norm': 2.099518299102783, 'learning_rate': 1.8308626158072827e-08, 'epoch': 2.95}

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{'loss': 2.1606, 'grad_norm': 2.3151204586029053, 'learning_rate': 1.5902808743014087e-08, 'epoch': 2.96}

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{'loss': 2.1538, 'grad_norm': 2.23754620552063, 'learning_rate': 1.3666299672932535e-08, 'epoch': 2.96}

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{'loss': 2.0308, 'grad_norm': 2.2649729251861572, 'learning_rate': 1.1599124218595325e-08, 'epoch': 2.96}

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{'loss': 2.0074, 'grad_norm': 2.2056708335876465, 'learning_rate': 9.701305737438438e-09, 'epoch': 2.97}

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{'loss': 2.0994, 'grad_norm': 2.286069631576538, 'learning_rate': 7.972865673293584e-09, 'epoch': 2.97}

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{'loss': 1.9347, 'grad_norm': 2.0044105052948, 'learning_rate': 6.413823556156717e-09, 'epoch': 2.97}

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{'loss': 1.984, 'grad_norm': 1.9401038885116577, 'learning_rate': 5.024197001958219e-09, 'epoch': 2.98}

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{'loss': 2.0386, 'grad_norm': 2.2093329429626465, 'learning_rate': 3.8040017123713854e-09, 'epoch': 2.98}

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{'loss': 1.903, 'grad_norm': 2.1817615032196045, 'learning_rate': 1.8719581613729774e-09, 'epoch': 2.99}

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{'eval_loss': 2.143502712249756, 'eval_runtime': 188.9905, 'eval_samples_per_second': 18.953, 'eval_steps_per_second': 9.477, 'epoch': 2.99}
                                                   


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{'loss': 2.0305, 'grad_norm': 2.263693332672119, 'learning_rate': 6.177802251144948e-10, 'epoch': 2.99}

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{'loss': 2.0723, 'grad_norm': 2.1481823921203613, 'learning_rate': 2.4490977332480847e-10, 'epoch': 3.0}

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{'loss': 2.0396, 'grad_norm': 2.3673958778381348, 'learning_rate': 4.1524588277885855e-11, 'epoch': 3.0}

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{'train_runtime': 36274.3627, 'train_samples_per_second': 4.249, 'train_steps_per_second': 0.266, 'train_loss': 2.259446155980396, 'epoch': 3.0}

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LoRA adapter saved to cpt_qwen3_medical (no merge — SFT sẽ continue-train adapter này)
Training complete.

[CPT.py] pushing adapter to huyennkai/Venera-CPT-TMModel@main
[push_to_hf] task=cpt label=CPT src=cpt_qwen3_medical
[push_to_hf] target: huyennkai/Venera-CPT-TMModel@main
[push_to_hf] repo exists: huyennkai/Venera-CPT-TMModel
[push_to_hf] branch ready: main
[push_to_hf] uploading cpt_qwen3_medical -> huyennkai/Venera-CPT-TMModel@main

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[push_to_hf] DONE. https://huggingface.co/huyennkai/Venera-CPT-TMModel/tree/main

[CPT.py] done. Adapter on HF: huyennkai/Venera-CPT-TMModel@main
[CPT.py] Eval will run in a separate docker run from bootstrap.sh — this avoids CUDA/NVML corruption caused by forking after training.
[bootstrap] ===== CPT: eval (fresh containers, model from HF) =====
[bootstrap] -- eval: Unsloth_QA_CPT_new.ipynb

==========
== CUDA ==
==========

CUDA Version 12.8.0

Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.

This container image and its contents are governed by the NVIDIA Deep Learning Container License.
By pulling and using the container, you accept the terms and conditions of this license:
https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license

A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.

[NbConvertApp] Converting notebook Unsloth_QA_CPT_new.ipynb to script
[NbConvertApp] Writing 88976 bytes to Unsloth_QA_CPT_new.py

==========
== CUDA ==
==========

CUDA Version 12.8.0

Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.

This container image and its contents are governed by the NVIDIA Deep Learning Container License.
By pulling and using the container, you accept the terms and conditions of this license:
https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license

A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.

🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.
🦥 Unsloth Zoo will now patch everything to make training faster!
[eval] loading CPT adapter from HF: huyennkai/Venera-CPT-TMModel@main
Unsloth: WARNING `trust_remote_code` is True.
Are you certain you want to do remote code execution?
==((====))==  Unsloth 2026.3.17: Fast Qwen3 patching. Transformers: 4.57.6.
   \\   /|    NVIDIA A100-SXM4-40GB. Num GPUs = 1. Max memory: 39.495 GB. Platform: Linux.
O^O/ \_/ \    Torch: 2.10.0+cu128. CUDA: 8.0. CUDA Toolkit: 12.8. Triton: 3.6.0
\        /    Bfloat16 = TRUE. FA [Xformers = 0.0.35. FA2 = False]
 "-____-"     Free license: http://github.com/unslothai/unsloth
Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored!
unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit does not have a padding token! Will use pad_token = <|PAD_TOKEN|>.

Processing Questions:   0%|          | 0/105 [00:00<?, ?questions/s]
Processing Questions:  95%|█████████▌| 100/105 [00:13<00:00,  7.25questions/s]
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Processing Results: 100%|██████████| 105/105 [00:00<00:00, 426.73it/s]
============================================================
SAMPLE INDEX: 93
Topic(s)   : Pulmonology, Eastern Medicine
Difficulty : Moderate
============================================================

Question:
Trong Y học cổ truyền, phương thang Thanh Táo Cứu Phế Thang được biết đến với công dụng điều trị các chứng khí bí uất, nuy, suyễn, ấu bằng cách tập trung giải quyết nguyên nhân chính nào?

Options:
  A) Táo của phế
  B) Thận dương suy
  C) Tỳ vị hư hàn
  D) Can khí uất kết

------------------------------------------------------------
Model Response:
Final Answer: D

------------------------------------------------------------
Extracted Answer : D
Correct Answer   : A
Result           : ✗ INCORRECT
============================================================
[bootstrap] -- eval: Unsloth_QA_CPT_VM14K.ipynb

==========
== CUDA ==
==========

CUDA Version 12.8.0

Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.

This container image and its contents are governed by the NVIDIA Deep Learning Container License.
By pulling and using the container, you accept the terms and conditions of this license:
https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license

A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.

[NbConvertApp] Converting notebook Unsloth_QA_CPT_VM14K.ipynb to script
[NbConvertApp] Writing 88993 bytes to Unsloth_QA_CPT_VM14K.py

==========
== CUDA ==
==========

CUDA Version 12.8.0

Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.

This container image and its contents are governed by the NVIDIA Deep Learning Container License.
By pulling and using the container, you accept the terms and conditions of this license:
https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license

A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.

🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.
🦥 Unsloth Zoo will now patch everything to make training faster!
[eval] loading CPT adapter from HF: huyennkai/Venera-CPT-TMModel@main
Unsloth: WARNING `trust_remote_code` is True.
Are you certain you want to do remote code execution?
==((====))==  Unsloth 2026.3.17: Fast Qwen3 patching. Transformers: 4.57.6.
   \\   /|    NVIDIA A100-SXM4-40GB. Num GPUs = 1. Max memory: 39.495 GB. Platform: Linux.
O^O/ \_/ \    Torch: 2.10.0+cu128. CUDA: 8.0. CUDA Toolkit: 12.8. Triton: 3.6.0
\        /    Bfloat16 = TRUE. FA [Xformers = 0.0.35. FA2 = False]
 "-____-"     Free license: http://github.com/unslothai/unsloth
Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored!
unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit does not have a padding token! Will use pad_token = <|PAD_TOKEN|>.

Processing Questions:   0%|          | 0/564 [00:00<?, ?questions/s]
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Processing Results:   0%|          | 0/564 [00:00<?, ?it/s]
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Processing Results: 100%|██████████| 564/564 [00:00<00:00, 711.22it/s]
============================================================
SAMPLE INDEX: 319
Topic(s)   : Psychiatry, Neurology, Eastern Medicine
Difficulty : Easy
============================================================

Question:
Vị thuốc nào trong phương Linh giác câu đằng thang có tác dụng an thần:

Options:
  A) Liên tâm
  B) Viễn chí
  C) Phục thần
  D) Thần khúc

------------------------------------------------------------
Model Response:
Final Answer: C

------------------------------------------------------------
Extracted Answer : C
Correct Answer   : C
Result           : ✓ CORRECT
============================================================
[bootstrap] ===== CPT: push eval outputs + log =====

==========
== CUDA ==
==========

CUDA Version 12.8.0

Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.

This container image and its contents are governed by the NVIDIA Deep Learning Container License.
By pulling and using the container, you accept the terms and conditions of this license:
https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license

A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.

[push_to_hf] task=cpt label=CPT src=/workspace/CPT/cpt_qwen3_medical (skip-model)
[push_to_hf] target: huyennkai/Venera-CPT-TMModel@main
[push_to_hf] repo exists: huyennkai/Venera-CPT-TMModel
[push_to_hf] branch ready: main
[push_to_hf] --skip-model set, not uploading artifact
[push_to_hf] uploading eval: /workspace/EVAL/outputs -> huyennkai/Venera-CPT-TMModel@main:eval/outputs

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