=== 2026-07-15T03:54:11+00:00 RUN_NAME=v1 ===

=== 1. train ===
== Loading base model Qwen/Qwen3-8B
`torch_dtype` is deprecated! Use `dtype` instead!

Loading checkpoint shards:   0%|          | 0/5 [00:00<?, ?it/s]
Loading checkpoint shards: 100%|██████████| 5/5 [00:00<00:00, 128.85it/s]
== Loading datasets
loaded train=77198  eval=4063
== Configuring LoRA r=16 alpha=32
== Wiring TRL SFTTrainer

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Tokenizing eval dataset:   0%|          | 0/4063 [00:00<?, ? examples/s]
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Building labels for eval dataset:   0%|          | 0/4063 [00:00<?, ? examples/s]
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Truncating eval dataset:   0%|          | 0/4063 [00:00<?, ? examples/s]
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Truncating eval dataset: 100%|██████████| 4063/4063 [00:00<00:00, 6913.63 examples/s]
== Starting training  train_size=77198
The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'bos_token_id': None, 'pad_token_id': 151643}.
wandb: [wandb.login()] Loaded credentials for https://api.wandb.ai from WANDB_API_KEY.
wandb: Currently logged in as: sugi205 to https://api.wandb.ai. Use `wandb login --relogin` to force relogin
wandb: setting up run 8pkr2ssa
wandb: Tracking run with wandb version 0.28.0
wandb: Run data is saved locally in /workspace/tanglish/wandb/run-20260715_035537-8pkr2ssa
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run v1
wandb: ⭐️ View project at https://wandb.ai/sugi205/qwen3-8b-tanglish
wandb: 🚀 View run at https://wandb.ai/sugi205/qwen3-8b-tanglish/runs/8pkr2ssa

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  3%|▎         | 500/14475 [21:03<9:19:27,  2.40s/it]{'loss': 4.0762, 'grad_norm': 2.1717000007629395, 'learning_rate': 5.248618784530387e-06, 'entropy': 1.4381825268268584, 'num_tokens': 51480.0, 'mean_token_accuracy': 0.4441531464457512, 'epoch': 0.0}
{'loss': 3.8127, 'grad_norm': 2.724255323410034, 'learning_rate': 1.0773480662983426e-05, 'entropy': 1.5037598952651023, 'num_tokens': 103460.0, 'mean_token_accuracy': 0.4525611069053411, 'epoch': 0.01}
{'loss': 3.1292, 'grad_norm': 1.1939035654067993, 'learning_rate': 1.6298342541436465e-05, 'entropy': 1.901321442425251, 'num_tokens': 154920.0, 'mean_token_accuracy': 0.48335910513997077, 'epoch': 0.01}
{'loss': 2.3084, 'grad_norm': 0.7893019318580627, 'learning_rate': 2.1823204419889505e-05, 'entropy': 2.358680176734924, 'num_tokens': 207786.0, 'mean_token_accuracy': 0.554056815057993, 'epoch': 0.02}
{'loss': 1.708, 'grad_norm': 0.5736128091812134, 'learning_rate': 2.7348066298342545e-05, 'entropy': 1.830135741829872, 'num_tokens': 256847.0, 'mean_token_accuracy': 0.6866068348288537, 'epoch': 0.02}
{'loss': 1.4132, 'grad_norm': 0.9956451058387756, 'learning_rate': 3.287292817679558e-05, 'entropy': 1.4562795095145702, 'num_tokens': 309233.0, 'mean_token_accuracy': 0.7327493987977505, 'epoch': 0.02}
{'loss': 1.3879, 'grad_norm': 0.8126519918441772, 'learning_rate': 3.8397790055248625e-05, 'entropy': 1.4073016680777073, 'num_tokens': 361206.0, 'mean_token_accuracy': 0.7353364005684853, 'epoch': 0.03}
{'loss': 1.2517, 'grad_norm': 0.6408252120018005, 'learning_rate': 4.392265193370166e-05, 'entropy': 1.28325657248497, 'num_tokens': 412093.0, 'mean_token_accuracy': 0.7543429806828499, 'epoch': 0.03}
{'loss': 1.2238, 'grad_norm': 0.6377286911010742, 'learning_rate': 4.94475138121547e-05, 'entropy': 1.219002117216587, 'num_tokens': 463753.0, 'mean_token_accuracy': 0.7544910028576851, 'epoch': 0.04}
{'loss': 1.3026, 'grad_norm': 0.7240749001502991, 'learning_rate': 5.4972375690607735e-05, 'entropy': 1.2931843183934688, 'num_tokens': 515356.0, 'mean_token_accuracy': 0.7400020457804203, 'epoch': 0.04}
{'loss': 1.2411, 'grad_norm': 0.7647127509117126, 'learning_rate': 6.049723756906077e-05, 'entropy': 1.2196356683969498, 'num_tokens': 565236.0, 'mean_token_accuracy': 0.7544264450669289, 'epoch': 0.05}
{'loss': 1.1776, 'grad_norm': 0.7827390432357788, 'learning_rate': 6.602209944751382e-05, 'entropy': 1.171409723162651, 'num_tokens': 615515.0, 'mean_token_accuracy': 0.7626889519393444, 'epoch': 0.05}
{'loss': 1.1546, 'grad_norm': 1.0029950141906738, 'learning_rate': 7.154696132596685e-05, 'entropy': 1.1406699948012828, 'num_tokens': 666062.0, 'mean_token_accuracy': 0.766391609609127, 'epoch': 0.05}
{'loss': 1.1352, 'grad_norm': 1.0503102540969849, 'learning_rate': 7.70718232044199e-05, 'entropy': 1.1219736263155937, 'num_tokens': 719494.0, 'mean_token_accuracy': 0.7641930885612964, 'epoch': 0.06}
{'loss': 1.202, 'grad_norm': 0.8290141820907593, 'learning_rate': 8.259668508287292e-05, 'entropy': 1.1847783662378788, 'num_tokens': 772839.0, 'mean_token_accuracy': 0.7585213594138622, 'epoch': 0.06}
{'loss': 1.1825, 'grad_norm': 0.877815842628479, 'learning_rate': 8.812154696132597e-05, 'entropy': 1.1723797246813774, 'num_tokens': 825189.0, 'mean_token_accuracy': 0.7599225588142872, 'epoch': 0.07}
{'loss': 1.1333, 'grad_norm': 0.7032957673072815, 'learning_rate': 9.364640883977901e-05, 'entropy': 1.1410918802022934, 'num_tokens': 877294.0, 'mean_token_accuracy': 0.7682646617293358, 'epoch': 0.07}
{'loss': 1.1536, 'grad_norm': 0.8480610847473145, 'learning_rate': 9.917127071823204e-05, 'entropy': 1.1239484950900078, 'num_tokens': 927234.0, 'mean_token_accuracy': 0.7669501408934594, 'epoch': 0.07}
{'loss': 1.1255, 'grad_norm': 0.7844213843345642, 'learning_rate': 0.0001046961325966851, 'entropy': 1.110478015244007, 'num_tokens': 980398.0, 'mean_token_accuracy': 0.7683746472001076, 'epoch': 0.08}
{'loss': 1.1729, 'grad_norm': 0.7246690988540649, 'learning_rate': 0.00011022099447513811, 'entropy': 1.1618236370384694, 'num_tokens': 1030335.0, 'mean_token_accuracy': 0.7629252031445504, 'epoch': 0.08}
{'loss': 1.152, 'grad_norm': 0.7912014722824097, 'learning_rate': 0.00011574585635359116, 'entropy': 1.1364129185676575, 'num_tokens': 1083694.0, 'mean_token_accuracy': 0.7651066802442074, 'epoch': 0.09}
{'loss': 1.1039, 'grad_norm': 0.7310007214546204, 'learning_rate': 0.00012127071823204422, 'entropy': 1.0954272992908956, 'num_tokens': 1134346.0, 'mean_token_accuracy': 0.7700782015919685, 'epoch': 0.09}
{'loss': 1.1267, 'grad_norm': 0.7415347099304199, 'learning_rate': 0.00012679558011049723, 'entropy': 1.1179637335240842, 'num_tokens': 1188485.0, 'mean_token_accuracy': 0.7677439145743847, 'epoch': 0.1}
{'loss': 1.095, 'grad_norm': 0.8192847371101379, 'learning_rate': 0.00013232044198895027, 'entropy': 1.0841590076684953, 'num_tokens': 1239371.0, 'mean_token_accuracy': 0.7726523540914059, 'epoch': 0.1}
{'loss': 1.0762, 'grad_norm': 0.8887308239936829, 'learning_rate': 0.00013784530386740332, 'entropy': 1.0643972344696522, 'num_tokens': 1290491.0, 'mean_token_accuracy': 0.7769059598445892, 'epoch': 0.1}


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                                                 {'eval_loss': 1.1184215545654297, 'eval_runtime': 198.0973, 'eval_samples_per_second': 20.51, 'eval_steps_per_second': 2.564, 'eval_entropy': 1.095322513439524, 'eval_num_tokens': 1290491.0, 'eval_mean_token_accuracy': 0.7680243507144958, 'epoch': 0.1}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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  5%|▌         | 760/14475 [35:15<9:47:02,  2.57s/it] 
                                                     

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  5%|▌         | 769/14475 [35:38<9:18:35,  2.45s/it]
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  5%|▌         | 773/14475 [35:48<10:07:34,  2.66s/it]
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  5%|▌         | 780/14475 [36:06<9:26:34,  2.48s/it]
                                                     

  5%|▌         | 780/14475 [36:06<9:26:34,  2.48s/it]
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  6%|▌         | 800/14475 [36:57<9:33:15,  2.52s/it]
  6%|▌         | 801/14475 [37:00<9:58:23,  2.63s/it]
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  6%|▌         | 840/14475 [38:40<9:32:33,  2.52s/it] 
                                                     

  6%|▌         | 840/14475 [38:40<9:32:33,  2.52s/it]
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  6%|▌         | 900/14475 [41:14<9:12:09,  2.44s/it]
                                                     

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                                                 {'eval_loss': 1.059064507484436, 'eval_runtime': 197.7332, 'eval_samples_per_second': 20.548, 'eval_steps_per_second': 2.569, 'eval_entropy': 1.0445965941496722, 'eval_num_tokens': 2569706.0, 'eval_mean_token_accuracy': 0.7763740899055962, 'epoch': 0.21}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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  8%|▊         | 1140/14475 [55:04<9:51:58,  2.66s/it]
                                                      

  8%|▊         | 1140/14475 [55:04<9:51:58,  2.66s/it]
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  8%|▊         | 1160/14475 [55:56<9:44:11,  2.63s/it]
                                                      

  8%|▊         | 1160/14475 [55:56<9:44:11,  2.63s/it]
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  8%|▊         | 1180/14475 [56:47<9:28:23,  2.57s/it]
                                                      

  8%|▊         | 1180/14475 [56:47<9:28:23,  2.57s/it]
  8%|▊         | 1181/14475 [56:50<9:40:20,  2.62s/it]
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  8%|▊         | 1200/14475 [57:37<9:03:36,  2.46s/it]
                                                      

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  8%|▊         | 1220/14475 [58:32<10:21:15,  2.81s/it]
                                                       

  8%|▊         | 1220/14475 [58:32<10:21:15,  2.81s/it]
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  9%|▊         | 1240/14475 [59:24<9:28:52,  2.58s/it]
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  9%|▊         | 1260/14475 [1:00:16<8:44:19,  2.38s/it]
                                                        

  9%|▊         | 1260/14475 [1:00:16<8:44:19,  2.38s/it]
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  9%|▉         | 1280/14475 [1:01:06<9:01:34,  2.46s/it]
                                                        

  9%|▉         | 1280/14475 [1:01:06<9:01:34,  2.46s/it]
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  9%|▉         | 1300/14475 [1:01:57<9:21:59,  2.56s/it]
                                                        

  9%|▉         | 1300/14475 [1:01:57<9:21:59,  2.56s/it]
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  9%|▉         | 1320/14475 [1:02:50<9:36:53,  2.63s/it]
                                                        

  9%|▉         | 1320/14475 [1:02:50<9:36:53,  2.63s/it]
  9%|▉         | 1321/14475 [1:02:52<9:20:11,  2.56s/it]
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 10%|█         | 1500/14475 [1:10:35<9:46:36,  2.71s/it]{'loss': 1.0571, 'grad_norm': 0.6377447843551636, 'learning_rate': 0.0001997729712697303, 'entropy': 1.0440333500504493, 'num_tokens': 2618883.0, 'mean_token_accuracy': 0.7803341060876846, 'epoch': 0.21}
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{'loss': 1.0142, 'grad_norm': 0.42339223623275757, 'learning_rate': 0.00019866878762788562, 'entropy': 1.0059320218861103, 'num_tokens': 3705949.0, 'mean_token_accuracy': 0.7823195405304432, 'epoch': 0.3}
{'loss': 1.0121, 'grad_norm': 0.48249927163124084, 'learning_rate': 0.00019859345013477665, 'entropy': 0.9958507776260376, 'num_tokens': 3756251.0, 'mean_token_accuracy': 0.7889884993433952, 'epoch': 0.3}
{'loss': 1.0226, 'grad_norm': 0.3815440237522125, 'learning_rate': 0.00019851605420039377, 'entropy': 0.9966832913458348, 'num_tokens': 3808938.0, 'mean_token_accuracy': 0.7830308295786381, 'epoch': 0.31}
{'loss': 0.9955, 'grad_norm': 0.4722138047218323, 'learning_rate': 0.00019843660144061497, 'entropy': 0.9885330185294151, 'num_tokens': 3858248.0, 'mean_token_accuracy': 0.7874660678207874, 'epoch': 0.31}


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                                                 {'eval_loss': 1.0242446660995483, 'eval_runtime': 198.2363, 'eval_samples_per_second': 20.496, 'eval_steps_per_second': 2.563, 'eval_entropy': 1.032557885595194, 'eval_num_tokens': 3858248.0, 'eval_mean_token_accuracy': 0.7811775283785317, 'epoch': 0.31}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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 14%|█▍        | 2000/14475 [1:35:28<8:44:34,  2.52s/it]{'loss': 1.0177, 'grad_norm': 0.42561495304107666, 'learning_rate': 0.00019835509351426073, 'entropy': 1.0101246651262046, 'num_tokens': 3909740.0, 'mean_token_accuracy': 0.7840446695685387, 'epoch': 0.32}
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{'loss': 1.0242, 'grad_norm': 0.5741726160049438, 'learning_rate': 0.00019591763945128493, 'entropy': 1.0107652366161346, 'num_tokens': 5090621.0, 'mean_token_accuracy': 0.7811738647520542, 'epoch': 0.41}
{'loss': 1.0264, 'grad_norm': 0.5132948756217957, 'learning_rate': 0.00019578741614402245, 'entropy': 1.022918675094843, 'num_tokens': 5143415.0, 'mean_token_accuracy': 0.7782419688999653, 'epoch': 0.41}


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                                                 {'eval_loss': 1.0029442310333252, 'eval_runtime': 197.9171, 'eval_samples_per_second': 20.529, 'eval_steps_per_second': 2.567, 'eval_entropy': 0.9987384857624535, 'eval_num_tokens': 5143415.0, 'eval_mean_token_accuracy': 0.7838117130628721, 'epoch': 0.41}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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 17%|█▋        | 2500/14475 [2:00:19<8:14:09,  2.48s/it]{'loss': 0.9695, 'grad_norm': 0.5051520466804504, 'learning_rate': 0.00019565519298006924, 'entropy': 0.961260611563921, 'num_tokens': 5194400.0, 'mean_token_accuracy': 0.7914115615189076, 'epoch': 0.42}
{'loss': 1.0146, 'grad_norm': 0.4538373351097107, 'learning_rate': 0.00019552097271999022, 'entropy': 0.9982391525059938, 'num_tokens': 5245625.0, 'mean_token_accuracy': 0.7841442748904228, 'epoch': 0.42}
{'loss': 0.9959, 'grad_norm': 0.4690403342247009, 'learning_rate': 0.00019538475816604578, 'entropy': 0.9815789975225926, 'num_tokens': 5295237.0, 'mean_token_accuracy': 0.7872560724616051, 'epoch': 0.43}
{'loss': 0.9866, 'grad_norm': 0.42687225341796875, 'learning_rate': 0.00019524655216213334, 'entropy': 0.9912715546786786, 'num_tokens': 5348418.0, 'mean_token_accuracy': 0.7859402887523175, 'epoch': 0.43}
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                                                 {'eval_loss': 0.9882201552391052, 'eval_runtime': 197.0794, 'eval_samples_per_second': 20.616, 'eval_steps_per_second': 2.578, 'eval_entropy': 0.9617302230023962, 'eval_num_tokens': 6428028.0, 'eval_mean_token_accuracy': 0.7864582590230806, 'epoch': 0.52}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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                                                 {'eval_loss': 0.9706581830978394, 'eval_runtime': 197.1854, 'eval_samples_per_second': 20.605, 'eval_steps_per_second': 2.576, 'eval_entropy': 0.9522759174033413, 'eval_num_tokens': 7715917.0, 'eval_mean_token_accuracy': 0.7886052683113128, 'epoch': 0.62}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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                                                 {'eval_loss': 0.9615499973297119, 'eval_runtime': 197.2805, 'eval_samples_per_second': 20.595, 'eval_steps_per_second': 2.575, 'eval_entropy': 0.9803924484281089, 'eval_num_tokens': 8996927.0, 'eval_mean_token_accuracy': 0.7901124554121588, 'epoch': 0.73}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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{'loss': 0.9681, 'grad_norm': 0.4234633147716522, 'learning_rate': 0.00017329038600002807, 'entropy': 0.9640789791941643, 'num_tokens': 10283849.0, 'mean_token_accuracy': 0.7887310594320297, 'epoch': 0.83}


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                                                 {'eval_loss': 0.9486145973205566, 'eval_runtime': 196.6351, 'eval_samples_per_second': 20.663, 'eval_steps_per_second': 2.583, 'eval_entropy': 0.9277598650202038, 'eval_num_tokens': 10283849.0, 'eval_mean_token_accuracy': 0.7921127796642423, 'epoch': 0.83}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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                                                 {'eval_loss': 0.9386545419692993, 'eval_runtime': 197.7861, 'eval_samples_per_second': 20.542, 'eval_steps_per_second': 2.568, 'eval_entropy': 0.8924233510972946, 'eval_num_tokens': 11586430.0, 'eval_mean_token_accuracy': 0.7933616472745505, 'epoch': 0.93}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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 35%|███▍      | 5000/14475 [4:01:17<6:49:10,  2.59s/it]{'loss': 0.9002, 'grad_norm': 0.5347554683685303, 'learning_rate': 0.00015896873755189868, 'entropy': 0.8986701011657715, 'num_tokens': 12460502.0, 'mean_token_accuracy': 0.8045198410749436, 'epoch': 1.0}
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{'loss': 0.8611, 'grad_norm': 0.4607287049293518, 'learning_rate': 0.00015710837111281286, 'entropy': 0.8522643312811852, 'num_tokens': 12709628.0, 'mean_token_accuracy': 0.8077139921486378, 'epoch': 1.02}
{'loss': 0.8664, 'grad_norm': 0.537442684173584, 'learning_rate': 0.0001567326896876497, 'entropy': 0.8478192627429962, 'num_tokens': 12760895.0, 'mean_token_accuracy': 0.8070318132638932, 'epoch': 1.03}
{'loss': 0.8902, 'grad_norm': 0.4382570683956146, 'learning_rate': 0.00015635582379323556, 'entropy': 0.890300364792347, 'num_tokens': 12812211.0, 'mean_token_accuracy': 0.7996452160179615, 'epoch': 1.03}
{'loss': 0.8292, 'grad_norm': 0.41449499130249023, 'learning_rate': 0.0001559777812978042, 'entropy': 0.8272694803774356, 'num_tokens': 12861861.0, 'mean_token_accuracy': 0.811527369171381, 'epoch': 1.04}


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                                                 {'eval_loss': 0.9333181977272034, 'eval_runtime': 198.9365, 'eval_samples_per_second': 20.424, 'eval_steps_per_second': 2.554, 'eval_entropy': 0.8690557431752287, 'eval_num_tokens': 12861861.0, 'eval_mean_token_accuracy': 0.7949006537518163, 'epoch': 1.04}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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                                                 {'eval_loss': 0.923703134059906, 'eval_runtime': 198.4957, 'eval_samples_per_second': 20.469, 'eval_steps_per_second': 2.559, 'eval_entropy': 0.8880770857643894, 'eval_num_tokens': 14141648.0, 'eval_mean_token_accuracy': 0.7956895906859496, 'epoch': 1.14}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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                                                 {'eval_loss': 0.9117017984390259, 'eval_runtime': 198.6993, 'eval_samples_per_second': 20.448, 'eval_steps_per_second': 2.557, 'eval_entropy': 0.8585143367371221, 'eval_num_tokens': 15433001.0, 'eval_mean_token_accuracy': 0.7978430621501967, 'epoch': 1.24}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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 45%|████▍     | 6500/14475 [5:14:06<5:38:14,  2.54s/it]{'loss': 0.8698, 'grad_norm': 0.5006239414215088, 'learning_rate': 0.0001353289974086957, 'entropy': 0.8643816657364368, 'num_tokens': 15485038.0, 'mean_token_accuracy': 0.8013977088034153, 'epoch': 1.25}
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                                                 {'eval_loss': 0.8999478220939636, 'eval_runtime': 198.43, 'eval_samples_per_second': 20.476, 'eval_steps_per_second': 2.56, 'eval_entropy': 0.8672052781412921, 'eval_num_tokens': 16714755.0, 'eval_mean_token_accuracy': 0.7994705477333445, 'epoch': 1.35}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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                                                 {'eval_loss': 0.8907586932182312, 'eval_runtime': 198.4999, 'eval_samples_per_second': 20.469, 'eval_steps_per_second': 2.559, 'eval_entropy': 0.8238435296092447, 'eval_num_tokens': 18006201.0, 'eval_mean_token_accuracy': 0.8013772557335576, 'epoch': 1.45}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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                                                 {'eval_loss': 0.8787927031517029, 'eval_runtime': 198.8156, 'eval_samples_per_second': 20.436, 'eval_steps_per_second': 2.555, 'eval_entropy': 0.833337394036646, 'eval_num_tokens': 19293849.0, 'eval_mean_token_accuracy': 0.803317973932882, 'epoch': 1.55}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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                                                 {'eval_loss': 0.8691816926002502, 'eval_runtime': 199.1925, 'eval_samples_per_second': 20.397, 'eval_steps_per_second': 2.55, 'eval_entropy': 0.8331183724281356, 'eval_num_tokens': 20586773.0, 'eval_mean_token_accuracy': 0.8051465577262593, 'epoch': 1.66}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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                                                 {'eval_loss': 0.8602352142333984, 'eval_runtime': 199.5985, 'eval_samples_per_second': 20.356, 'eval_steps_per_second': 2.545, 'eval_entropy': 0.8191909030901166, 'eval_num_tokens': 21857727.0, 'eval_mean_token_accuracy': 0.8063250250938371, 'epoch': 1.76}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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                                                 {'eval_loss': 0.8477412462234497, 'eval_runtime': 199.3762, 'eval_samples_per_second': 20.379, 'eval_steps_per_second': 2.548, 'eval_entropy': 0.8072302305088268, 'eval_num_tokens': 23158219.0, 'eval_mean_token_accuracy': 0.8091423881100858, 'epoch': 1.87}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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                                                 {'eval_loss': 0.8369172215461731, 'eval_runtime': 199.0099, 'eval_samples_per_second': 20.416, 'eval_steps_per_second': 2.553, 'eval_entropy': 0.7865860647573246, 'eval_num_tokens': 24457830.0, 'eval_mean_token_accuracy': 0.81087670058716, 'epoch': 1.97}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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 69%|██████▉   | 10000/14475 [8:05:40<3:14:16,  2.60s/it]{'loss': 0.7213, 'grad_norm': 0.696112871170044, 'learning_rate': 5.4665083772146385e-05, 'entropy': 0.7477992571890354, 'num_tokens': 24867726.0, 'mean_token_accuracy': 0.8279822461307049, 'epoch': 2.0}
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{'loss': 0.688, 'grad_norm': 0.8226049542427063, 'learning_rate': 4.945360464067566e-05, 'entropy': 0.6915552038699389, 'num_tokens': 25545692.0, 'mean_token_accuracy': 0.8372002221643925, 'epoch': 2.06}
{'loss': 0.6678, 'grad_norm': 0.8825149536132812, 'learning_rate': 4.9059876368394865e-05, 'entropy': 0.6767883218824864, 'num_tokens': 25596578.0, 'mean_token_accuracy': 0.8408191554248333, 'epoch': 2.06}
{'loss': 0.6869, 'grad_norm': 0.8278037309646606, 'learning_rate': 4.866721162774668e-05, 'entropy': 0.685994666814804, 'num_tokens': 25648744.0, 'mean_token_accuracy': 0.8369470968842506, 'epoch': 2.06}
{'loss': 0.6113, 'grad_norm': 0.9138433933258057, 'learning_rate': 4.827561861681424e-05, 'entropy': 0.627468366548419, 'num_tokens': 25698194.0, 'mean_token_accuracy': 0.8540245234966278, 'epoch': 2.07}
{'loss': 0.6889, 'grad_norm': 0.9565804600715637, 'learning_rate': 4.788510551130517e-05, 'entropy': 0.6912321873009205, 'num_tokens': 25750022.0, 'mean_token_accuracy': 0.8333763852715492, 'epoch': 2.07}


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                                                 {'eval_loss': 0.8467245101928711, 'eval_runtime': 198.9613, 'eval_samples_per_second': 20.421, 'eval_steps_per_second': 2.553, 'eval_entropy': 0.715560236021759, 'eval_num_tokens': 25750022.0, 'eval_mean_token_accuracy': 0.811145214935926, 'epoch': 2.07}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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{'loss': 0.6625, 'grad_norm': 0.738776683807373, 'learning_rate': 3.958328672484794e-05, 'entropy': 0.6684356812387705, 'num_tokens': 26875634.0, 'mean_token_accuracy': 0.840371286869049, 'epoch': 2.16}
{'loss': 0.6329, 'grad_norm': 0.8352062702178955, 'learning_rate': 3.9219813955281124e-05, 'entropy': 0.6448073945939541, 'num_tokens': 26924294.0, 'mean_token_accuracy': 0.8479115769267083, 'epoch': 2.17}
{'loss': 0.6735, 'grad_norm': 0.8592702150344849, 'learning_rate': 3.8857610158890736e-05, 'entropy': 0.6653367314487696, 'num_tokens': 26973603.0, 'mean_token_accuracy': 0.841375395655632, 'epoch': 2.17}
{'loss': 0.6488, 'grad_norm': 0.8268009424209595, 'learning_rate': 3.849668289779418e-05, 'entropy': 0.6571714913472533, 'num_tokens': 27024915.0, 'mean_token_accuracy': 0.8468234062194824, 'epoch': 2.18}


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                                                 {'eval_loss': 0.8363224267959595, 'eval_runtime': 199.6557, 'eval_samples_per_second': 20.35, 'eval_steps_per_second': 2.544, 'eval_entropy': 0.7116222533536708, 'eval_num_tokens': 27024915.0, 'eval_mean_token_accuracy': 0.8132013156423419, 'epoch': 2.18}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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                                                 {'eval_loss': 0.8294876217842102, 'eval_runtime': 200.1537, 'eval_samples_per_second': 20.299, 'eval_steps_per_second': 2.538, 'eval_entropy': 0.7070391678551989, 'eval_num_tokens': 28315353.0, 'eval_mean_token_accuracy': 0.814408174297941, 'epoch': 2.28}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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                                                 {'eval_loss': 0.8230946660041809, 'eval_runtime': 199.7844, 'eval_samples_per_second': 20.337, 'eval_steps_per_second': 2.543, 'eval_entropy': 0.6985438240794685, 'eval_num_tokens': 29599532.0, 'eval_mean_token_accuracy': 0.8159553369903189, 'epoch': 2.38}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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                                                 {'eval_loss': 0.8202970027923584, 'eval_runtime': 199.8927, 'eval_samples_per_second': 20.326, 'eval_steps_per_second': 2.541, 'eval_entropy': 0.6961625082872984, 'eval_num_tokens': 30881640.0, 'eval_mean_token_accuracy': 0.8167111642482713, 'epoch': 2.49}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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                                                 {'eval_loss': 0.8154915571212769, 'eval_runtime': 198.9366, 'eval_samples_per_second': 20.424, 'eval_steps_per_second': 2.554, 'eval_entropy': 0.6978348161526552, 'eval_num_tokens': 32171600.0, 'eval_mean_token_accuracy': 0.8173087063267475, 'epoch': 2.59}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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                                                 {'eval_loss': 0.813569962978363, 'eval_runtime': 198.845, 'eval_samples_per_second': 20.433, 'eval_steps_per_second': 2.555, 'eval_entropy': 0.6894910364873766, 'eval_num_tokens': 33446805.0, 'eval_mean_token_accuracy': 0.8179197175296273, 'epoch': 2.69}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

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                                                 {'eval_loss': 0.8126490116119385, 'eval_runtime': 198.5997, 'eval_samples_per_second': 20.458, 'eval_steps_per_second': 2.558, 'eval_entropy': 0.6862592061790894, 'eval_num_tokens': 34740742.0, 'eval_mean_token_accuracy': 0.818171246079948, 'epoch': 2.8}
S3-sync /workspace/tanglish/checkpoints/qwen_lora_v1/lora -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/

                                                        

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{'train_runtime': 39771.9668, 'train_samples_per_second': 5.823, 'train_steps_per_second': 0.364, 'train_loss': 0.8528991302207665, 'epoch': 2.8}
== TRAINING COMPLETE == best-model saved -> 
/workspace/tanglish/checkpoints/qwen_lora_v1/lora/best
wandb: 
wandb: 🚀 View run v1 at: https://wandb.ai/sugi205/qwen3-8b-tanglish/runs/8pkr2ssa
wandb: Find logs at: wandb/run-20260715_035537-8pkr2ssa/logs

=== 2. merge best LoRA into standalone bf16 model ===
merge base=Qwen/Qwen3-8B  
lora=/workspace/tanglish/checkpoints/qwen_lora_v1/lora/best  -> 
/workspace/tanglish/checkpoints/qwen_lora_v1/merged
`torch_dtype` is deprecated! Use `dtype` instead!

Loading checkpoint shards:   0%|          | 0/5 [00:00<?, ?it/s]
Loading checkpoint shards: 100%|██████████| 5/5 [00:00<00:00, 149.51it/s]
merged wrote 14 files, 16.40 GB -> 
/workspace/tanglish/checkpoints/qwen_lora_v1/merged

=== 3. sync merged model to S3 (~16 GB) ===
upload_merged /workspace/tanglish/checkpoints/qwen_lora_v1/merged -> 
s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/merged/
upload_merged complete

=== 4. final safety: sync ALL LoRA checkpoints one more time ===
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upload: checkpoints/qwen_lora_v1/lora/best/adapter_model.safetensors to s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/lora-ckpts/best/adapter_model.safetensors

=== 5. sync training log for post-mortem ===
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upload: logs/qwen_train.log to s3://bo2olk8uqw/checkpoints/qwen3-8b-tanglish-v1/training.log

=== 2026-07-15T15:04:10+00:00 TRAINING COMPLETE (RUN_NAME=v1) ===