sujalgawas commited on
Commit
b1fe44d
·
verified ·
1 Parent(s): dde6a72

Training in progress, step 5806, checkpoint

Browse files
last-checkpoint/adapter_config.json CHANGED
@@ -31,10 +31,10 @@
31
  "rank_pattern": {},
32
  "revision": null,
33
  "target_modules": [
34
- "q_proj",
35
- "v_proj",
36
  "o_proj",
37
- "k_proj"
 
38
  ],
39
  "target_parameters": null,
40
  "task_type": "CAUSAL_LM",
 
31
  "rank_pattern": {},
32
  "revision": null,
33
  "target_modules": [
34
+ "k_proj",
 
35
  "o_proj",
36
+ "v_proj",
37
+ "q_proj"
38
  ],
39
  "target_parameters": null,
40
  "task_type": "CAUSAL_LM",
last-checkpoint/adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:52217ccaabbb2c9a520ff6c890c15d98aa47a4c28fad51432c095d328a2a29be
3
  size 14764744
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6f22e14a21fbc01535d8b474a37f7897261e0e9d44ac6c70f5ae6599b1e461d7
3
  size 14764744
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a6af5e95ef3e872afad1bdf1fdf3ea5f5155675c6586239ad660ccd39c37347e
3
  size 29614667
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c2b171d33aa6f98342456fab464bee21a9699e54d6bfd82c63c9af6ea6adbb40
3
  size 29614667
last-checkpoint/rng_state_0.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a82aeb7d859423fae1de432598feb0f08060628848416302157961cd81d904dc
3
  size 14917
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:38930553ed957b1463a36a308942c5610692c94a54bf3656a9d7406bbfa9c1e1
3
  size 14917
last-checkpoint/rng_state_1.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:51933555f7d7492da069489fcbf900fea3e97204e288093912746efcc0733e6e
3
  size 14917
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:497da62cc96f57ba96cd0fc26ae3953441e4ad7c8b6f524685215da682c18652
3
  size 14917
last-checkpoint/scaler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7d223d319f4b8402bb6d092355111dac11a4bb47d6e23f14a8f4c5bc3c5b9c8f
3
  size 1383
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0861073ade655d14fb72097d362c2e813ed5d5faa50345ce5bc8f77fc935cfd8
3
  size 1383
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:dd465d73b04f6c59912627375bc7905b039595a268513d7eb113da343a1d81e2
3
  size 1465
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aa80ce769d9e6a0fc0b7fe734e59120bbbef8e392f0c0a33bd722e77bb1ee770
3
  size 1465
last-checkpoint/trainer_state.json CHANGED
@@ -2,9 +2,9 @@
2
  "best_global_step": null,
3
  "best_metric": null,
4
  "best_model_checkpoint": null,
5
- "epoch": 0.8267665676269216,
6
  "eval_steps": 100,
7
- "global_step": 4800,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
@@ -5336,6 +5336,1127 @@
5336
  "eval_samples_per_second": 5.161,
5337
  "eval_steps_per_second": 1.291,
5338
  "step": 4800
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5339
  }
5340
  ],
5341
  "logging_steps": 10,
@@ -5350,12 +6471,12 @@
5350
  "should_evaluate": false,
5351
  "should_log": false,
5352
  "should_save": true,
5353
- "should_training_stop": false
5354
  },
5355
  "attributes": {}
5356
  }
5357
  },
5358
- "total_flos": 7.887012992552796e+17,
5359
  "train_batch_size": 2,
5360
  "trial_name": null,
5361
  "trial_params": null
 
2
  "best_global_step": null,
3
  "best_metric": null,
4
  "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
  "eval_steps": 100,
7
+ "global_step": 5806,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
 
5336
  "eval_samples_per_second": 5.161,
5337
  "eval_steps_per_second": 1.291,
5338
  "step": 4800
5339
+ },
5340
+ {
5341
+ "entropy": 0.857286661863327,
5342
+ "epoch": 0.8284889979761444,
5343
+ "grad_norm": 0.4545460641384125,
5344
+ "learning_rate": 3.434378229417844e-06,
5345
+ "loss": 0.8539424896240234,
5346
+ "mean_token_accuracy": 0.8060515314340592,
5347
+ "num_tokens": 136995.0,
5348
+ "step": 4810
5349
+ },
5350
+ {
5351
+ "entropy": 0.8996703952550889,
5352
+ "epoch": 0.8302114283253671,
5353
+ "grad_norm": 0.43648988008499146,
5354
+ "learning_rate": 3.39993110575267e-06,
5355
+ "loss": 0.8872912406921387,
5356
+ "mean_token_accuracy": 0.8003117755055428,
5357
+ "num_tokens": 269371.0,
5358
+ "step": 4820
5359
+ },
5360
+ {
5361
+ "entropy": 0.897844985127449,
5362
+ "epoch": 0.8319338586745898,
5363
+ "grad_norm": 0.405977338552475,
5364
+ "learning_rate": 3.365483982087496e-06,
5365
+ "loss": 0.8877438545227051,
5366
+ "mean_token_accuracy": 0.8004682302474976,
5367
+ "num_tokens": 407343.0,
5368
+ "step": 4830
5369
+ },
5370
+ {
5371
+ "entropy": 0.8919987097382546,
5372
+ "epoch": 0.8336562890238126,
5373
+ "grad_norm": 0.43606001138687134,
5374
+ "learning_rate": 3.3310368584223218e-06,
5375
+ "loss": 0.8915199279785156,
5376
+ "mean_token_accuracy": 0.8018717259168625,
5377
+ "num_tokens": 543192.0,
5378
+ "step": 4840
5379
+ },
5380
+ {
5381
+ "entropy": 0.8664562180638313,
5382
+ "epoch": 0.8353787193730353,
5383
+ "grad_norm": 0.4047588109970093,
5384
+ "learning_rate": 3.296589734757148e-06,
5385
+ "loss": 0.8543147087097168,
5386
+ "mean_token_accuracy": 0.8059070542454719,
5387
+ "num_tokens": 678711.0,
5388
+ "step": 4850
5389
+ },
5390
+ {
5391
+ "entropy": 0.9019272044301033,
5392
+ "epoch": 0.8371011497222581,
5393
+ "grad_norm": 0.40798190236091614,
5394
+ "learning_rate": 3.262142611091974e-06,
5395
+ "loss": 0.901366138458252,
5396
+ "mean_token_accuracy": 0.7967334732413291,
5397
+ "num_tokens": 815193.0,
5398
+ "step": 4860
5399
+ },
5400
+ {
5401
+ "entropy": 0.8930811554193496,
5402
+ "epoch": 0.8388235800714808,
5403
+ "grad_norm": 0.44522613286972046,
5404
+ "learning_rate": 3.2276954874268003e-06,
5405
+ "loss": 0.8780466079711914,
5406
+ "mean_token_accuracy": 0.7989543616771698,
5407
+ "num_tokens": 951512.0,
5408
+ "step": 4870
5409
+ },
5410
+ {
5411
+ "entropy": 0.897969713807106,
5412
+ "epoch": 0.8405460104207036,
5413
+ "grad_norm": 0.4132952094078064,
5414
+ "learning_rate": 3.193248363761626e-06,
5415
+ "loss": 0.89752197265625,
5416
+ "mean_token_accuracy": 0.7986764028668404,
5417
+ "num_tokens": 1091226.0,
5418
+ "step": 4880
5419
+ },
5420
+ {
5421
+ "entropy": 0.8763776004314423,
5422
+ "epoch": 0.8422684407699264,
5423
+ "grad_norm": 0.464271605014801,
5424
+ "learning_rate": 3.1588012400964525e-06,
5425
+ "loss": 0.866519546508789,
5426
+ "mean_token_accuracy": 0.8051836535334587,
5427
+ "num_tokens": 1230839.0,
5428
+ "step": 4890
5429
+ },
5430
+ {
5431
+ "entropy": 0.8817414686083793,
5432
+ "epoch": 0.8439908711191492,
5433
+ "grad_norm": 0.40158164501190186,
5434
+ "learning_rate": 3.1243541164312784e-06,
5435
+ "loss": 0.8720556259155273,
5436
+ "mean_token_accuracy": 0.8009096115827561,
5437
+ "num_tokens": 1371321.0,
5438
+ "step": 4900
5439
+ },
5440
+ {
5441
+ "epoch": 0.8439908711191492,
5442
+ "eval_entropy": 0.8905009640159186,
5443
+ "eval_loss": 0.886862576007843,
5444
+ "eval_mean_token_accuracy": 0.8004815642430033,
5445
+ "eval_num_tokens": 1371321.0,
5446
+ "eval_runtime": 2214.5743,
5447
+ "eval_samples_per_second": 4.66,
5448
+ "eval_steps_per_second": 1.165,
5449
+ "step": 4900
5450
+ },
5451
+ {
5452
+ "entropy": 0.8792809963226318,
5453
+ "epoch": 0.8457133014683719,
5454
+ "grad_norm": 0.45575663447380066,
5455
+ "learning_rate": 3.0899069927661042e-06,
5456
+ "loss": 0.8713504791259765,
5457
+ "mean_token_accuracy": 0.8019704148173332,
5458
+ "num_tokens": 1508027.0,
5459
+ "step": 4910
5460
+ },
5461
+ {
5462
+ "entropy": 0.852638853341341,
5463
+ "epoch": 0.8474357318175946,
5464
+ "grad_norm": 0.5255561470985413,
5465
+ "learning_rate": 3.05545986910093e-06,
5466
+ "loss": 0.8388608932495117,
5467
+ "mean_token_accuracy": 0.808800981938839,
5468
+ "num_tokens": 1644684.0,
5469
+ "step": 4920
5470
+ },
5471
+ {
5472
+ "entropy": 0.852977229654789,
5473
+ "epoch": 0.8491581621668174,
5474
+ "grad_norm": 0.43369248509407043,
5475
+ "learning_rate": 3.0210127454357564e-06,
5476
+ "loss": 0.8463091850280762,
5477
+ "mean_token_accuracy": 0.8071771740913392,
5478
+ "num_tokens": 1782176.0,
5479
+ "step": 4930
5480
+ },
5481
+ {
5482
+ "entropy": 0.8610281966626644,
5483
+ "epoch": 0.8508805925160401,
5484
+ "grad_norm": 0.44929254055023193,
5485
+ "learning_rate": 2.9865656217705823e-06,
5486
+ "loss": 0.8570366859436035,
5487
+ "mean_token_accuracy": 0.8059208214282989,
5488
+ "num_tokens": 1920144.0,
5489
+ "step": 4940
5490
+ },
5491
+ {
5492
+ "entropy": 0.8712201908230781,
5493
+ "epoch": 0.8526030228652629,
5494
+ "grad_norm": 0.4670601487159729,
5495
+ "learning_rate": 2.9521184981054086e-06,
5496
+ "loss": 0.8666061401367188,
5497
+ "mean_token_accuracy": 0.8054374232888222,
5498
+ "num_tokens": 2059336.0,
5499
+ "step": 4950
5500
+ },
5501
+ {
5502
+ "entropy": 0.8756440788507461,
5503
+ "epoch": 0.8543254532144856,
5504
+ "grad_norm": 0.41233476996421814,
5505
+ "learning_rate": 2.9176713744402345e-06,
5506
+ "loss": 0.862638282775879,
5507
+ "mean_token_accuracy": 0.8034965068101882,
5508
+ "num_tokens": 2201332.0,
5509
+ "step": 4960
5510
+ },
5511
+ {
5512
+ "entropy": 0.9280423223972321,
5513
+ "epoch": 0.8560478835637084,
5514
+ "grad_norm": 0.37263938784599304,
5515
+ "learning_rate": 2.883224250775061e-06,
5516
+ "loss": 0.923769760131836,
5517
+ "mean_token_accuracy": 0.7912818253040313,
5518
+ "num_tokens": 2339368.0,
5519
+ "step": 4970
5520
+ },
5521
+ {
5522
+ "entropy": 0.8748306304216384,
5523
+ "epoch": 0.8577703139129311,
5524
+ "grad_norm": 0.47100237011909485,
5525
+ "learning_rate": 2.8487771271098863e-06,
5526
+ "loss": 0.8737285614013672,
5527
+ "mean_token_accuracy": 0.8047029227018356,
5528
+ "num_tokens": 2476367.0,
5529
+ "step": 4980
5530
+ },
5531
+ {
5532
+ "entropy": 0.9129098683595658,
5533
+ "epoch": 0.8594927442621539,
5534
+ "grad_norm": 0.528985321521759,
5535
+ "learning_rate": 2.8143300034447126e-06,
5536
+ "loss": 0.9065395355224609,
5537
+ "mean_token_accuracy": 0.7945742771029473,
5538
+ "num_tokens": 2613684.0,
5539
+ "step": 4990
5540
+ },
5541
+ {
5542
+ "entropy": 0.8374424375593662,
5543
+ "epoch": 0.8612151746113766,
5544
+ "grad_norm": 0.5343524217605591,
5545
+ "learning_rate": 2.7798828797795385e-06,
5546
+ "loss": 0.8323655128479004,
5547
+ "mean_token_accuracy": 0.8117164567112922,
5548
+ "num_tokens": 2748511.0,
5549
+ "step": 5000
5550
+ },
5551
+ {
5552
+ "epoch": 0.8612151746113766,
5553
+ "eval_entropy": 0.8905347423907262,
5554
+ "eval_loss": 0.886751651763916,
5555
+ "eval_mean_token_accuracy": 0.8005248703313678,
5556
+ "eval_num_tokens": 2748511.0,
5557
+ "eval_runtime": 2213.3653,
5558
+ "eval_samples_per_second": 4.663,
5559
+ "eval_steps_per_second": 1.166,
5560
+ "step": 5000
5561
+ },
5562
+ {
5563
+ "entropy": 0.9117981031537056,
5564
+ "epoch": 0.8629376049605995,
5565
+ "grad_norm": 0.4343831539154053,
5566
+ "learning_rate": 2.745435756114365e-06,
5567
+ "loss": 0.9022266387939453,
5568
+ "mean_token_accuracy": 0.7972292229533195,
5569
+ "num_tokens": 2880947.0,
5570
+ "step": 5010
5571
+ },
5572
+ {
5573
+ "entropy": 0.9056061550974845,
5574
+ "epoch": 0.8646600353098222,
5575
+ "grad_norm": 0.578609824180603,
5576
+ "learning_rate": 2.7109886324491907e-06,
5577
+ "loss": 0.8953428268432617,
5578
+ "mean_token_accuracy": 0.7994224324822425,
5579
+ "num_tokens": 3018280.0,
5580
+ "step": 5020
5581
+ },
5582
+ {
5583
+ "entropy": 0.9164850175380707,
5584
+ "epoch": 0.8663824656590449,
5585
+ "grad_norm": 0.4623558223247528,
5586
+ "learning_rate": 2.676541508784017e-06,
5587
+ "loss": 0.9010392189025879,
5588
+ "mean_token_accuracy": 0.7940018206834794,
5589
+ "num_tokens": 3151878.0,
5590
+ "step": 5030
5591
+ },
5592
+ {
5593
+ "entropy": 0.9213888213038445,
5594
+ "epoch": 0.8681048960082677,
5595
+ "grad_norm": 0.4534718990325928,
5596
+ "learning_rate": 2.642094385118843e-06,
5597
+ "loss": 0.9162769317626953,
5598
+ "mean_token_accuracy": 0.7945156171917915,
5599
+ "num_tokens": 3289251.0,
5600
+ "step": 5040
5601
+ },
5602
+ {
5603
+ "entropy": 0.9475837752223015,
5604
+ "epoch": 0.8698273263574904,
5605
+ "grad_norm": 0.41711097955703735,
5606
+ "learning_rate": 2.607647261453669e-06,
5607
+ "loss": 0.9355989456176758,
5608
+ "mean_token_accuracy": 0.7877664595842362,
5609
+ "num_tokens": 3422221.0,
5610
+ "step": 5050
5611
+ },
5612
+ {
5613
+ "entropy": 0.859785021841526,
5614
+ "epoch": 0.8715497567067132,
5615
+ "grad_norm": 0.41227588057518005,
5616
+ "learning_rate": 2.5732001377884947e-06,
5617
+ "loss": 0.8524208068847656,
5618
+ "mean_token_accuracy": 0.806971238553524,
5619
+ "num_tokens": 3562863.0,
5620
+ "step": 5060
5621
+ },
5622
+ {
5623
+ "entropy": 0.9029248341917991,
5624
+ "epoch": 0.8732721870559359,
5625
+ "grad_norm": 0.597358226776123,
5626
+ "learning_rate": 2.5387530141233206e-06,
5627
+ "loss": 0.8965885162353515,
5628
+ "mean_token_accuracy": 0.7993085518479347,
5629
+ "num_tokens": 3700006.0,
5630
+ "step": 5070
5631
+ },
5632
+ {
5633
+ "entropy": 0.8976858526468277,
5634
+ "epoch": 0.8749946174051587,
5635
+ "grad_norm": 0.49744129180908203,
5636
+ "learning_rate": 2.504305890458147e-06,
5637
+ "loss": 0.8925239562988281,
5638
+ "mean_token_accuracy": 0.7995666921138763,
5639
+ "num_tokens": 3839690.0,
5640
+ "step": 5080
5641
+ },
5642
+ {
5643
+ "entropy": 0.9567562997341156,
5644
+ "epoch": 0.8767170477543814,
5645
+ "grad_norm": 0.4290732443332672,
5646
+ "learning_rate": 2.469858766792973e-06,
5647
+ "loss": 0.9521247863769531,
5648
+ "mean_token_accuracy": 0.7859670892357826,
5649
+ "num_tokens": 3972939.0,
5650
+ "step": 5090
5651
+ },
5652
+ {
5653
+ "entropy": 0.9057339891791344,
5654
+ "epoch": 0.8784394781036042,
5655
+ "grad_norm": 0.4539242684841156,
5656
+ "learning_rate": 2.435411643127799e-06,
5657
+ "loss": 0.89413480758667,
5658
+ "mean_token_accuracy": 0.7966278985142707,
5659
+ "num_tokens": 4106327.0,
5660
+ "step": 5100
5661
+ },
5662
+ {
5663
+ "epoch": 0.8784394781036042,
5664
+ "eval_entropy": 0.889962231752624,
5665
+ "eval_loss": 0.8865664005279541,
5666
+ "eval_mean_token_accuracy": 0.8005476904811438,
5667
+ "eval_num_tokens": 4106327.0,
5668
+ "eval_runtime": 2216.2675,
5669
+ "eval_samples_per_second": 4.657,
5670
+ "eval_steps_per_second": 1.165,
5671
+ "step": 5100
5672
+ },
5673
+ {
5674
+ "entropy": 0.8694351434707641,
5675
+ "epoch": 0.8801619084528269,
5676
+ "grad_norm": 0.4723507761955261,
5677
+ "learning_rate": 2.400964519462625e-06,
5678
+ "loss": 0.8546782493591308,
5679
+ "mean_token_accuracy": 0.8053493618965148,
5680
+ "num_tokens": 4247505.0,
5681
+ "step": 5110
5682
+ },
5683
+ {
5684
+ "entropy": 0.8673742339015007,
5685
+ "epoch": 0.8818843388020496,
5686
+ "grad_norm": 0.4222690463066101,
5687
+ "learning_rate": 2.3665173957974513e-06,
5688
+ "loss": 0.8601169586181641,
5689
+ "mean_token_accuracy": 0.8059160619974136,
5690
+ "num_tokens": 4381996.0,
5691
+ "step": 5120
5692
+ },
5693
+ {
5694
+ "entropy": 0.8701221957802773,
5695
+ "epoch": 0.8836067691512725,
5696
+ "grad_norm": 0.365893691778183,
5697
+ "learning_rate": 2.332070272132277e-06,
5698
+ "loss": 0.8605199813842773,
5699
+ "mean_token_accuracy": 0.8050397902727127,
5700
+ "num_tokens": 4519936.0,
5701
+ "step": 5130
5702
+ },
5703
+ {
5704
+ "entropy": 0.9002679541707039,
5705
+ "epoch": 0.8853291995004952,
5706
+ "grad_norm": 0.41854503750801086,
5707
+ "learning_rate": 2.2976231484671035e-06,
5708
+ "loss": 0.8952171325683593,
5709
+ "mean_token_accuracy": 0.7985835552215577,
5710
+ "num_tokens": 4657396.0,
5711
+ "step": 5140
5712
+ },
5713
+ {
5714
+ "entropy": 0.8730725973844529,
5715
+ "epoch": 0.887051629849718,
5716
+ "grad_norm": 0.4184947907924652,
5717
+ "learning_rate": 2.263176024801929e-06,
5718
+ "loss": 0.874971866607666,
5719
+ "mean_token_accuracy": 0.8019029393792152,
5720
+ "num_tokens": 4793630.0,
5721
+ "step": 5150
5722
+ },
5723
+ {
5724
+ "entropy": 0.8665931671857834,
5725
+ "epoch": 0.8887740601989407,
5726
+ "grad_norm": 0.415822297334671,
5727
+ "learning_rate": 2.2287289011367552e-06,
5728
+ "loss": 0.8619186401367187,
5729
+ "mean_token_accuracy": 0.8056416228413582,
5730
+ "num_tokens": 4932856.0,
5731
+ "step": 5160
5732
+ },
5733
+ {
5734
+ "entropy": 0.8457090623676777,
5735
+ "epoch": 0.8904964905481635,
5736
+ "grad_norm": 0.5788813829421997,
5737
+ "learning_rate": 2.1942817774715815e-06,
5738
+ "loss": 0.8397070884704589,
5739
+ "mean_token_accuracy": 0.8103364869952202,
5740
+ "num_tokens": 5069138.0,
5741
+ "step": 5170
5742
+ },
5743
+ {
5744
+ "entropy": 0.8679139018058777,
5745
+ "epoch": 0.8922189208973862,
5746
+ "grad_norm": 0.4427867531776428,
5747
+ "learning_rate": 2.1598346538064074e-06,
5748
+ "loss": 0.8484273910522461,
5749
+ "mean_token_accuracy": 0.8065137073397637,
5750
+ "num_tokens": 5209109.0,
5751
+ "step": 5180
5752
+ },
5753
+ {
5754
+ "entropy": 0.8567999623715877,
5755
+ "epoch": 0.893941351246609,
5756
+ "grad_norm": 0.4930930435657501,
5757
+ "learning_rate": 2.1253875301412333e-06,
5758
+ "loss": 0.8500759124755859,
5759
+ "mean_token_accuracy": 0.8062406674027442,
5760
+ "num_tokens": 5347756.0,
5761
+ "step": 5190
5762
+ },
5763
+ {
5764
+ "entropy": 0.9153756201267242,
5765
+ "epoch": 0.8956637815958317,
5766
+ "grad_norm": 0.5475414395332336,
5767
+ "learning_rate": 2.090940406476059e-06,
5768
+ "loss": 0.913720703125,
5769
+ "mean_token_accuracy": 0.798624849319458,
5770
+ "num_tokens": 5484156.0,
5771
+ "step": 5200
5772
+ },
5773
+ {
5774
+ "epoch": 0.8956637815958317,
5775
+ "eval_entropy": 0.8903410844865671,
5776
+ "eval_loss": 0.8864830732345581,
5777
+ "eval_mean_token_accuracy": 0.8005986783865671,
5778
+ "eval_num_tokens": 5484156.0,
5779
+ "eval_runtime": 2199.5544,
5780
+ "eval_samples_per_second": 4.692,
5781
+ "eval_steps_per_second": 1.173,
5782
+ "step": 5200
5783
+ },
5784
+ {
5785
+ "entropy": 0.8756707474589348,
5786
+ "epoch": 0.8973862119450545,
5787
+ "grad_norm": 0.4377118945121765,
5788
+ "learning_rate": 2.0564932828108855e-06,
5789
+ "loss": 0.8742427825927734,
5790
+ "mean_token_accuracy": 0.8020416736602783,
5791
+ "num_tokens": 5620110.0,
5792
+ "step": 5210
5793
+ },
5794
+ {
5795
+ "entropy": 0.9009493932127952,
5796
+ "epoch": 0.8991086422942772,
5797
+ "grad_norm": 0.385874480009079,
5798
+ "learning_rate": 2.022046159145712e-06,
5799
+ "loss": 0.9016963958740234,
5800
+ "mean_token_accuracy": 0.7976742312312126,
5801
+ "num_tokens": 5756362.0,
5802
+ "step": 5220
5803
+ },
5804
+ {
5805
+ "entropy": 0.8948132812976837,
5806
+ "epoch": 0.9008310726434999,
5807
+ "grad_norm": 0.4303382337093353,
5808
+ "learning_rate": 1.9875990354805373e-06,
5809
+ "loss": 0.8826349258422852,
5810
+ "mean_token_accuracy": 0.7993564903736115,
5811
+ "num_tokens": 5893634.0,
5812
+ "step": 5230
5813
+ },
5814
+ {
5815
+ "entropy": 0.9013346582651138,
5816
+ "epoch": 0.9025535029927227,
5817
+ "grad_norm": 0.43458035588264465,
5818
+ "learning_rate": 1.9531519118153636e-06,
5819
+ "loss": 0.8878791809082032,
5820
+ "mean_token_accuracy": 0.7967622518539429,
5821
+ "num_tokens": 6031714.0,
5822
+ "step": 5240
5823
+ },
5824
+ {
5825
+ "entropy": 0.900329303741455,
5826
+ "epoch": 0.9042759333419454,
5827
+ "grad_norm": 0.38891515135765076,
5828
+ "learning_rate": 1.9187047881501895e-06,
5829
+ "loss": 0.8943260192871094,
5830
+ "mean_token_accuracy": 0.7962967336177826,
5831
+ "num_tokens": 6167156.0,
5832
+ "step": 5250
5833
+ },
5834
+ {
5835
+ "entropy": 0.8946349762380124,
5836
+ "epoch": 0.9059983636911683,
5837
+ "grad_norm": 0.46829134225845337,
5838
+ "learning_rate": 1.8842576644850158e-06,
5839
+ "loss": 0.8836095809936524,
5840
+ "mean_token_accuracy": 0.7979741424322129,
5841
+ "num_tokens": 6304394.0,
5842
+ "step": 5260
5843
+ },
5844
+ {
5845
+ "entropy": 0.861349032074213,
5846
+ "epoch": 0.907720794040391,
5847
+ "grad_norm": 0.44049137830734253,
5848
+ "learning_rate": 1.8498105408198417e-06,
5849
+ "loss": 0.8538787841796875,
5850
+ "mean_token_accuracy": 0.8079524412751198,
5851
+ "num_tokens": 6445581.0,
5852
+ "step": 5270
5853
+ },
5854
+ {
5855
+ "entropy": 0.8150664329528808,
5856
+ "epoch": 0.9094432243896138,
5857
+ "grad_norm": 0.41160744428634644,
5858
+ "learning_rate": 1.8153634171546678e-06,
5859
+ "loss": 0.8064168930053711,
5860
+ "mean_token_accuracy": 0.8146737694740296,
5861
+ "num_tokens": 6586676.0,
5862
+ "step": 5280
5863
+ },
5864
+ {
5865
+ "entropy": 0.8552966974675655,
5866
+ "epoch": 0.9111656547388365,
5867
+ "grad_norm": 0.4296620190143585,
5868
+ "learning_rate": 1.7809162934894939e-06,
5869
+ "loss": 0.8459642410278321,
5870
+ "mean_token_accuracy": 0.8074897557497025,
5871
+ "num_tokens": 6725692.0,
5872
+ "step": 5290
5873
+ },
5874
+ {
5875
+ "entropy": 0.917242094874382,
5876
+ "epoch": 0.9128880850880593,
5877
+ "grad_norm": 0.4194020926952362,
5878
+ "learning_rate": 1.7464691698243198e-06,
5879
+ "loss": 0.9086408615112305,
5880
+ "mean_token_accuracy": 0.7936558544635772,
5881
+ "num_tokens": 6864077.0,
5882
+ "step": 5300
5883
+ },
5884
+ {
5885
+ "epoch": 0.9128880850880593,
5886
+ "eval_entropy": 0.8895538462104376,
5887
+ "eval_loss": 0.886420488357544,
5888
+ "eval_mean_token_accuracy": 0.8006243253576344,
5889
+ "eval_num_tokens": 6864077.0,
5890
+ "eval_runtime": 2221.5521,
5891
+ "eval_samples_per_second": 4.646,
5892
+ "eval_steps_per_second": 1.162,
5893
+ "step": 5300
5894
+ },
5895
+ {
5896
+ "entropy": 0.8805374369025231,
5897
+ "epoch": 0.914610515437282,
5898
+ "grad_norm": 0.37022849917411804,
5899
+ "learning_rate": 1.7120220461591459e-06,
5900
+ "loss": 0.8718128204345703,
5901
+ "mean_token_accuracy": 0.802679243683815,
5902
+ "num_tokens": 6998242.0,
5903
+ "step": 5310
5904
+ },
5905
+ {
5906
+ "entropy": 0.9066009625792504,
5907
+ "epoch": 0.9163329457865047,
5908
+ "grad_norm": 0.6012776494026184,
5909
+ "learning_rate": 1.677574922493972e-06,
5910
+ "loss": 0.9060131072998047,
5911
+ "mean_token_accuracy": 0.7947992786765099,
5912
+ "num_tokens": 7136912.0,
5913
+ "step": 5320
5914
+ },
5915
+ {
5916
+ "entropy": 0.8422975018620491,
5917
+ "epoch": 0.9180553761357275,
5918
+ "grad_norm": 0.4443066716194153,
5919
+ "learning_rate": 1.643127798828798e-06,
5920
+ "loss": 0.8419797897338868,
5921
+ "mean_token_accuracy": 0.8104378402233123,
5922
+ "num_tokens": 7279298.0,
5923
+ "step": 5330
5924
+ },
5925
+ {
5926
+ "entropy": 0.8393626287579536,
5927
+ "epoch": 0.9197778064849502,
5928
+ "grad_norm": 0.42755192518234253,
5929
+ "learning_rate": 1.608680675163624e-06,
5930
+ "loss": 0.8286300659179687,
5931
+ "mean_token_accuracy": 0.8120000720024109,
5932
+ "num_tokens": 7416488.0,
5933
+ "step": 5340
5934
+ },
5935
+ {
5936
+ "entropy": 0.8612012237310409,
5937
+ "epoch": 0.921500236834173,
5938
+ "grad_norm": 0.42363837361335754,
5939
+ "learning_rate": 1.57423355149845e-06,
5940
+ "loss": 0.8535400390625,
5941
+ "mean_token_accuracy": 0.8065411135554313,
5942
+ "num_tokens": 7555188.0,
5943
+ "step": 5350
5944
+ },
5945
+ {
5946
+ "entropy": 0.8624228790402413,
5947
+ "epoch": 0.9232226671833957,
5948
+ "grad_norm": 0.4368661642074585,
5949
+ "learning_rate": 1.5397864278332761e-06,
5950
+ "loss": 0.8525060653686524,
5951
+ "mean_token_accuracy": 0.8070851415395737,
5952
+ "num_tokens": 7694113.0,
5953
+ "step": 5360
5954
+ },
5955
+ {
5956
+ "entropy": 0.89511788636446,
5957
+ "epoch": 0.9249450975326186,
5958
+ "grad_norm": 0.44434964656829834,
5959
+ "learning_rate": 1.5053393041681022e-06,
5960
+ "loss": 0.8826745033264161,
5961
+ "mean_token_accuracy": 0.8017610549926758,
5962
+ "num_tokens": 7831182.0,
5963
+ "step": 5370
5964
+ },
5965
+ {
5966
+ "entropy": 0.8900723055005073,
5967
+ "epoch": 0.9266675278818413,
5968
+ "grad_norm": 0.3896443545818329,
5969
+ "learning_rate": 1.4708921805029281e-06,
5970
+ "loss": 0.8831830978393554,
5971
+ "mean_token_accuracy": 0.800842498242855,
5972
+ "num_tokens": 7967772.0,
5973
+ "step": 5380
5974
+ },
5975
+ {
5976
+ "entropy": 0.8480780109763145,
5977
+ "epoch": 0.9283899582310641,
5978
+ "grad_norm": 0.47855135798454285,
5979
+ "learning_rate": 1.4364450568377542e-06,
5980
+ "loss": 0.8430942535400391,
5981
+ "mean_token_accuracy": 0.8073634237051011,
5982
+ "num_tokens": 8109699.0,
5983
+ "step": 5390
5984
+ },
5985
+ {
5986
+ "entropy": 0.8448813557624817,
5987
+ "epoch": 0.9301123885802868,
5988
+ "grad_norm": 0.40834853053092957,
5989
+ "learning_rate": 1.4019979331725803e-06,
5990
+ "loss": 0.8393930435180664,
5991
+ "mean_token_accuracy": 0.8103328227996827,
5992
+ "num_tokens": 8247058.0,
5993
+ "step": 5400
5994
+ },
5995
+ {
5996
+ "epoch": 0.9301123885802868,
5997
+ "eval_entropy": 0.8897033281933194,
5998
+ "eval_loss": 0.8863592147827148,
5999
+ "eval_mean_token_accuracy": 0.8006240403592148,
6000
+ "eval_num_tokens": 8247058.0,
6001
+ "eval_runtime": 2208.4615,
6002
+ "eval_samples_per_second": 4.673,
6003
+ "eval_steps_per_second": 1.169,
6004
+ "step": 5400
6005
+ },
6006
+ {
6007
+ "entropy": 0.8857871651649475,
6008
+ "epoch": 0.9318348189295096,
6009
+ "grad_norm": 0.4397316575050354,
6010
+ "learning_rate": 1.3675508095074064e-06,
6011
+ "loss": 0.8728399276733398,
6012
+ "mean_token_accuracy": 0.8018044486641884,
6013
+ "num_tokens": 8384933.0,
6014
+ "step": 5410
6015
+ },
6016
+ {
6017
+ "entropy": 0.9105540379881859,
6018
+ "epoch": 0.9335572492787323,
6019
+ "grad_norm": 0.4545707702636719,
6020
+ "learning_rate": 1.3331036858422323e-06,
6021
+ "loss": 0.9085962295532226,
6022
+ "mean_token_accuracy": 0.795919018983841,
6023
+ "num_tokens": 8526364.0,
6024
+ "step": 5420
6025
+ },
6026
+ {
6027
+ "entropy": 0.8637060999870301,
6028
+ "epoch": 0.935279679627955,
6029
+ "grad_norm": 0.36590105295181274,
6030
+ "learning_rate": 1.2986565621770584e-06,
6031
+ "loss": 0.8607066154479981,
6032
+ "mean_token_accuracy": 0.8060595214366912,
6033
+ "num_tokens": 8664594.0,
6034
+ "step": 5430
6035
+ },
6036
+ {
6037
+ "entropy": 0.9462354958057404,
6038
+ "epoch": 0.9370021099771778,
6039
+ "grad_norm": 0.4243916869163513,
6040
+ "learning_rate": 1.2642094385118845e-06,
6041
+ "loss": 0.9325800895690918,
6042
+ "mean_token_accuracy": 0.7894501313567162,
6043
+ "num_tokens": 8798030.0,
6044
+ "step": 5440
6045
+ },
6046
+ {
6047
+ "entropy": 0.8978266701102257,
6048
+ "epoch": 0.9387245403264005,
6049
+ "grad_norm": 0.4084837734699249,
6050
+ "learning_rate": 1.2297623148467104e-06,
6051
+ "loss": 0.8851606369018554,
6052
+ "mean_token_accuracy": 0.8009923383593559,
6053
+ "num_tokens": 8937218.0,
6054
+ "step": 5450
6055
+ },
6056
+ {
6057
+ "entropy": 0.8797792851924896,
6058
+ "epoch": 0.9404469706756233,
6059
+ "grad_norm": 0.4102013409137726,
6060
+ "learning_rate": 1.1953151911815365e-06,
6061
+ "loss": 0.8767299652099609,
6062
+ "mean_token_accuracy": 0.8016744539141655,
6063
+ "num_tokens": 9075609.0,
6064
+ "step": 5460
6065
+ },
6066
+ {
6067
+ "entropy": 0.877577556669712,
6068
+ "epoch": 0.942169401024846,
6069
+ "grad_norm": 0.40450313687324524,
6070
+ "learning_rate": 1.1608680675163626e-06,
6071
+ "loss": 0.8800636291503906,
6072
+ "mean_token_accuracy": 0.8021259069442749,
6073
+ "num_tokens": 9215492.0,
6074
+ "step": 5470
6075
+ },
6076
+ {
6077
+ "entropy": 0.8801092639565468,
6078
+ "epoch": 0.9438918313740688,
6079
+ "grad_norm": 0.4468408226966858,
6080
+ "learning_rate": 1.1264209438511885e-06,
6081
+ "loss": 0.8776715278625489,
6082
+ "mean_token_accuracy": 0.8040337398648262,
6083
+ "num_tokens": 9355581.0,
6084
+ "step": 5480
6085
+ },
6086
+ {
6087
+ "entropy": 0.8833095215260982,
6088
+ "epoch": 0.9456142617232915,
6089
+ "grad_norm": 0.5369368195533752,
6090
+ "learning_rate": 1.0919738201860146e-06,
6091
+ "loss": 0.8716952323913574,
6092
+ "mean_token_accuracy": 0.8020655795931816,
6093
+ "num_tokens": 9492214.0,
6094
+ "step": 5490
6095
+ },
6096
+ {
6097
+ "entropy": 0.9180077627301216,
6098
+ "epoch": 0.9473366920725144,
6099
+ "grad_norm": 0.4173908829689026,
6100
+ "learning_rate": 1.0575266965208405e-06,
6101
+ "loss": 0.9027196884155273,
6102
+ "mean_token_accuracy": 0.7945086941123009,
6103
+ "num_tokens": 9630657.0,
6104
+ "step": 5500
6105
+ },
6106
+ {
6107
+ "epoch": 0.9473366920725144,
6108
+ "eval_entropy": 0.89089541919515,
6109
+ "eval_loss": 0.8862592577934265,
6110
+ "eval_mean_token_accuracy": 0.8006462655479434,
6111
+ "eval_num_tokens": 9630657.0,
6112
+ "eval_runtime": 2217.3988,
6113
+ "eval_samples_per_second": 4.655,
6114
+ "eval_steps_per_second": 1.164,
6115
+ "step": 5500
6116
+ },
6117
+ {
6118
+ "entropy": 0.9045361965894699,
6119
+ "epoch": 0.9490591224217371,
6120
+ "grad_norm": 0.44494736194610596,
6121
+ "learning_rate": 1.0230795728556668e-06,
6122
+ "loss": 0.9016293525695801,
6123
+ "mean_token_accuracy": 0.7991117894649505,
6124
+ "num_tokens": 9765697.0,
6125
+ "step": 5510
6126
+ },
6127
+ {
6128
+ "entropy": 0.908899100124836,
6129
+ "epoch": 0.9507815527709598,
6130
+ "grad_norm": 0.4863620102405548,
6131
+ "learning_rate": 9.886324491904926e-07,
6132
+ "loss": 0.9006387710571289,
6133
+ "mean_token_accuracy": 0.7961707264184952,
6134
+ "num_tokens": 9902667.0,
6135
+ "step": 5520
6136
+ },
6137
+ {
6138
+ "entropy": 0.9102652281522751,
6139
+ "epoch": 0.9525039831201826,
6140
+ "grad_norm": 0.5516873598098755,
6141
+ "learning_rate": 9.541853255253187e-07,
6142
+ "loss": 0.8945722579956055,
6143
+ "mean_token_accuracy": 0.7974153965711593,
6144
+ "num_tokens": 10038391.0,
6145
+ "step": 5530
6146
+ },
6147
+ {
6148
+ "entropy": 0.8632800906896592,
6149
+ "epoch": 0.9542264134694053,
6150
+ "grad_norm": 0.420607328414917,
6151
+ "learning_rate": 9.197382018601447e-07,
6152
+ "loss": 0.8471515655517579,
6153
+ "mean_token_accuracy": 0.8071994781494141,
6154
+ "num_tokens": 10173686.0,
6155
+ "step": 5540
6156
+ },
6157
+ {
6158
+ "entropy": 0.885202006995678,
6159
+ "epoch": 0.9559488438186281,
6160
+ "grad_norm": 0.4669937789440155,
6161
+ "learning_rate": 8.852910781949708e-07,
6162
+ "loss": 0.886192512512207,
6163
+ "mean_token_accuracy": 0.7994555085897446,
6164
+ "num_tokens": 10311741.0,
6165
+ "step": 5550
6166
+ },
6167
+ {
6168
+ "entropy": 0.8559036374092102,
6169
+ "epoch": 0.9576712741678508,
6170
+ "grad_norm": 0.46770304441452026,
6171
+ "learning_rate": 8.508439545297968e-07,
6172
+ "loss": 0.8477782249450684,
6173
+ "mean_token_accuracy": 0.8067097589373589,
6174
+ "num_tokens": 10453099.0,
6175
+ "step": 5560
6176
+ },
6177
+ {
6178
+ "entropy": 0.9203044310212135,
6179
+ "epoch": 0.9593937045170736,
6180
+ "grad_norm": 0.4336691200733185,
6181
+ "learning_rate": 8.163968308646229e-07,
6182
+ "loss": 0.9105629920959473,
6183
+ "mean_token_accuracy": 0.7944615721702576,
6184
+ "num_tokens": 10591433.0,
6185
+ "step": 5570
6186
+ },
6187
+ {
6188
+ "entropy": 0.8992323987185955,
6189
+ "epoch": 0.9611161348662963,
6190
+ "grad_norm": 0.4164210557937622,
6191
+ "learning_rate": 7.819497071994489e-07,
6192
+ "loss": 0.8976916313171387,
6193
+ "mean_token_accuracy": 0.7977223128080368,
6194
+ "num_tokens": 10728991.0,
6195
+ "step": 5580
6196
+ },
6197
+ {
6198
+ "entropy": 0.8688705429434777,
6199
+ "epoch": 0.9628385652155191,
6200
+ "grad_norm": 0.4670332372188568,
6201
+ "learning_rate": 7.47502583534275e-07,
6202
+ "loss": 0.8597276687622071,
6203
+ "mean_token_accuracy": 0.8061973169445992,
6204
+ "num_tokens": 10867884.0,
6205
+ "step": 5590
6206
+ },
6207
+ {
6208
+ "entropy": 0.9053284600377083,
6209
+ "epoch": 0.9645609955647418,
6210
+ "grad_norm": 0.3938577175140381,
6211
+ "learning_rate": 7.13055459869101e-07,
6212
+ "loss": 0.8982341766357422,
6213
+ "mean_token_accuracy": 0.7990050241351128,
6214
+ "num_tokens": 11001110.0,
6215
+ "step": 5600
6216
+ },
6217
+ {
6218
+ "epoch": 0.9645609955647418,
6219
+ "eval_entropy": 0.8901571277521785,
6220
+ "eval_loss": 0.8862133026123047,
6221
+ "eval_mean_token_accuracy": 0.8006129994590077,
6222
+ "eval_num_tokens": 11001110.0,
6223
+ "eval_runtime": 2221.0741,
6224
+ "eval_samples_per_second": 4.647,
6225
+ "eval_steps_per_second": 1.162,
6226
+ "step": 5600
6227
+ },
6228
+ {
6229
+ "entropy": 0.909729877114296,
6230
+ "epoch": 0.9662834259139647,
6231
+ "grad_norm": NaN,
6232
+ "learning_rate": 6.78608336203927e-07,
6233
+ "loss": 0.9095258712768555,
6234
+ "mean_token_accuracy": 0.8012943014502525,
6235
+ "num_tokens": 11139523.0,
6236
+ "step": 5610
6237
+ },
6238
+ {
6239
+ "entropy": 0.8407525554299354,
6240
+ "epoch": 0.9680058562631874,
6241
+ "grad_norm": 0.43725696206092834,
6242
+ "learning_rate": 6.441612125387531e-07,
6243
+ "loss": 0.8371444702148437,
6244
+ "mean_token_accuracy": 0.810321681201458,
6245
+ "num_tokens": 11276005.0,
6246
+ "step": 5620
6247
+ },
6248
+ {
6249
+ "entropy": 0.901355029642582,
6250
+ "epoch": 0.9697282866124101,
6251
+ "grad_norm": 0.5541648268699646,
6252
+ "learning_rate": 6.097140888735791e-07,
6253
+ "loss": 0.897189712524414,
6254
+ "mean_token_accuracy": 0.7999485448002815,
6255
+ "num_tokens": 11409561.0,
6256
+ "step": 5630
6257
+ },
6258
+ {
6259
+ "entropy": 0.9109830990433693,
6260
+ "epoch": 0.9714507169616329,
6261
+ "grad_norm": 0.5093613266944885,
6262
+ "learning_rate": 5.752669652084052e-07,
6263
+ "loss": 0.9014092445373535,
6264
+ "mean_token_accuracy": 0.7963637366890908,
6265
+ "num_tokens": 11545625.0,
6266
+ "step": 5640
6267
+ },
6268
+ {
6269
+ "entropy": 0.8920518733561039,
6270
+ "epoch": 0.9731731473108556,
6271
+ "grad_norm": 0.43631625175476074,
6272
+ "learning_rate": 5.408198415432312e-07,
6273
+ "loss": 0.8796001434326172,
6274
+ "mean_token_accuracy": 0.7989365607500076,
6275
+ "num_tokens": 11680063.0,
6276
+ "step": 5650
6277
+ },
6278
+ {
6279
+ "entropy": 0.9035694569349288,
6280
+ "epoch": 0.9748955776600784,
6281
+ "grad_norm": 0.40075695514678955,
6282
+ "learning_rate": 5.063727178780573e-07,
6283
+ "loss": 0.8951308250427246,
6284
+ "mean_token_accuracy": 0.7964143276214599,
6285
+ "num_tokens": 11819814.0,
6286
+ "step": 5660
6287
+ },
6288
+ {
6289
+ "entropy": 0.9101156964898109,
6290
+ "epoch": 0.9766180080093011,
6291
+ "grad_norm": 0.3921527564525604,
6292
+ "learning_rate": 4.719255942128833e-07,
6293
+ "loss": 0.9054186820983887,
6294
+ "mean_token_accuracy": 0.7962990015745163,
6295
+ "num_tokens": 11958312.0,
6296
+ "step": 5670
6297
+ },
6298
+ {
6299
+ "entropy": 0.8994546860456467,
6300
+ "epoch": 0.9783404383585239,
6301
+ "grad_norm": 0.4922078549861908,
6302
+ "learning_rate": 4.3747847054770927e-07,
6303
+ "loss": 0.8862943649291992,
6304
+ "mean_token_accuracy": 0.7998211741447449,
6305
+ "num_tokens": 12098750.0,
6306
+ "step": 5680
6307
+ },
6308
+ {
6309
+ "entropy": 0.8943607084453106,
6310
+ "epoch": 0.9800628687077466,
6311
+ "grad_norm": 0.35828521847724915,
6312
+ "learning_rate": 4.030313468825353e-07,
6313
+ "loss": 0.8841873168945312,
6314
+ "mean_token_accuracy": 0.8006264850497246,
6315
+ "num_tokens": 12238206.0,
6316
+ "step": 5690
6317
+ },
6318
+ {
6319
+ "entropy": 0.8610037744045258,
6320
+ "epoch": 0.9817852990569694,
6321
+ "grad_norm": 0.4048604965209961,
6322
+ "learning_rate": 3.6858422321736136e-07,
6323
+ "loss": 0.850681209564209,
6324
+ "mean_token_accuracy": 0.8062293291091919,
6325
+ "num_tokens": 12373855.0,
6326
+ "step": 5700
6327
+ },
6328
+ {
6329
+ "epoch": 0.9817852990569694,
6330
+ "eval_entropy": 0.8902986454021464,
6331
+ "eval_loss": 0.8861925601959229,
6332
+ "eval_mean_token_accuracy": 0.8006364003210648,
6333
+ "eval_num_tokens": 12373855.0,
6334
+ "eval_runtime": 2198.4056,
6335
+ "eval_samples_per_second": 4.695,
6336
+ "eval_steps_per_second": 1.174,
6337
+ "step": 5700
6338
+ },
6339
+ {
6340
+ "entropy": 0.8190450638532638,
6341
+ "epoch": 0.9835077294061921,
6342
+ "grad_norm": 0.46052828431129456,
6343
+ "learning_rate": 3.341370995521874e-07,
6344
+ "loss": 0.8094842910766602,
6345
+ "mean_token_accuracy": 0.8147952750325202,
6346
+ "num_tokens": 12510961.0,
6347
+ "step": 5710
6348
+ },
6349
+ {
6350
+ "entropy": 0.9092415377497673,
6351
+ "epoch": 0.9852301597554148,
6352
+ "grad_norm": 0.46878325939178467,
6353
+ "learning_rate": 2.9968997588701345e-07,
6354
+ "loss": 0.8955598831176758,
6355
+ "mean_token_accuracy": 0.7964127615094185,
6356
+ "num_tokens": 12650748.0,
6357
+ "step": 5720
6358
+ },
6359
+ {
6360
+ "entropy": 0.8547648385167121,
6361
+ "epoch": 0.9869525901046377,
6362
+ "grad_norm": 0.47159335017204285,
6363
+ "learning_rate": 2.652428522218395e-07,
6364
+ "loss": 0.8555225372314453,
6365
+ "mean_token_accuracy": 0.807997515797615,
6366
+ "num_tokens": 12793599.0,
6367
+ "step": 5730
6368
+ },
6369
+ {
6370
+ "entropy": 0.8646257355809212,
6371
+ "epoch": 0.9886750204538604,
6372
+ "grad_norm": 0.48610877990722656,
6373
+ "learning_rate": 2.3079572855666552e-07,
6374
+ "loss": 0.8589855194091797,
6375
+ "mean_token_accuracy": 0.806700712442398,
6376
+ "num_tokens": 12932824.0,
6377
+ "step": 5740
6378
+ },
6379
+ {
6380
+ "entropy": 0.8452193960547447,
6381
+ "epoch": 0.9903974508030832,
6382
+ "grad_norm": 0.4377225637435913,
6383
+ "learning_rate": 1.9634860489149156e-07,
6384
+ "loss": 0.8359296798706055,
6385
+ "mean_token_accuracy": 0.8110934183001518,
6386
+ "num_tokens": 13071288.0,
6387
+ "step": 5750
6388
+ },
6389
+ {
6390
+ "entropy": 0.8705169402062893,
6391
+ "epoch": 0.9921198811523059,
6392
+ "grad_norm": 0.3535923659801483,
6393
+ "learning_rate": 1.619014812263176e-07,
6394
+ "loss": 0.8605812072753907,
6395
+ "mean_token_accuracy": 0.804425074160099,
6396
+ "num_tokens": 13209166.0,
6397
+ "step": 5760
6398
+ },
6399
+ {
6400
+ "entropy": 0.9036453366279602,
6401
+ "epoch": 0.9938423115015287,
6402
+ "grad_norm": 0.38716036081314087,
6403
+ "learning_rate": 1.2745435756114365e-07,
6404
+ "loss": 0.9031167030334473,
6405
+ "mean_token_accuracy": 0.7980457425117493,
6406
+ "num_tokens": 13344912.0,
6407
+ "step": 5770
6408
+ },
6409
+ {
6410
+ "entropy": 0.8937770411372185,
6411
+ "epoch": 0.9955647418507514,
6412
+ "grad_norm": 0.442220002412796,
6413
+ "learning_rate": 9.300723389596969e-08,
6414
+ "loss": 0.886353874206543,
6415
+ "mean_token_accuracy": 0.7987162381410599,
6416
+ "num_tokens": 13482642.0,
6417
+ "step": 5780
6418
+ },
6419
+ {
6420
+ "entropy": 0.8754376731812954,
6421
+ "epoch": 0.9972871721999742,
6422
+ "grad_norm": 0.3896678388118744,
6423
+ "learning_rate": 5.856011023079573e-08,
6424
+ "loss": 0.8634020805358886,
6425
+ "mean_token_accuracy": 0.803331832587719,
6426
+ "num_tokens": 13615820.0,
6427
+ "step": 5790
6428
+ },
6429
+ {
6430
+ "entropy": 0.891757769882679,
6431
+ "epoch": 0.9990096025491969,
6432
+ "grad_norm": 0.3823208808898926,
6433
+ "learning_rate": 2.4112986565621773e-08,
6434
+ "loss": 0.8841445922851563,
6435
+ "mean_token_accuracy": 0.8023776292800904,
6436
+ "num_tokens": 13750656.0,
6437
+ "step": 5800
6438
+ },
6439
+ {
6440
+ "epoch": 0.9990096025491969,
6441
+ "eval_entropy": 0.8907162497113814,
6442
+ "eval_loss": 0.8861898183822632,
6443
+ "eval_mean_token_accuracy": 0.8006550548659512,
6444
+ "eval_num_tokens": 13750656.0,
6445
+ "eval_runtime": 2196.3123,
6446
+ "eval_samples_per_second": 4.699,
6447
+ "eval_steps_per_second": 1.175,
6448
+ "step": 5800
6449
+ },
6450
+ {
6451
+ "epoch": 1.0,
6452
+ "eval_entropy": 0.8907080711504601,
6453
+ "eval_loss": 0.8861844539642334,
6454
+ "eval_mean_token_accuracy": 0.8006432617602077,
6455
+ "eval_num_tokens": 13829843.0,
6456
+ "eval_runtime": 2194.6346,
6457
+ "eval_samples_per_second": 4.703,
6458
+ "eval_steps_per_second": 1.176,
6459
+ "step": 5806
6460
  }
6461
  ],
6462
  "logging_steps": 10,
 
6471
  "should_evaluate": false,
6472
  "should_log": false,
6473
  "should_save": true,
6474
+ "should_training_stop": true
6475
  },
6476
  "attributes": {}
6477
  }
6478
  },
6479
+ "total_flos": 9.53462095817474e+17,
6480
  "train_batch_size": 2,
6481
  "trial_name": null,
6482
  "trial_params": null