sujalgawas commited on
Commit
d285824
·
verified ·
1 Parent(s): d3089a3

Training in progress, step 5400, checkpoint

Browse files
last-checkpoint/adapter_config.json CHANGED
@@ -32,9 +32,9 @@
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",
 
32
  "revision": null,
33
  "target_modules": [
34
  "q_proj",
 
35
  "o_proj",
36
+ "k_proj",
37
+ "v_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 sha256:86c2b324b8049a18ce1ba034f6aba65985584aa14901fa58e73e8ab119745c91
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 sha256:95d5dbf3ccb5eae5ac9fbedaf3a3bf948c0bd9f0e56e9fa24be21b44b23bf9cb
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:dcdb3748172857f29588339ceb5799f4474929a2fc74897129d647054ac61d53
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:edff8728f15b32954602ef9d3cf6e0a55beee203f9b419667f25948eb333f5b0
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 sha256:8053fa83978164af3b1105d8792ddd5aaa5fa308eacd91789cad36b689c1f7e5
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:a1dc2197e9ad250585b3ac3735f65e4c4e30b977a4b11f1897913f7d241839d3
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,
@@ -5336,12 +5336,678 @@
5336
  "eval_samples_per_second": 5.161,
5337
  "eval_steps_per_second": 1.291,
5338
  "step": 4800
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5339
  }
5340
  ],
5341
  "logging_steps": 10,
5342
- "max_steps": 5806,
5343
  "num_input_tokens_seen": 0,
5344
- "num_train_epochs": 1,
5345
  "save_steps": 200,
5346
  "stateful_callbacks": {
5347
  "TrainerControl": {
@@ -5355,7 +6021,7 @@
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": 1.406642787365679,
6
  "eval_steps": 100,
7
+ "global_step": 5400,
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": 0.9813777908682824,
5342
+ "epoch": 1.252946922826441,
5343
+ "grad_norm": 0.44488945603370667,
5344
+ "learning_rate": 7.473300338629852e-06,
5345
+ "loss": 0.9760551452636719,
5346
+ "mean_token_accuracy": 0.7828159511089325,
5347
+ "num_tokens": 129388.0,
5348
+ "step": 4810
5349
+ },
5350
+ {
5351
+ "entropy": 1.028295949101448,
5352
+ "epoch": 1.2555519374796482,
5353
+ "grad_norm": 0.476211279630661,
5354
+ "learning_rate": 7.447251888512634e-06,
5355
+ "loss": 1.026865005493164,
5356
+ "mean_token_accuracy": 0.7739313766360283,
5357
+ "num_tokens": 256578.0,
5358
+ "step": 4820
5359
+ },
5360
+ {
5361
+ "entropy": 0.993380619585514,
5362
+ "epoch": 1.2581569521328557,
5363
+ "grad_norm": 0.5022156834602356,
5364
+ "learning_rate": 7.4212034383954155e-06,
5365
+ "loss": 0.9900455474853516,
5366
+ "mean_token_accuracy": 0.7809839487075806,
5367
+ "num_tokens": 379760.0,
5368
+ "step": 4830
5369
+ },
5370
+ {
5371
+ "entropy": 0.9588794216513634,
5372
+ "epoch": 1.2607619667860632,
5373
+ "grad_norm": 0.43847885727882385,
5374
+ "learning_rate": 7.395154988278198e-06,
5375
+ "loss": 0.9578507423400879,
5376
+ "mean_token_accuracy": 0.7875250384211541,
5377
+ "num_tokens": 506218.0,
5378
+ "step": 4840
5379
+ },
5380
+ {
5381
+ "entropy": 0.981762844324112,
5382
+ "epoch": 1.2633669814392707,
5383
+ "grad_norm": 0.44927820563316345,
5384
+ "learning_rate": 7.36910653816098e-06,
5385
+ "loss": 0.9703155517578125,
5386
+ "mean_token_accuracy": 0.7809026747941971,
5387
+ "num_tokens": 630994.0,
5388
+ "step": 4850
5389
+ },
5390
+ {
5391
+ "entropy": 0.9776830449700356,
5392
+ "epoch": 1.265971996092478,
5393
+ "grad_norm": 0.4348759055137634,
5394
+ "learning_rate": 7.343058088043762e-06,
5395
+ "loss": 0.9691827774047852,
5396
+ "mean_token_accuracy": 0.7856391072273254,
5397
+ "num_tokens": 757625.0,
5398
+ "step": 4860
5399
+ },
5400
+ {
5401
+ "entropy": 0.9467781752347946,
5402
+ "epoch": 1.2685770107456855,
5403
+ "grad_norm": 0.4643247127532959,
5404
+ "learning_rate": 7.3170096379265445e-06,
5405
+ "loss": 0.9435815811157227,
5406
+ "mean_token_accuracy": 0.7907302647829055,
5407
+ "num_tokens": 881836.0,
5408
+ "step": 4870
5409
+ },
5410
+ {
5411
+ "entropy": 0.9590273395180702,
5412
+ "epoch": 1.2711820253988928,
5413
+ "grad_norm": 0.45526987314224243,
5414
+ "learning_rate": 7.290961187809326e-06,
5415
+ "loss": 0.9674400329589844,
5416
+ "mean_token_accuracy": 0.785734324157238,
5417
+ "num_tokens": 1011144.0,
5418
+ "step": 4880
5419
+ },
5420
+ {
5421
+ "entropy": 1.017872877418995,
5422
+ "epoch": 1.2737870400521003,
5423
+ "grad_norm": 0.42657098174095154,
5424
+ "learning_rate": 7.264912737692108e-06,
5425
+ "loss": 1.0152156829833985,
5426
+ "mean_token_accuracy": 0.7740847021341324,
5427
+ "num_tokens": 1136047.0,
5428
+ "step": 4890
5429
+ },
5430
+ {
5431
+ "entropy": 0.993815653026104,
5432
+ "epoch": 1.2763920547053078,
5433
+ "grad_norm": 0.4295169711112976,
5434
+ "learning_rate": 7.23886428757489e-06,
5435
+ "loss": 0.9871231079101562,
5436
+ "mean_token_accuracy": 0.7813043370842934,
5437
+ "num_tokens": 1258878.0,
5438
+ "step": 4900
5439
+ },
5440
+ {
5441
+ "epoch": 1.2763920547053078,
5442
+ "eval_entropy": 0.9970914693472669,
5443
+ "eval_loss": 0.9884027242660522,
5444
+ "eval_mean_token_accuracy": 0.7808390200208133,
5445
+ "eval_num_tokens": 1258878.0,
5446
+ "eval_runtime": 1248.5811,
5447
+ "eval_samples_per_second": 5.451,
5448
+ "eval_steps_per_second": 1.363,
5449
+ "step": 4900
5450
+ },
5451
+ {
5452
+ "entropy": 1.0345384523272514,
5453
+ "epoch": 1.278997069358515,
5454
+ "grad_norm": 0.46928712725639343,
5455
+ "learning_rate": 7.212815837457672e-06,
5456
+ "loss": 1.0300195693969727,
5457
+ "mean_token_accuracy": 0.771189559996128,
5458
+ "num_tokens": 1386649.0,
5459
+ "step": 4910
5460
+ },
5461
+ {
5462
+ "entropy": 1.0029998540878295,
5463
+ "epoch": 1.2816020840117226,
5464
+ "grad_norm": 0.48189452290534973,
5465
+ "learning_rate": 7.186767387340454e-06,
5466
+ "loss": 0.9906700134277344,
5467
+ "mean_token_accuracy": 0.7785976707935334,
5468
+ "num_tokens": 1512338.0,
5469
+ "step": 4920
5470
+ },
5471
+ {
5472
+ "entropy": 1.0033065855503083,
5473
+ "epoch": 1.2842070986649299,
5474
+ "grad_norm": 0.4588858187198639,
5475
+ "learning_rate": 7.160718937223236e-06,
5476
+ "loss": 0.9927248001098633,
5477
+ "mean_token_accuracy": 0.7797123953700066,
5478
+ "num_tokens": 1642624.0,
5479
+ "step": 4930
5480
+ },
5481
+ {
5482
+ "entropy": 0.9549823224544525,
5483
+ "epoch": 1.2868121133181374,
5484
+ "grad_norm": 0.43219390511512756,
5485
+ "learning_rate": 7.134670487106018e-06,
5486
+ "loss": 0.9539813041687012,
5487
+ "mean_token_accuracy": 0.7869110450148582,
5488
+ "num_tokens": 1771847.0,
5489
+ "step": 4940
5490
+ },
5491
+ {
5492
+ "entropy": 1.0237484708428384,
5493
+ "epoch": 1.289417127971345,
5494
+ "grad_norm": 0.4907780885696411,
5495
+ "learning_rate": 7.108622036988799e-06,
5496
+ "loss": 1.0278969764709474,
5497
+ "mean_token_accuracy": 0.7715816020965576,
5498
+ "num_tokens": 1900902.0,
5499
+ "step": 4950
5500
+ },
5501
+ {
5502
+ "entropy": 1.006957694888115,
5503
+ "epoch": 1.2920221426245524,
5504
+ "grad_norm": 0.4545274078845978,
5505
+ "learning_rate": 7.082573586871582e-06,
5506
+ "loss": 1.0091020584106445,
5507
+ "mean_token_accuracy": 0.7763800770044327,
5508
+ "num_tokens": 2031777.0,
5509
+ "step": 4960
5510
+ },
5511
+ {
5512
+ "entropy": 0.9983339875936508,
5513
+ "epoch": 1.2946271572777597,
5514
+ "grad_norm": 0.4333556592464447,
5515
+ "learning_rate": 7.056525136754364e-06,
5516
+ "loss": 0.984560203552246,
5517
+ "mean_token_accuracy": 0.7822976499795914,
5518
+ "num_tokens": 2156527.0,
5519
+ "step": 4970
5520
+ },
5521
+ {
5522
+ "entropy": 0.9773911476135254,
5523
+ "epoch": 1.2972321719309672,
5524
+ "grad_norm": 0.4380306303501129,
5525
+ "learning_rate": 7.030476686637145e-06,
5526
+ "loss": 0.9723411560058594,
5527
+ "mean_token_accuracy": 0.7831587105989456,
5528
+ "num_tokens": 2280664.0,
5529
+ "step": 4980
5530
+ },
5531
+ {
5532
+ "entropy": 1.0176811680197715,
5533
+ "epoch": 1.2998371865841745,
5534
+ "grad_norm": 0.49647819995880127,
5535
+ "learning_rate": 7.004428236519928e-06,
5536
+ "loss": 1.0118232727050782,
5537
+ "mean_token_accuracy": 0.7755638837814331,
5538
+ "num_tokens": 2408726.0,
5539
+ "step": 4990
5540
+ },
5541
+ {
5542
+ "entropy": 1.003194873034954,
5543
+ "epoch": 1.302442201237382,
5544
+ "grad_norm": 0.4423670470714569,
5545
+ "learning_rate": 6.978379786402709e-06,
5546
+ "loss": 0.9979192733764648,
5547
+ "mean_token_accuracy": 0.7790161743760109,
5548
+ "num_tokens": 2538321.0,
5549
+ "step": 5000
5550
+ },
5551
+ {
5552
+ "epoch": 1.302442201237382,
5553
+ "eval_entropy": 0.9890262984991354,
5554
+ "eval_loss": 0.9879328608512878,
5555
+ "eval_mean_token_accuracy": 0.7809134237774671,
5556
+ "eval_num_tokens": 2538321.0,
5557
+ "eval_runtime": 1248.3546,
5558
+ "eval_samples_per_second": 5.452,
5559
+ "eval_steps_per_second": 1.363,
5560
+ "step": 5000
5561
+ },
5562
+ {
5563
+ "entropy": 0.9911179274320603,
5564
+ "epoch": 1.3050472158905895,
5565
+ "grad_norm": 0.4474965035915375,
5566
+ "learning_rate": 6.952331336285491e-06,
5567
+ "loss": 0.9846304893493653,
5568
+ "mean_token_accuracy": 0.7800104588270187,
5569
+ "num_tokens": 2664423.0,
5570
+ "step": 5010
5571
+ },
5572
+ {
5573
+ "entropy": 0.9809451669454574,
5574
+ "epoch": 1.3076522305437968,
5575
+ "grad_norm": 0.4665301442146301,
5576
+ "learning_rate": 6.926282886168274e-06,
5577
+ "loss": 0.9809820175170898,
5578
+ "mean_token_accuracy": 0.7841726258397103,
5579
+ "num_tokens": 2790315.0,
5580
+ "step": 5020
5581
+ },
5582
+ {
5583
+ "entropy": 0.9852373987436295,
5584
+ "epoch": 1.3102572451970043,
5585
+ "grad_norm": 0.429098516702652,
5586
+ "learning_rate": 6.900234436051055e-06,
5587
+ "loss": 0.9816387176513672,
5588
+ "mean_token_accuracy": 0.7819439515471458,
5589
+ "num_tokens": 2915995.0,
5590
+ "step": 5030
5591
+ },
5592
+ {
5593
+ "entropy": 0.986951345205307,
5594
+ "epoch": 1.3128622598502115,
5595
+ "grad_norm": 0.45305219292640686,
5596
+ "learning_rate": 6.874185985933837e-06,
5597
+ "loss": 0.9891517639160157,
5598
+ "mean_token_accuracy": 0.780052900314331,
5599
+ "num_tokens": 3041830.0,
5600
+ "step": 5040
5601
+ },
5602
+ {
5603
+ "entropy": 1.0265516340732574,
5604
+ "epoch": 1.315467274503419,
5605
+ "grad_norm": 0.4666403532028198,
5606
+ "learning_rate": 6.848137535816619e-06,
5607
+ "loss": 1.0243612289428712,
5608
+ "mean_token_accuracy": 0.7726057410240174,
5609
+ "num_tokens": 3167296.0,
5610
+ "step": 5050
5611
+ },
5612
+ {
5613
+ "entropy": 1.0306162551045417,
5614
+ "epoch": 1.3180722891566266,
5615
+ "grad_norm": 0.39735814929008484,
5616
+ "learning_rate": 6.8220890856994014e-06,
5617
+ "loss": 1.0236353874206543,
5618
+ "mean_token_accuracy": 0.7734616458415985,
5619
+ "num_tokens": 3292887.0,
5620
+ "step": 5060
5621
+ },
5622
+ {
5623
+ "entropy": 1.0042320653796195,
5624
+ "epoch": 1.320677303809834,
5625
+ "grad_norm": 0.39348119497299194,
5626
+ "learning_rate": 6.796040635582184e-06,
5627
+ "loss": 1.0001495361328125,
5628
+ "mean_token_accuracy": 0.7790237024426461,
5629
+ "num_tokens": 3418112.0,
5630
+ "step": 5070
5631
+ },
5632
+ {
5633
+ "entropy": 1.0145965054631234,
5634
+ "epoch": 1.3232823184630413,
5635
+ "grad_norm": 0.4478921592235565,
5636
+ "learning_rate": 6.7699921854649655e-06,
5637
+ "loss": 1.0137309074401855,
5638
+ "mean_token_accuracy": 0.7771003857254982,
5639
+ "num_tokens": 3548473.0,
5640
+ "step": 5080
5641
+ },
5642
+ {
5643
+ "entropy": 1.0103399023413657,
5644
+ "epoch": 1.3258873331162488,
5645
+ "grad_norm": 0.5050984621047974,
5646
+ "learning_rate": 6.7439437353477475e-06,
5647
+ "loss": 0.999553108215332,
5648
+ "mean_token_accuracy": 0.7785449594259262,
5649
+ "num_tokens": 3673127.0,
5650
+ "step": 5090
5651
+ },
5652
+ {
5653
+ "entropy": 0.966312225162983,
5654
+ "epoch": 1.3284923477694561,
5655
+ "grad_norm": 0.43490949273109436,
5656
+ "learning_rate": 6.717895285230529e-06,
5657
+ "loss": 0.9707491874694825,
5658
+ "mean_token_accuracy": 0.7834598645567894,
5659
+ "num_tokens": 3802026.0,
5660
+ "step": 5100
5661
+ },
5662
+ {
5663
+ "epoch": 1.3284923477694561,
5664
+ "eval_entropy": 0.9884775571971607,
5665
+ "eval_loss": 0.9877337217330933,
5666
+ "eval_mean_token_accuracy": 0.7809631075057805,
5667
+ "eval_num_tokens": 3802026.0,
5668
+ "eval_runtime": 1249.8046,
5669
+ "eval_samples_per_second": 5.446,
5670
+ "eval_steps_per_second": 1.362,
5671
+ "step": 5100
5672
+ },
5673
+ {
5674
+ "entropy": 0.9976687163114548,
5675
+ "epoch": 1.3310973624226636,
5676
+ "grad_norm": 0.43964383006095886,
5677
+ "learning_rate": 6.691846835113312e-06,
5678
+ "loss": 0.9837272644042969,
5679
+ "mean_token_accuracy": 0.7808806389570236,
5680
+ "num_tokens": 3930388.0,
5681
+ "step": 5110
5682
+ },
5683
+ {
5684
+ "entropy": 0.983721150457859,
5685
+ "epoch": 1.3337023770758711,
5686
+ "grad_norm": 0.46595776081085205,
5687
+ "learning_rate": 6.665798384996093e-06,
5688
+ "loss": 0.9791852951049804,
5689
+ "mean_token_accuracy": 0.7797340914607048,
5690
+ "num_tokens": 4057438.0,
5691
+ "step": 5120
5692
+ },
5693
+ {
5694
+ "entropy": 1.0189708486199378,
5695
+ "epoch": 1.3363073917290784,
5696
+ "grad_norm": 0.4384433329105377,
5697
+ "learning_rate": 6.639749934878875e-06,
5698
+ "loss": 1.0155632019042968,
5699
+ "mean_token_accuracy": 0.7752848476171493,
5700
+ "num_tokens": 4184226.0,
5701
+ "step": 5130
5702
+ },
5703
+ {
5704
+ "entropy": 0.9738220989704132,
5705
+ "epoch": 1.338912406382286,
5706
+ "grad_norm": 0.4892994463443756,
5707
+ "learning_rate": 6.613701484761658e-06,
5708
+ "loss": 0.9773561477661132,
5709
+ "mean_token_accuracy": 0.7810323163866997,
5710
+ "num_tokens": 4315468.0,
5711
+ "step": 5140
5712
+ },
5713
+ {
5714
+ "entropy": 0.9959368094801903,
5715
+ "epoch": 1.3415174210354932,
5716
+ "grad_norm": 0.4051533043384552,
5717
+ "learning_rate": 6.587653034644439e-06,
5718
+ "loss": 0.9895273208618164,
5719
+ "mean_token_accuracy": 0.7815038353204727,
5720
+ "num_tokens": 4439960.0,
5721
+ "step": 5150
5722
+ },
5723
+ {
5724
+ "entropy": 0.9800890773534775,
5725
+ "epoch": 1.3441224356887007,
5726
+ "grad_norm": 0.4586341679096222,
5727
+ "learning_rate": 6.561604584527222e-06,
5728
+ "loss": 0.9737453460693359,
5729
+ "mean_token_accuracy": 0.7814203977584839,
5730
+ "num_tokens": 4566056.0,
5731
+ "step": 5160
5732
+ },
5733
+ {
5734
+ "entropy": 1.0000663980841638,
5735
+ "epoch": 1.3467274503419082,
5736
+ "grad_norm": 0.4102465510368347,
5737
+ "learning_rate": 6.535556134410003e-06,
5738
+ "loss": 0.9939519882202148,
5739
+ "mean_token_accuracy": 0.7790467858314514,
5740
+ "num_tokens": 4694925.0,
5741
+ "step": 5170
5742
+ },
5743
+ {
5744
+ "entropy": 1.0039643123745918,
5745
+ "epoch": 1.3493324649951157,
5746
+ "grad_norm": 0.4231637418270111,
5747
+ "learning_rate": 6.509507684292785e-06,
5748
+ "loss": 1.001540756225586,
5749
+ "mean_token_accuracy": 0.7798496216535569,
5750
+ "num_tokens": 4817681.0,
5751
+ "step": 5180
5752
+ },
5753
+ {
5754
+ "entropy": 0.9824537605047226,
5755
+ "epoch": 1.351937479648323,
5756
+ "grad_norm": 0.4193444550037384,
5757
+ "learning_rate": 6.483459234175568e-06,
5758
+ "loss": 0.9902861595153809,
5759
+ "mean_token_accuracy": 0.7809780746698379,
5760
+ "num_tokens": 4946004.0,
5761
+ "step": 5190
5762
+ },
5763
+ {
5764
+ "entropy": 0.9934640824794769,
5765
+ "epoch": 1.3545424943015305,
5766
+ "grad_norm": 0.5171741843223572,
5767
+ "learning_rate": 6.457410784058349e-06,
5768
+ "loss": 0.9897693634033203,
5769
+ "mean_token_accuracy": 0.7789523780345917,
5770
+ "num_tokens": 5071552.0,
5771
+ "step": 5200
5772
+ },
5773
+ {
5774
+ "epoch": 1.3545424943015305,
5775
+ "eval_entropy": 0.9874165067941686,
5776
+ "eval_loss": 0.9873093962669373,
5777
+ "eval_mean_token_accuracy": 0.7809983336757409,
5778
+ "eval_num_tokens": 5071552.0,
5779
+ "eval_runtime": 1248.5888,
5780
+ "eval_samples_per_second": 5.451,
5781
+ "eval_steps_per_second": 1.363,
5782
+ "step": 5200
5783
+ },
5784
+ {
5785
+ "entropy": 0.9975464969873429,
5786
+ "epoch": 1.3571475089547378,
5787
+ "grad_norm": 0.43779075145721436,
5788
+ "learning_rate": 6.431362333941131e-06,
5789
+ "loss": 0.9847593307495117,
5790
+ "mean_token_accuracy": 0.7821353122591972,
5791
+ "num_tokens": 5199409.0,
5792
+ "step": 5210
5793
+ },
5794
+ {
5795
+ "entropy": 0.9890801250934601,
5796
+ "epoch": 1.3597525236079453,
5797
+ "grad_norm": 0.46792900562286377,
5798
+ "learning_rate": 6.405313883823912e-06,
5799
+ "loss": 0.9886545181274414,
5800
+ "mean_token_accuracy": 0.7808847963809967,
5801
+ "num_tokens": 5327018.0,
5802
+ "step": 5220
5803
+ },
5804
+ {
5805
+ "entropy": 1.0165737330913545,
5806
+ "epoch": 1.3623575382611528,
5807
+ "grad_norm": 0.422018438577652,
5808
+ "learning_rate": 6.379265433706695e-06,
5809
+ "loss": 1.0161245346069336,
5810
+ "mean_token_accuracy": 0.7733713835477829,
5811
+ "num_tokens": 5453326.0,
5812
+ "step": 5230
5813
+ },
5814
+ {
5815
+ "entropy": 0.9966152131557464,
5816
+ "epoch": 1.36496255291436,
5817
+ "grad_norm": 0.46802228689193726,
5818
+ "learning_rate": 6.353216983589477e-06,
5819
+ "loss": 0.9952875137329101,
5820
+ "mean_token_accuracy": 0.7801799476146698,
5821
+ "num_tokens": 5579340.0,
5822
+ "step": 5240
5823
+ },
5824
+ {
5825
+ "entropy": 1.013704551756382,
5826
+ "epoch": 1.3675675675675676,
5827
+ "grad_norm": 0.4642789363861084,
5828
+ "learning_rate": 6.327168533472258e-06,
5829
+ "loss": 1.0044668197631836,
5830
+ "mean_token_accuracy": 0.7750307902693748,
5831
+ "num_tokens": 5704206.0,
5832
+ "step": 5250
5833
+ },
5834
+ {
5835
+ "entropy": 0.9664336591959,
5836
+ "epoch": 1.3701725822207749,
5837
+ "grad_norm": 0.45772185921669006,
5838
+ "learning_rate": 6.301120083355041e-06,
5839
+ "loss": 0.9622204780578614,
5840
+ "mean_token_accuracy": 0.7862247511744499,
5841
+ "num_tokens": 5832067.0,
5842
+ "step": 5260
5843
+ },
5844
+ {
5845
+ "entropy": 0.9767679080367089,
5846
+ "epoch": 1.3727775968739824,
5847
+ "grad_norm": 0.4938032627105713,
5848
+ "learning_rate": 6.2750716332378225e-06,
5849
+ "loss": 0.9772611618041992,
5850
+ "mean_token_accuracy": 0.7834762305021286,
5851
+ "num_tokens": 5956416.0,
5852
+ "step": 5270
5853
+ },
5854
+ {
5855
+ "entropy": 0.997693844139576,
5856
+ "epoch": 1.3753826115271899,
5857
+ "grad_norm": 0.4085782766342163,
5858
+ "learning_rate": 6.249023183120605e-06,
5859
+ "loss": 0.993937873840332,
5860
+ "mean_token_accuracy": 0.7790059551596642,
5861
+ "num_tokens": 6080387.0,
5862
+ "step": 5280
5863
+ },
5864
+ {
5865
+ "entropy": 0.9551204591989517,
5866
+ "epoch": 1.3779876261803974,
5867
+ "grad_norm": 0.47124868631362915,
5868
+ "learning_rate": 6.2229747330033865e-06,
5869
+ "loss": 0.9600910186767578,
5870
+ "mean_token_accuracy": 0.7857999742031098,
5871
+ "num_tokens": 6210495.0,
5872
+ "step": 5290
5873
+ },
5874
+ {
5875
+ "entropy": 0.9895543649792671,
5876
+ "epoch": 1.3805926408336047,
5877
+ "grad_norm": 0.4795711934566498,
5878
+ "learning_rate": 6.196926282886169e-06,
5879
+ "loss": 0.980061149597168,
5880
+ "mean_token_accuracy": 0.7814426705241203,
5881
+ "num_tokens": 6338971.0,
5882
+ "step": 5300
5883
+ },
5884
+ {
5885
+ "epoch": 1.3805926408336047,
5886
+ "eval_entropy": 0.9903583783310532,
5887
+ "eval_loss": 0.9870790839195251,
5888
+ "eval_mean_token_accuracy": 0.781017405095868,
5889
+ "eval_num_tokens": 6338971.0,
5890
+ "eval_runtime": 1249.0996,
5891
+ "eval_samples_per_second": 5.449,
5892
+ "eval_steps_per_second": 1.363,
5893
+ "step": 5300
5894
+ },
5895
+ {
5896
+ "entropy": 1.0024344369769096,
5897
+ "epoch": 1.3831976554868122,
5898
+ "grad_norm": 0.44125476479530334,
5899
+ "learning_rate": 6.1708778327689515e-06,
5900
+ "loss": 1.0059074401855468,
5901
+ "mean_token_accuracy": 0.7774184092879295,
5902
+ "num_tokens": 6465148.0,
5903
+ "step": 5310
5904
+ },
5905
+ {
5906
+ "entropy": 0.9910042881965637,
5907
+ "epoch": 1.3858026701400195,
5908
+ "grad_norm": 0.4707449972629547,
5909
+ "learning_rate": 6.144829382651733e-06,
5910
+ "loss": 0.987660026550293,
5911
+ "mean_token_accuracy": 0.7800036445260048,
5912
+ "num_tokens": 6592528.0,
5913
+ "step": 5320
5914
+ },
5915
+ {
5916
+ "entropy": 0.9776637852191925,
5917
+ "epoch": 1.388407684793227,
5918
+ "grad_norm": 0.40415525436401367,
5919
+ "learning_rate": 6.118780932534515e-06,
5920
+ "loss": 0.9776216506958008,
5921
+ "mean_token_accuracy": 0.7837252721190453,
5922
+ "num_tokens": 6718090.0,
5923
+ "step": 5330
5924
+ },
5925
+ {
5926
+ "entropy": 0.9891742005944252,
5927
+ "epoch": 1.3910126994464345,
5928
+ "grad_norm": 0.4758605659008026,
5929
+ "learning_rate": 6.092732482417296e-06,
5930
+ "loss": 0.9910886764526368,
5931
+ "mean_token_accuracy": 0.7781824618577957,
5932
+ "num_tokens": 6845948.0,
5933
+ "step": 5340
5934
+ },
5935
+ {
5936
+ "entropy": 1.007858295738697,
5937
+ "epoch": 1.3936177140996417,
5938
+ "grad_norm": 0.47813597321510315,
5939
+ "learning_rate": 6.066684032300079e-06,
5940
+ "loss": 1.0086344718933105,
5941
+ "mean_token_accuracy": 0.7754964306950569,
5942
+ "num_tokens": 6973246.0,
5943
+ "step": 5350
5944
+ },
5945
+ {
5946
+ "entropy": 1.0145272225141526,
5947
+ "epoch": 1.3962227287528493,
5948
+ "grad_norm": 0.4583241939544678,
5949
+ "learning_rate": 6.040635582182861e-06,
5950
+ "loss": 1.0088977813720703,
5951
+ "mean_token_accuracy": 0.775096683204174,
5952
+ "num_tokens": 7099698.0,
5953
+ "step": 5360
5954
+ },
5955
+ {
5956
+ "entropy": 1.0434660747647286,
5957
+ "epoch": 1.3988277434060565,
5958
+ "grad_norm": 0.4353461265563965,
5959
+ "learning_rate": 6.014587132065642e-06,
5960
+ "loss": 1.0382314682006837,
5961
+ "mean_token_accuracy": 0.7711483478546143,
5962
+ "num_tokens": 7223734.0,
5963
+ "step": 5370
5964
+ },
5965
+ {
5966
+ "entropy": 0.990787972509861,
5967
+ "epoch": 1.401432758059264,
5968
+ "grad_norm": 0.47876155376434326,
5969
+ "learning_rate": 5.988538681948425e-06,
5970
+ "loss": 0.989743995666504,
5971
+ "mean_token_accuracy": 0.7813950344920159,
5972
+ "num_tokens": 7350371.0,
5973
+ "step": 5380
5974
+ },
5975
+ {
5976
+ "entropy": 1.0080674409866333,
5977
+ "epoch": 1.4040377727124715,
5978
+ "grad_norm": 0.5123191475868225,
5979
+ "learning_rate": 5.962490231831206e-06,
5980
+ "loss": 1.002880859375,
5981
+ "mean_token_accuracy": 0.7779936477541923,
5982
+ "num_tokens": 7477903.0,
5983
+ "step": 5390
5984
+ },
5985
+ {
5986
+ "entropy": 1.0048462897539139,
5987
+ "epoch": 1.406642787365679,
5988
+ "grad_norm": 0.4499814212322235,
5989
+ "learning_rate": 5.936441781713989e-06,
5990
+ "loss": 0.999144458770752,
5991
+ "mean_token_accuracy": 0.7778741553425789,
5992
+ "num_tokens": 7604005.0,
5993
+ "step": 5400
5994
+ },
5995
+ {
5996
+ "epoch": 1.406642787365679,
5997
+ "eval_entropy": 0.9904807468068586,
5998
+ "eval_loss": 0.9868780970573425,
5999
+ "eval_mean_token_accuracy": 0.7810666585290754,
6000
+ "eval_num_tokens": 7604005.0,
6001
+ "eval_runtime": 1248.7827,
6002
+ "eval_samples_per_second": 5.45,
6003
+ "eval_steps_per_second": 1.363,
6004
+ "step": 5400
6005
  }
6006
  ],
6007
  "logging_steps": 10,
6008
+ "max_steps": 7678,
6009
  "num_input_tokens_seen": 0,
6010
+ "num_train_epochs": 2,
6011
  "save_steps": 200,
6012
  "stateful_callbacks": {
6013
  "TrainerControl": {
 
6021
  "attributes": {}
6022
  }
6023
  },
6024
+ "total_flos": 8.792910420571587e+17,
6025
  "train_batch_size": 2,
6026
  "trial_name": null,
6027
  "trial_params": null
last-checkpoint/training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e193b6114ef398d374d4a4437acc56d06a32e2263d65fa1d64344fb64467f82c
3
  size 5777
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9eb97127f3633f0387d329b923ad0716a30b1001fb17ad9a7247f8ed8a4f5dab
3
  size 5777