DylanJHJ commited on
Commit
f842e8d
·
1 Parent(s): 6030f03

add flatten models

Browse files
Files changed (37) hide show
  1. .gitattributes +71 -0
  2. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/config.json +45 -0
  3. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/model.safetensors +3 -0
  4. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/optimizer.pt +3 -0
  5. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/rng_state_0.pth +3 -0
  6. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/rng_state_1.pth +3 -0
  7. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/rng_state_2.pth +3 -0
  8. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/rng_state_3.pth +3 -0
  9. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/scheduler.pt +3 -0
  10. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/trainer_state.json +0 -0
  11. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/training_args.bin +3 -0
  12. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-15000/removed_as_it_was_not_better_than10k +0 -0
  13. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-20000/removed_as_it_was_not_better_than10k +0 -0
  14. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/config.json +45 -0
  15. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/model.safetensors +3 -0
  16. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/optimizer.pt +3 -0
  17. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/rng_state_0.pth +3 -0
  18. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/rng_state_1.pth +3 -0
  19. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/rng_state_2.pth +3 -0
  20. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/rng_state_3.pth +3 -0
  21. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/scheduler.pt +3 -0
  22. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/trainer_state.json +3859 -0
  23. modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/training_args.bin +3 -0
  24. modernbert-crux-researchy-flatten.b64_n512.1e-4/config.json +45 -0
  25. modernbert-crux-researchy-flatten.b64_n512.1e-4/model.safetensors +3 -0
  26. modernbert-crux-researchy-flatten.b64_n512.1e-4/optimizer.pt +3 -0
  27. modernbert-crux-researchy-flatten.b64_n512.1e-4/rng_state_0.pth +3 -0
  28. modernbert-crux-researchy-flatten.b64_n512.1e-4/rng_state_1.pth +3 -0
  29. modernbert-crux-researchy-flatten.b64_n512.1e-4/rng_state_2.pth +3 -0
  30. modernbert-crux-researchy-flatten.b64_n512.1e-4/rng_state_3.pth +3 -0
  31. modernbert-crux-researchy-flatten.b64_n512.1e-4/runs/Dec09_23-49-04_nid005106/events.out.tfevents.1765316992.nid005106.127904.0 +3 -0
  32. modernbert-crux-researchy-flatten.b64_n512.1e-4/scheduler.pt +3 -0
  33. modernbert-crux-researchy-flatten.b64_n512.1e-4/special_tokens_map.json +37 -0
  34. modernbert-crux-researchy-flatten.b64_n512.1e-4/tokenizer.json +0 -0
  35. modernbert-crux-researchy-flatten.b64_n512.1e-4/tokenizer_config.json +945 -0
  36. modernbert-crux-researchy-flatten.b64_n512.1e-4/trainer_state.json +0 -0
  37. modernbert-crux-researchy-flatten.b64_n512.1e-4/training_args.bin +3 -0
.gitattributes CHANGED
@@ -279,3 +279,74 @@ modernbert-crux-researchy-pos_high.neg_zero.b64_n512.1e-4/checkpoint-1000/optimi
279
  modernbert-crux-researchy-pos_high.neg_zero.b64_n512.1e-4/checkpoint-1000/model.safetensors filter=lfs diff=lfs merge=lfs -text
280
  modernbert-crux-researchy-pos_high.neg_zero.b64_n512.1e-4/checkpoint-5000/optimizer.pt filter=lfs diff=lfs merge=lfs -text
281
  modernbert-crux-researchy-pos_high.neg_zero.b64_n512.1e-4/checkpoint-5000/model.safetensors filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
279
  modernbert-crux-researchy-pos_high.neg_zero.b64_n512.1e-4/checkpoint-1000/model.safetensors filter=lfs diff=lfs merge=lfs -text
280
  modernbert-crux-researchy-pos_high.neg_zero.b64_n512.1e-4/checkpoint-5000/optimizer.pt filter=lfs diff=lfs merge=lfs -text
281
  modernbert-crux-researchy-pos_high.neg_zero.b64_n512.1e-4/checkpoint-5000/model.safetensors filter=lfs diff=lfs merge=lfs -text
282
+ modernbert-crux-researchy-flatten.b64_n512.1e-4/optimizer.pt filter=lfs diff=lfs merge=lfs -text
283
+ .git/lfs/objects/fe/d5/fed561d644f364b4cc3ae8de2596c1b176c1c8a72072585e4390c0165e177921 filter=lfs diff=lfs merge=lfs -text
284
+ .git/lfs/objects/a7/da/a7da725f272bc74bf7faed1da0f06dc58f59abddd1e63aa70331ff48a1ee26c1 filter=lfs diff=lfs merge=lfs -text
285
+ .git/lfs/objects/18/ef/18efe024f9f1fe0828d15b2a5708d9f261f22855423e44d6fd7a608ad00a7626 filter=lfs diff=lfs merge=lfs -text
286
+ .git/lfs/objects/18/4e/184e07bfc2a21327b4e5fd8edc5fd7ed90e168350518fb02a27678f579a3ad7d filter=lfs diff=lfs merge=lfs -text
287
+ .git/lfs/objects/0c/c6/0cc67f734f3371f13ed8f78fff3083a5ee4f5f040412b7489f3686d1e482034a filter=lfs diff=lfs merge=lfs -text
288
+ .git/lfs/objects/28/b3/28b36c921fc8b693e9208fa86afef83f72eb55eeaf55c1b41afae215001a0e48 filter=lfs diff=lfs merge=lfs -text
289
+ .git/lfs/objects/28/07/2807d1b7df155770a5e864df0ee89ea6f0795cf38c0060dba1cdfa1d49e3dc3f filter=lfs diff=lfs merge=lfs -text
290
+ .git/lfs/objects/b1/59/b1596910b0819f86fa165fdd9d0c164c06cc89cc67800f3a147971cc888a0b07 filter=lfs diff=lfs merge=lfs -text
291
+ .git/lfs/objects/b1/5b/b15ba4290589d511225e3f58454e76de8d19b132165de3fcac60ab1c70a65633 filter=lfs diff=lfs merge=lfs -text
292
+ .git/lfs/objects/b8/ad/b8ada9e06dee388d37b51ddf517e5b69bf11300672cba1a5db48734653355204 filter=lfs diff=lfs merge=lfs -text
293
+ .git/lfs/objects/aa/8c/aa8c5adba1414915add445988d1ec2592aa44891aba0180dbd6c0f47504c6725 filter=lfs diff=lfs merge=lfs -text
294
+ .git/lfs/objects/4b/f6/4bf67c8d687a414eecf2c66a278f63643cc7e1dbaa26d63ca88af5b5188693ff filter=lfs diff=lfs merge=lfs -text
295
+ .git/lfs/objects/e9/a0/e9a0a654e22480bcf5126396d113e715f5caa24826879e7205896cef7f128b62 filter=lfs diff=lfs merge=lfs -text
296
+ .git/lfs/objects/04/3f/043f7fa0353cd10c61c107aa7ea5bc9958147ee56556a9f623b34215d0d860c1 filter=lfs diff=lfs merge=lfs -text
297
+ .git/lfs/objects/89/3f/893f28ff7225a481eb82e3016532b489ca8699d60a92c6276f90f14145e1a4a3 filter=lfs diff=lfs merge=lfs -text
298
+ .git/lfs/objects/d9/e0/d9e06a5bc494d3c36e9ecbb6be4dad504eb20f45a117f07fd875cd5b7e328194 filter=lfs diff=lfs merge=lfs -text
299
+ .git/lfs/objects/cf/a1/cfa1c78f7a2568549e47191e0958d4abb3a721b038df646b13f4813947c68f2c filter=lfs diff=lfs merge=lfs -text
300
+ .git/lfs/objects/9a/49/9a4951c27ce2715e60c85ab7821df248e1c954e116cb3679749b6f06f907e5fc filter=lfs diff=lfs merge=lfs -text
301
+ .git/lfs/objects/09/04/0904555a863ff6d0ac55c9e1d292dce677e6a2180be364f66d90ff64f37d5dec filter=lfs diff=lfs merge=lfs -text
302
+ .git/lfs/objects/09/12/09124f13c2a80878f7a76139e35498a52654ce8c0970f86504b23665805f28dd filter=lfs diff=lfs merge=lfs -text
303
+ .git/lfs/objects/da/e6/dae6b41fe1fe0491afc26540e574d5a1b65c5ff3285b4742a2aecaf966416162 filter=lfs diff=lfs merge=lfs -text
304
+ .git/lfs/objects/ad/d2/add217b4d59007e77c96c396aeab4d86c56e387095de8ec70d77f12782efd546 filter=lfs diff=lfs merge=lfs -text
305
+ .git/lfs/objects/a3/dc/a3dcd81c5de2e5f864bc9bb7563eea6c07cc9177e7e042d311a5b31f858cbb77 filter=lfs diff=lfs merge=lfs -text
306
+ .git/lfs/objects/83/f0/83f07c64dc00bceb661a5db33fbba0361af657ed1cd530bc5850eb23fed589d7 filter=lfs diff=lfs merge=lfs -text
307
+ .git/lfs/objects/f3/a7/f3a7839859a7e8db113f782a07698206cdabb48426685e1e64de580f2af7497d filter=lfs diff=lfs merge=lfs -text
308
+ .git/lfs/objects/61/96/61962063e846b55d6475831b5735d49cdf7d75812a9c9a25b9aff6d78b2a1450 filter=lfs diff=lfs merge=lfs -text
309
+ .git/lfs/objects/47/6b/476b846a87d6f447a6e0c16ecb48f645c47933ad77dc4422357cb35c39dafdc5 filter=lfs diff=lfs merge=lfs -text
310
+ .git/lfs/objects/b0/6a/b06a793de665df6b1d181018bd5e19674c69a337513c7ada5b72ed7ad72614b9 filter=lfs diff=lfs merge=lfs -text
311
+ .git/lfs/objects/2f/27/2f27a3d3fc04a0729f0a63276c12034e34bcf9685b97c21e9ea316e8e561afac filter=lfs diff=lfs merge=lfs -text
312
+ .git/lfs/objects/a2/ce/a2ce96088030d25f9232ee07291661e98706619ae06c1c65d5e009c255399f6e filter=lfs diff=lfs merge=lfs -text
313
+ .git/lfs/objects/79/ab/79abc84c332e3f7f8daa8f43f043e4a1f8dcf4fb0c82be948207a6d1f9e5e4d0 filter=lfs diff=lfs merge=lfs -text
314
+ .git/lfs/objects/9b/ee/9bee085105e6d55f9abd3d7d593ecfa0d4e53ebe742d73faf6e212c5c1741a1f filter=lfs diff=lfs merge=lfs -text
315
+ .git/lfs/objects/66/58/6658aa18b57970d396fa347c7a7a8ec9c4575527e40ee43db5af3f0455749420 filter=lfs diff=lfs merge=lfs -text
316
+ .git/lfs/objects/19/d1/19d1f518dffc58b640942af94f8beede6cea4864a3e8035b2a914910fb5fe160 filter=lfs diff=lfs merge=lfs -text
317
+ .git/lfs/objects/46/af/46afb89b2e44d638dea07819f23ad7f4dcae4b7942aab09479a61a4fa5373638 filter=lfs diff=lfs merge=lfs -text
318
+ .git/lfs/objects/24/ce/24ce79534477c2159ef6b96ac6d5331aa78395ddcb84d9ad63259b832e3f3b71 filter=lfs diff=lfs merge=lfs -text
319
+ .git/lfs/objects/d1/e7/d1e72f08bf7ad89788bfeb3f0783ea83060d0f941c5af3dc980283f2c8e05a65 filter=lfs diff=lfs merge=lfs -text
320
+ .git/lfs/objects/27/22/2722f7d2b8ae4d1a94b4cd0648af65da5c39e149b3e63adc14129d83d1a56130 filter=lfs diff=lfs merge=lfs -text
321
+ .git/lfs/objects/41/ee/41ee7033091be762275f9425f208e14ed4ea73b77b74e7910a58398af922f040 filter=lfs diff=lfs merge=lfs -text
322
+ .git/lfs/objects/08/cc/08ccc74ad8018faa029ac23665f2e75bc9c7481e7d29ea510c6cdd864603b683 filter=lfs diff=lfs merge=lfs -text
323
+ .git/lfs/objects/a9/2e/a92e57d04266c146efde2213d394e7c91450dee9521da2bcedc1ddc14487d981 filter=lfs diff=lfs merge=lfs -text
324
+ .git/lfs/objects/42/c2/42c28e95327eaa08e6e6f509ab124a97ab687db12a08c2bc157a65e3e1db1cb9 filter=lfs diff=lfs merge=lfs -text
325
+ .git/lfs/objects/fa/14/fa1463d267855ce07c3ac5899a9ed4cb7cd2155da8bc0aef654e112895586657 filter=lfs diff=lfs merge=lfs -text
326
+ .git/lfs/objects/6c/2b/6c2b983239ad5ba995086d059eb369cf523c3a350b0f644ac785677a703860f1 filter=lfs diff=lfs merge=lfs -text
327
+ .git/lfs/objects/20/bc/20bc0de558cc0923e6a2813c9815e2890b99a55ec5dc39d5e9d56cc1f1104757 filter=lfs diff=lfs merge=lfs -text
328
+ .git/lfs/objects/dc/59/dc59a054b9a86915a8011b06f4a440254d3bef6517568c75b4fa1767d0ad75ff filter=lfs diff=lfs merge=lfs -text
329
+ .git/lfs/objects/58/01/5801f8389ec491ded88c7221d338e05c2d48af0aa1f68bd56c02ebb81281fc47 filter=lfs diff=lfs merge=lfs -text
330
+ .git/lfs/objects/f7/36/f736d32266dc5bad4c0f78faaf4cdf5eb2760dcbe1eaead895b8cb3ac36d51b6 filter=lfs diff=lfs merge=lfs -text
331
+ .git/lfs/objects/b7/2e/b72e747ec081562370d86737cb071fdb265789168f91e384f6b53c8d0ab05200 filter=lfs diff=lfs merge=lfs -text
332
+ .git/lfs/objects/d6/56/d65606912095db4b7260b8901b2f552fa3d10c73c76418caec2ce89fad2294f4 filter=lfs diff=lfs merge=lfs -text
333
+ .git/lfs/objects/6d/e8/6de8ed923ca2086d0104e84c05300e12e9d0899e81e5aecff0ec9bd73b35052c filter=lfs diff=lfs merge=lfs -text
334
+ .git/lfs/objects/ef/bf/efbf8893f495c1f54fcf31efc8dfdf74ef8313cf051aace3930238707541d1bc filter=lfs diff=lfs merge=lfs -text
335
+ .git/lfs/objects/5b/d5/5bd56a1262b3564d49c1dc685e5e53ebad9fb0773925dd5a93b507f36dc9f7c7 filter=lfs diff=lfs merge=lfs -text
336
+ .git/lfs/objects/c9/23/c923ab8bfeef0cd539747d4d886b04f0593e9e163a87d05d50b71da7a7228108 filter=lfs diff=lfs merge=lfs -text
337
+ .git/lfs/objects/01/0b/010bac1efc2cb7295eb57dfdc03a363b7c678d738a3f9710ef01e1f2b598a168 filter=lfs diff=lfs merge=lfs -text
338
+ .git/lfs/objects/06/0d/060d6a14d5b2bcfd1b057dc19773771336bc81e4e310dd6d62e7c6c540491a84 filter=lfs diff=lfs merge=lfs -text
339
+ .git/lfs/objects/4d/b3/4db38dedc46e5d3522f8fee13090e28bea4a23d89aa31330037153174f869a61 filter=lfs diff=lfs merge=lfs -text
340
+ .git/lfs/objects/cb/7d/cb7d2cbdb01dae729516d7a37a18be29f98e7047f8cf0caf5f8c93b090440164 filter=lfs diff=lfs merge=lfs -text
341
+ .git/lfs/objects/99/38/9938e210d5c147987c254455306455a051084c48d88727fd25f5b995a8d6aab1 filter=lfs diff=lfs merge=lfs -text
342
+ .git/lfs/objects/7e/29/7e294c7c238d31a3997640338c6ef9f6e3606b17849ae710467382c623b2c0f5 filter=lfs diff=lfs merge=lfs -text
343
+ .git/lfs/objects/d2/91/d291bf67df24d22723393976e1a30a36cf5b06937747c977d261a6821ed377cb filter=lfs diff=lfs merge=lfs -text
344
+ .git/lfs/objects/69/49/69495d9818d9d27f4f9beee301510c72ddd5364d7d7865773a213abf1ba24868 filter=lfs diff=lfs merge=lfs -text
345
+ .git/lfs/objects/c2/cb/c2cb2b6ca100b1eaf31c819f0ebb348bd464befa09ce2c06227efa8bc005c05a filter=lfs diff=lfs merge=lfs -text
346
+ .git/lfs/objects/e2/77/e277ebd32cab123369d12fe145445ad189932eaf9810cc684f6b366052c15972 filter=lfs diff=lfs merge=lfs -text
347
+ .git/lfs/objects/5e/16/5e16f2ed9526a545b1df7d2f892b192235122237af3d4d597ffe11e3363e4aa7 filter=lfs diff=lfs merge=lfs -text
348
+ .git/lfs/objects/5e/1a/5e1a5059a50ad8539351fafc2820f9d48123be1a23a2be6777263c5223144834 filter=lfs diff=lfs merge=lfs -text
349
+ .git/lfs/objects/ec/04/ec04b059a643d5eb64d528ef38ee58c2c66da24606f0b8340e482edff8f7b0ac filter=lfs diff=lfs merge=lfs -text
350
+ .git/lfs/objects/3d/4a/3d4a3a4394bc050534ccc08756a61ea984b16584719563b3ae55a8471b6fa937 filter=lfs diff=lfs merge=lfs -text
351
+ .git/lfs/objects/fd/82/fd82dce9a1914d1427efa2b58c72a13ee36999640c614adaa63b2f789fe49c72 filter=lfs diff=lfs merge=lfs -text
352
+ .git/lfs/objects/92/0f/920f334aa8a2a64cf006d7a05ba27b3b53bb416a0f30df954d0ba598a097fa3b filter=lfs diff=lfs merge=lfs -text
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/config.json ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "ModernBertModel"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 50281,
8
+ "classifier_activation": "gelu",
9
+ "classifier_bias": false,
10
+ "classifier_dropout": 0.0,
11
+ "classifier_pooling": "mean",
12
+ "cls_token_id": 50281,
13
+ "decoder_bias": true,
14
+ "deterministic_flash_attn": false,
15
+ "embedding_dropout": 0.0,
16
+ "eos_token_id": 50282,
17
+ "global_attn_every_n_layers": 3,
18
+ "global_rope_theta": 160000.0,
19
+ "gradient_checkpointing": false,
20
+ "hidden_activation": "gelu",
21
+ "hidden_size": 768,
22
+ "initializer_cutoff_factor": 2.0,
23
+ "initializer_range": 0.02,
24
+ "intermediate_size": 1152,
25
+ "layer_norm_eps": 1e-05,
26
+ "local_attention": 128,
27
+ "local_rope_theta": 10000.0,
28
+ "max_position_embeddings": 8192,
29
+ "mlp_bias": false,
30
+ "mlp_dropout": 0.0,
31
+ "model_type": "modernbert",
32
+ "norm_bias": false,
33
+ "norm_eps": 1e-05,
34
+ "num_attention_heads": 12,
35
+ "num_hidden_layers": 22,
36
+ "pad_token_id": 50283,
37
+ "position_embedding_type": "absolute",
38
+ "repad_logits_with_grad": false,
39
+ "sep_token_id": 50282,
40
+ "sparse_pred_ignore_index": -100,
41
+ "sparse_prediction": false,
42
+ "torch_dtype": "bfloat16",
43
+ "transformers_version": "4.53.0",
44
+ "vocab_size": 50368
45
+ }
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2442b3cc24983ddcf31753c8fa56ab2fad6afb650c632ed25b776997797ed613
3
+ size 298041696
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3b67a1ed701ca39e8801c50d2e045472cac648267a09099521a862e0bb963eef
3
+ size 596170443
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:18bb6b6e7da6250d22c25b95c64287be4aea598d9d97ef67b0fd69b9be869ed7
3
+ size 15365
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3cff16289615ba210b601be2162794d1949cb1d62132099a4cf62330c43649a5
3
+ size 15365
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c6caa3980c911491b74ec2e96e48a78cd7c3365dd32116c61642a4b6839a2da1
3
+ size 15365
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4e93d0d6464a92d227e9235c134b2224cf28ea45ba375cf82e6949c632e2b0d5
3
+ size 15365
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a1dc55d852ef70868b0961034622da0948eee9b7cd3b727c465e6777f6956438
3
+ size 1465
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-10000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:205393de77a05f484db2377ef40c55556ef0de4b97d04fcaeb594ddb2a92de2c
3
+ size 6033
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-15000/removed_as_it_was_not_better_than10k ADDED
File without changes
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-20000/removed_as_it_was_not_better_than10k ADDED
File without changes
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/config.json ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "ModernBertModel"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 50281,
8
+ "classifier_activation": "gelu",
9
+ "classifier_bias": false,
10
+ "classifier_dropout": 0.0,
11
+ "classifier_pooling": "mean",
12
+ "cls_token_id": 50281,
13
+ "decoder_bias": true,
14
+ "deterministic_flash_attn": false,
15
+ "embedding_dropout": 0.0,
16
+ "eos_token_id": 50282,
17
+ "global_attn_every_n_layers": 3,
18
+ "global_rope_theta": 160000.0,
19
+ "gradient_checkpointing": false,
20
+ "hidden_activation": "gelu",
21
+ "hidden_size": 768,
22
+ "initializer_cutoff_factor": 2.0,
23
+ "initializer_range": 0.02,
24
+ "intermediate_size": 1152,
25
+ "layer_norm_eps": 1e-05,
26
+ "local_attention": 128,
27
+ "local_rope_theta": 10000.0,
28
+ "max_position_embeddings": 8192,
29
+ "mlp_bias": false,
30
+ "mlp_dropout": 0.0,
31
+ "model_type": "modernbert",
32
+ "norm_bias": false,
33
+ "norm_eps": 1e-05,
34
+ "num_attention_heads": 12,
35
+ "num_hidden_layers": 22,
36
+ "pad_token_id": 50283,
37
+ "position_embedding_type": "absolute",
38
+ "repad_logits_with_grad": false,
39
+ "sep_token_id": 50282,
40
+ "sparse_pred_ignore_index": -100,
41
+ "sparse_prediction": false,
42
+ "torch_dtype": "bfloat16",
43
+ "transformers_version": "4.53.0",
44
+ "vocab_size": 50368
45
+ }
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f549d22a6a470b7569e8227f818199fa8caca8f7fa42a87714eed88c40998ffd
3
+ size 298041696
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b04a684bd4e9cc9a662d38fa7af49dfea5a10a1184ec2a2b5771603dd529776a
3
+ size 596170443
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3044a568f2c48f55afab6e63cf0c046d3586784e77e39b1af825abecfb2cdba8
3
+ size 15365
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0b50176e6a2e04d27f26849df53fc28c50b0357c3f1bc26ca6b6bb8848991144
3
+ size 15365
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fbda571d0d08add9abed7e3b3b11bb38b8d472a92fd8409d00660f44b646db10
3
+ size 15365
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a5ce74a6352b774e1ca5b1ca2e8b3e684a2cc29987576c968c710783e2b33305
3
+ size 15365
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b23fa07612480bb6aa3030f51e1c016c1312deccd8f5d909640a64afcadcf8ce
3
+ size 1465
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/trainer_state.json ADDED
@@ -0,0 +1,3859 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.6019744762822057,
6
+ "eval_steps": 1000.0,
7
+ "global_step": 5000,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0,
14
+ "eval/nano_beir.arguana": 0.5201586889046041,
15
+ "step": 0
16
+ },
17
+ {
18
+ "epoch": 0,
19
+ "eval/nano_beir.climate_fever": 0.23997409265084552,
20
+ "step": 0
21
+ },
22
+ {
23
+ "epoch": 0,
24
+ "eval/nano_beir.dbpedia_entity": 0.34286887314902237,
25
+ "step": 0
26
+ },
27
+ {
28
+ "epoch": 0,
29
+ "eval/nano_beir.fever": 0.6213496755517833,
30
+ "step": 0
31
+ },
32
+ {
33
+ "epoch": 0,
34
+ "eval/nano_beir.fiqa": 0.4542903465876373,
35
+ "step": 0
36
+ },
37
+ {
38
+ "epoch": 0,
39
+ "eval/nano_beir.hotpotqa": 0.6560051657630788,
40
+ "step": 0
41
+ },
42
+ {
43
+ "epoch": 0,
44
+ "eval/nano_beir.nfcorpus": 0.3328835143785305,
45
+ "step": 0
46
+ },
47
+ {
48
+ "epoch": 0,
49
+ "eval/nano_beir.nq": 0.4570725655218753,
50
+ "step": 0
51
+ },
52
+ {
53
+ "epoch": 0,
54
+ "eval/nano_beir.quora": 0.832098944676056,
55
+ "step": 0
56
+ },
57
+ {
58
+ "epoch": 0,
59
+ "eval/nano_beir.scidocs": 0.25908236715595256,
60
+ "step": 0
61
+ },
62
+ {
63
+ "epoch": 0,
64
+ "eval/nano_beir.scifact": 0.7391066781087818,
65
+ "step": 0
66
+ },
67
+ {
68
+ "epoch": 0,
69
+ "eval/nano_beir.webis_touche2020": 0.30431141846717047,
70
+ "step": 0
71
+ },
72
+ {
73
+ "epoch": 0,
74
+ "eval/avg": 0.4799335275762782,
75
+ "step": 0
76
+ },
77
+ {
78
+ "epoch": 0.0012039489525644113,
79
+ "grad_norm": 9.375,
80
+ "learning_rate": 4.5e-07,
81
+ "loss": 1.2124,
82
+ "step": 10
83
+ },
84
+ {
85
+ "epoch": 0.0024078979051288226,
86
+ "grad_norm": 11.625,
87
+ "learning_rate": 9.5e-07,
88
+ "loss": 1.2431,
89
+ "step": 20
90
+ },
91
+ {
92
+ "epoch": 0.003611846857693234,
93
+ "grad_norm": 12.9375,
94
+ "learning_rate": 1.45e-06,
95
+ "loss": 1.2449,
96
+ "step": 30
97
+ },
98
+ {
99
+ "epoch": 0.004815795810257645,
100
+ "grad_norm": 10.25,
101
+ "learning_rate": 1.95e-06,
102
+ "loss": 1.3433,
103
+ "step": 40
104
+ },
105
+ {
106
+ "epoch": 0.006019744762822056,
107
+ "grad_norm": 11.375,
108
+ "learning_rate": 2.4500000000000003e-06,
109
+ "loss": 1.3456,
110
+ "step": 50
111
+ },
112
+ {
113
+ "epoch": 0.007223693715386468,
114
+ "grad_norm": 12.125,
115
+ "learning_rate": 2.95e-06,
116
+ "loss": 1.3311,
117
+ "step": 60
118
+ },
119
+ {
120
+ "epoch": 0.00842764266795088,
121
+ "grad_norm": 10.75,
122
+ "learning_rate": 3.4500000000000004e-06,
123
+ "loss": 1.2169,
124
+ "step": 70
125
+ },
126
+ {
127
+ "epoch": 0.00963159162051529,
128
+ "grad_norm": 19.125,
129
+ "learning_rate": 3.95e-06,
130
+ "loss": 1.4157,
131
+ "step": 80
132
+ },
133
+ {
134
+ "epoch": 0.010835540573079701,
135
+ "grad_norm": 12.1875,
136
+ "learning_rate": 4.45e-06,
137
+ "loss": 1.1054,
138
+ "step": 90
139
+ },
140
+ {
141
+ "epoch": 0.012039489525644112,
142
+ "grad_norm": 9.0,
143
+ "learning_rate": 4.950000000000001e-06,
144
+ "loss": 1.1525,
145
+ "step": 100
146
+ },
147
+ {
148
+ "epoch": 0.013243438478208525,
149
+ "grad_norm": 9.625,
150
+ "learning_rate": 5.45e-06,
151
+ "loss": 1.2883,
152
+ "step": 110
153
+ },
154
+ {
155
+ "epoch": 0.014447387430772935,
156
+ "grad_norm": 11.25,
157
+ "learning_rate": 5.95e-06,
158
+ "loss": 1.2931,
159
+ "step": 120
160
+ },
161
+ {
162
+ "epoch": 0.015651336383337346,
163
+ "grad_norm": 11.4375,
164
+ "learning_rate": 6.45e-06,
165
+ "loss": 1.3545,
166
+ "step": 130
167
+ },
168
+ {
169
+ "epoch": 0.01685528533590176,
170
+ "grad_norm": 15.1875,
171
+ "learning_rate": 6.950000000000001e-06,
172
+ "loss": 1.3885,
173
+ "step": 140
174
+ },
175
+ {
176
+ "epoch": 0.018059234288466168,
177
+ "grad_norm": 10.9375,
178
+ "learning_rate": 7.45e-06,
179
+ "loss": 1.1764,
180
+ "step": 150
181
+ },
182
+ {
183
+ "epoch": 0.01926318324103058,
184
+ "grad_norm": 12.0625,
185
+ "learning_rate": 7.95e-06,
186
+ "loss": 1.3003,
187
+ "step": 160
188
+ },
189
+ {
190
+ "epoch": 0.020467132193594993,
191
+ "grad_norm": 12.3125,
192
+ "learning_rate": 8.45e-06,
193
+ "loss": 1.5038,
194
+ "step": 170
195
+ },
196
+ {
197
+ "epoch": 0.021671081146159402,
198
+ "grad_norm": 10.9375,
199
+ "learning_rate": 8.95e-06,
200
+ "loss": 1.1602,
201
+ "step": 180
202
+ },
203
+ {
204
+ "epoch": 0.022875030098723815,
205
+ "grad_norm": 10.5625,
206
+ "learning_rate": 9.450000000000001e-06,
207
+ "loss": 1.1491,
208
+ "step": 190
209
+ },
210
+ {
211
+ "epoch": 0.024078979051288224,
212
+ "grad_norm": 11.375,
213
+ "learning_rate": 9.950000000000001e-06,
214
+ "loss": 1.3445,
215
+ "step": 200
216
+ },
217
+ {
218
+ "epoch": 0.025282928003852637,
219
+ "grad_norm": 9.125,
220
+ "learning_rate": 1.045e-05,
221
+ "loss": 1.2298,
222
+ "step": 210
223
+ },
224
+ {
225
+ "epoch": 0.02648687695641705,
226
+ "grad_norm": 10.3125,
227
+ "learning_rate": 1.095e-05,
228
+ "loss": 1.2853,
229
+ "step": 220
230
+ },
231
+ {
232
+ "epoch": 0.02769082590898146,
233
+ "grad_norm": 9.8125,
234
+ "learning_rate": 1.145e-05,
235
+ "loss": 1.2399,
236
+ "step": 230
237
+ },
238
+ {
239
+ "epoch": 0.02889477486154587,
240
+ "grad_norm": 8.5625,
241
+ "learning_rate": 1.195e-05,
242
+ "loss": 1.281,
243
+ "step": 240
244
+ },
245
+ {
246
+ "epoch": 0.03009872381411028,
247
+ "grad_norm": 12.5,
248
+ "learning_rate": 1.2450000000000001e-05,
249
+ "loss": 1.1571,
250
+ "step": 250
251
+ },
252
+ {
253
+ "epoch": 0.03130267276667469,
254
+ "grad_norm": 11.0625,
255
+ "learning_rate": 1.2950000000000001e-05,
256
+ "loss": 1.2818,
257
+ "step": 260
258
+ },
259
+ {
260
+ "epoch": 0.032506621719239105,
261
+ "grad_norm": 10.0,
262
+ "learning_rate": 1.3450000000000002e-05,
263
+ "loss": 1.0802,
264
+ "step": 270
265
+ },
266
+ {
267
+ "epoch": 0.03371057067180352,
268
+ "grad_norm": 15.9375,
269
+ "learning_rate": 1.3950000000000002e-05,
270
+ "loss": 1.1303,
271
+ "step": 280
272
+ },
273
+ {
274
+ "epoch": 0.03491451962436792,
275
+ "grad_norm": 11.5625,
276
+ "learning_rate": 1.4449999999999999e-05,
277
+ "loss": 1.086,
278
+ "step": 290
279
+ },
280
+ {
281
+ "epoch": 0.036118468576932336,
282
+ "grad_norm": 11.75,
283
+ "learning_rate": 1.4950000000000001e-05,
284
+ "loss": 1.1996,
285
+ "step": 300
286
+ },
287
+ {
288
+ "epoch": 0.03732241752949675,
289
+ "grad_norm": 7.5625,
290
+ "learning_rate": 1.545e-05,
291
+ "loss": 1.0982,
292
+ "step": 310
293
+ },
294
+ {
295
+ "epoch": 0.03852636648206116,
296
+ "grad_norm": 9.5,
297
+ "learning_rate": 1.595e-05,
298
+ "loss": 1.0364,
299
+ "step": 320
300
+ },
301
+ {
302
+ "epoch": 0.039730315434625574,
303
+ "grad_norm": 10.75,
304
+ "learning_rate": 1.645e-05,
305
+ "loss": 1.0967,
306
+ "step": 330
307
+ },
308
+ {
309
+ "epoch": 0.040934264387189986,
310
+ "grad_norm": 9.3125,
311
+ "learning_rate": 1.6950000000000002e-05,
312
+ "loss": 1.1497,
313
+ "step": 340
314
+ },
315
+ {
316
+ "epoch": 0.04213821333975439,
317
+ "grad_norm": 9.0625,
318
+ "learning_rate": 1.745e-05,
319
+ "loss": 1.1596,
320
+ "step": 350
321
+ },
322
+ {
323
+ "epoch": 0.043342162292318805,
324
+ "grad_norm": 9.3125,
325
+ "learning_rate": 1.795e-05,
326
+ "loss": 1.0344,
327
+ "step": 360
328
+ },
329
+ {
330
+ "epoch": 0.04454611124488322,
331
+ "grad_norm": 10.625,
332
+ "learning_rate": 1.845e-05,
333
+ "loss": 1.186,
334
+ "step": 370
335
+ },
336
+ {
337
+ "epoch": 0.04575006019744763,
338
+ "grad_norm": 9.9375,
339
+ "learning_rate": 1.895e-05,
340
+ "loss": 0.9519,
341
+ "step": 380
342
+ },
343
+ {
344
+ "epoch": 0.04695400915001204,
345
+ "grad_norm": 10.125,
346
+ "learning_rate": 1.9450000000000002e-05,
347
+ "loss": 1.1593,
348
+ "step": 390
349
+ },
350
+ {
351
+ "epoch": 0.04815795810257645,
352
+ "grad_norm": 10.0,
353
+ "learning_rate": 1.995e-05,
354
+ "loss": 1.0437,
355
+ "step": 400
356
+ },
357
+ {
358
+ "epoch": 0.04936190705514086,
359
+ "grad_norm": 10.5,
360
+ "learning_rate": 2.045e-05,
361
+ "loss": 1.1235,
362
+ "step": 410
363
+ },
364
+ {
365
+ "epoch": 0.05056585600770527,
366
+ "grad_norm": 8.375,
367
+ "learning_rate": 2.095e-05,
368
+ "loss": 0.9802,
369
+ "step": 420
370
+ },
371
+ {
372
+ "epoch": 0.051769804960269686,
373
+ "grad_norm": 11.125,
374
+ "learning_rate": 2.145e-05,
375
+ "loss": 1.1923,
376
+ "step": 430
377
+ },
378
+ {
379
+ "epoch": 0.0529737539128341,
380
+ "grad_norm": 10.5625,
381
+ "learning_rate": 2.195e-05,
382
+ "loss": 1.0591,
383
+ "step": 440
384
+ },
385
+ {
386
+ "epoch": 0.054177702865398504,
387
+ "grad_norm": 12.625,
388
+ "learning_rate": 2.245e-05,
389
+ "loss": 1.0929,
390
+ "step": 450
391
+ },
392
+ {
393
+ "epoch": 0.05538165181796292,
394
+ "grad_norm": 7.4375,
395
+ "learning_rate": 2.2950000000000002e-05,
396
+ "loss": 0.8406,
397
+ "step": 460
398
+ },
399
+ {
400
+ "epoch": 0.05658560077052733,
401
+ "grad_norm": 11.125,
402
+ "learning_rate": 2.345e-05,
403
+ "loss": 0.9958,
404
+ "step": 470
405
+ },
406
+ {
407
+ "epoch": 0.05778954972309174,
408
+ "grad_norm": 9.9375,
409
+ "learning_rate": 2.395e-05,
410
+ "loss": 0.9885,
411
+ "step": 480
412
+ },
413
+ {
414
+ "epoch": 0.058993498675656154,
415
+ "grad_norm": 9.625,
416
+ "learning_rate": 2.445e-05,
417
+ "loss": 1.0203,
418
+ "step": 490
419
+ },
420
+ {
421
+ "epoch": 0.06019744762822056,
422
+ "grad_norm": 10.0,
423
+ "learning_rate": 2.495e-05,
424
+ "loss": 0.92,
425
+ "step": 500
426
+ },
427
+ {
428
+ "epoch": 0.06140139658078497,
429
+ "grad_norm": 10.5625,
430
+ "learning_rate": 2.5450000000000002e-05,
431
+ "loss": 1.1444,
432
+ "step": 510
433
+ },
434
+ {
435
+ "epoch": 0.06260534553334939,
436
+ "grad_norm": 11.75,
437
+ "learning_rate": 2.595e-05,
438
+ "loss": 0.9312,
439
+ "step": 520
440
+ },
441
+ {
442
+ "epoch": 0.0638092944859138,
443
+ "grad_norm": 9.5,
444
+ "learning_rate": 2.6450000000000003e-05,
445
+ "loss": 1.0683,
446
+ "step": 530
447
+ },
448
+ {
449
+ "epoch": 0.06501324343847821,
450
+ "grad_norm": 10.75,
451
+ "learning_rate": 2.6950000000000005e-05,
452
+ "loss": 0.9993,
453
+ "step": 540
454
+ },
455
+ {
456
+ "epoch": 0.06621719239104262,
457
+ "grad_norm": 5.9375,
458
+ "learning_rate": 2.7450000000000003e-05,
459
+ "loss": 0.9648,
460
+ "step": 550
461
+ },
462
+ {
463
+ "epoch": 0.06742114134360704,
464
+ "grad_norm": 10.25,
465
+ "learning_rate": 2.7950000000000005e-05,
466
+ "loss": 0.9591,
467
+ "step": 560
468
+ },
469
+ {
470
+ "epoch": 0.06862509029617145,
471
+ "grad_norm": 9.6875,
472
+ "learning_rate": 2.845e-05,
473
+ "loss": 1.0011,
474
+ "step": 570
475
+ },
476
+ {
477
+ "epoch": 0.06982903924873585,
478
+ "grad_norm": 8.9375,
479
+ "learning_rate": 2.895e-05,
480
+ "loss": 0.8669,
481
+ "step": 580
482
+ },
483
+ {
484
+ "epoch": 0.07103298820130026,
485
+ "grad_norm": 8.8125,
486
+ "learning_rate": 2.945e-05,
487
+ "loss": 0.8381,
488
+ "step": 590
489
+ },
490
+ {
491
+ "epoch": 0.07223693715386467,
492
+ "grad_norm": 7.9375,
493
+ "learning_rate": 2.995e-05,
494
+ "loss": 0.8767,
495
+ "step": 600
496
+ },
497
+ {
498
+ "epoch": 0.07344088610642908,
499
+ "grad_norm": 7.75,
500
+ "learning_rate": 3.045e-05,
501
+ "loss": 0.7875,
502
+ "step": 610
503
+ },
504
+ {
505
+ "epoch": 0.0746448350589935,
506
+ "grad_norm": 6.21875,
507
+ "learning_rate": 3.095e-05,
508
+ "loss": 0.8435,
509
+ "step": 620
510
+ },
511
+ {
512
+ "epoch": 0.07584878401155791,
513
+ "grad_norm": 8.1875,
514
+ "learning_rate": 3.145e-05,
515
+ "loss": 0.8618,
516
+ "step": 630
517
+ },
518
+ {
519
+ "epoch": 0.07705273296412232,
520
+ "grad_norm": 8.5,
521
+ "learning_rate": 3.1950000000000004e-05,
522
+ "loss": 0.8589,
523
+ "step": 640
524
+ },
525
+ {
526
+ "epoch": 0.07825668191668674,
527
+ "grad_norm": 8.5,
528
+ "learning_rate": 3.245e-05,
529
+ "loss": 0.9605,
530
+ "step": 650
531
+ },
532
+ {
533
+ "epoch": 0.07946063086925115,
534
+ "grad_norm": 7.4375,
535
+ "learning_rate": 3.295e-05,
536
+ "loss": 0.9085,
537
+ "step": 660
538
+ },
539
+ {
540
+ "epoch": 0.08066457982181556,
541
+ "grad_norm": 6.71875,
542
+ "learning_rate": 3.345000000000001e-05,
543
+ "loss": 0.8026,
544
+ "step": 670
545
+ },
546
+ {
547
+ "epoch": 0.08186852877437997,
548
+ "grad_norm": 10.0625,
549
+ "learning_rate": 3.3950000000000005e-05,
550
+ "loss": 0.8285,
551
+ "step": 680
552
+ },
553
+ {
554
+ "epoch": 0.08307247772694437,
555
+ "grad_norm": 8.4375,
556
+ "learning_rate": 3.445e-05,
557
+ "loss": 0.8712,
558
+ "step": 690
559
+ },
560
+ {
561
+ "epoch": 0.08427642667950878,
562
+ "grad_norm": 8.5,
563
+ "learning_rate": 3.495e-05,
564
+ "loss": 0.8366,
565
+ "step": 700
566
+ },
567
+ {
568
+ "epoch": 0.0854803756320732,
569
+ "grad_norm": 9.3125,
570
+ "learning_rate": 3.545e-05,
571
+ "loss": 0.9514,
572
+ "step": 710
573
+ },
574
+ {
575
+ "epoch": 0.08668432458463761,
576
+ "grad_norm": 7.34375,
577
+ "learning_rate": 3.595e-05,
578
+ "loss": 0.9519,
579
+ "step": 720
580
+ },
581
+ {
582
+ "epoch": 0.08788827353720202,
583
+ "grad_norm": 7.03125,
584
+ "learning_rate": 3.645e-05,
585
+ "loss": 0.8114,
586
+ "step": 730
587
+ },
588
+ {
589
+ "epoch": 0.08909222248976643,
590
+ "grad_norm": 8.3125,
591
+ "learning_rate": 3.6950000000000004e-05,
592
+ "loss": 0.8443,
593
+ "step": 740
594
+ },
595
+ {
596
+ "epoch": 0.09029617144233085,
597
+ "grad_norm": 5.8125,
598
+ "learning_rate": 3.745e-05,
599
+ "loss": 0.815,
600
+ "step": 750
601
+ },
602
+ {
603
+ "epoch": 0.09150012039489526,
604
+ "grad_norm": 7.125,
605
+ "learning_rate": 3.795e-05,
606
+ "loss": 0.8194,
607
+ "step": 760
608
+ },
609
+ {
610
+ "epoch": 0.09270406934745967,
611
+ "grad_norm": 7.375,
612
+ "learning_rate": 3.845e-05,
613
+ "loss": 0.8795,
614
+ "step": 770
615
+ },
616
+ {
617
+ "epoch": 0.09390801830002408,
618
+ "grad_norm": 6.125,
619
+ "learning_rate": 3.8950000000000005e-05,
620
+ "loss": 0.7941,
621
+ "step": 780
622
+ },
623
+ {
624
+ "epoch": 0.09511196725258848,
625
+ "grad_norm": 6.65625,
626
+ "learning_rate": 3.9450000000000003e-05,
627
+ "loss": 0.9511,
628
+ "step": 790
629
+ },
630
+ {
631
+ "epoch": 0.0963159162051529,
632
+ "grad_norm": 6.78125,
633
+ "learning_rate": 3.995e-05,
634
+ "loss": 0.9017,
635
+ "step": 800
636
+ },
637
+ {
638
+ "epoch": 0.09751986515771731,
639
+ "grad_norm": 5.9375,
640
+ "learning_rate": 4.045000000000001e-05,
641
+ "loss": 0.8358,
642
+ "step": 810
643
+ },
644
+ {
645
+ "epoch": 0.09872381411028172,
646
+ "grad_norm": 5.6875,
647
+ "learning_rate": 4.095e-05,
648
+ "loss": 0.8172,
649
+ "step": 820
650
+ },
651
+ {
652
+ "epoch": 0.09992776306284613,
653
+ "grad_norm": 5.4375,
654
+ "learning_rate": 4.145e-05,
655
+ "loss": 0.9306,
656
+ "step": 830
657
+ },
658
+ {
659
+ "epoch": 0.10113171201541055,
660
+ "grad_norm": 6.125,
661
+ "learning_rate": 4.195e-05,
662
+ "loss": 0.801,
663
+ "step": 840
664
+ },
665
+ {
666
+ "epoch": 0.10233566096797496,
667
+ "grad_norm": 6.4375,
668
+ "learning_rate": 4.245e-05,
669
+ "loss": 0.793,
670
+ "step": 850
671
+ },
672
+ {
673
+ "epoch": 0.10353960992053937,
674
+ "grad_norm": 5.25,
675
+ "learning_rate": 4.295e-05,
676
+ "loss": 0.7686,
677
+ "step": 860
678
+ },
679
+ {
680
+ "epoch": 0.10474355887310378,
681
+ "grad_norm": 6.65625,
682
+ "learning_rate": 4.345e-05,
683
+ "loss": 0.8891,
684
+ "step": 870
685
+ },
686
+ {
687
+ "epoch": 0.1059475078256682,
688
+ "grad_norm": 5.71875,
689
+ "learning_rate": 4.3950000000000004e-05,
690
+ "loss": 0.7847,
691
+ "step": 880
692
+ },
693
+ {
694
+ "epoch": 0.10715145677823261,
695
+ "grad_norm": 6.78125,
696
+ "learning_rate": 4.445e-05,
697
+ "loss": 0.7822,
698
+ "step": 890
699
+ },
700
+ {
701
+ "epoch": 0.10835540573079701,
702
+ "grad_norm": 6.15625,
703
+ "learning_rate": 4.495e-05,
704
+ "loss": 0.7343,
705
+ "step": 900
706
+ },
707
+ {
708
+ "epoch": 0.10955935468336142,
709
+ "grad_norm": 5.78125,
710
+ "learning_rate": 4.545000000000001e-05,
711
+ "loss": 0.7725,
712
+ "step": 910
713
+ },
714
+ {
715
+ "epoch": 0.11076330363592583,
716
+ "grad_norm": 6.625,
717
+ "learning_rate": 4.5950000000000006e-05,
718
+ "loss": 0.7744,
719
+ "step": 920
720
+ },
721
+ {
722
+ "epoch": 0.11196725258849025,
723
+ "grad_norm": 10.4375,
724
+ "learning_rate": 4.6450000000000004e-05,
725
+ "loss": 0.72,
726
+ "step": 930
727
+ },
728
+ {
729
+ "epoch": 0.11317120154105466,
730
+ "grad_norm": 6.5625,
731
+ "learning_rate": 4.695e-05,
732
+ "loss": 0.79,
733
+ "step": 940
734
+ },
735
+ {
736
+ "epoch": 0.11437515049361907,
737
+ "grad_norm": 5.75,
738
+ "learning_rate": 4.745e-05,
739
+ "loss": 0.8084,
740
+ "step": 950
741
+ },
742
+ {
743
+ "epoch": 0.11557909944618348,
744
+ "grad_norm": 7.71875,
745
+ "learning_rate": 4.795e-05,
746
+ "loss": 0.7332,
747
+ "step": 960
748
+ },
749
+ {
750
+ "epoch": 0.1167830483987479,
751
+ "grad_norm": 6.875,
752
+ "learning_rate": 4.845e-05,
753
+ "loss": 0.827,
754
+ "step": 970
755
+ },
756
+ {
757
+ "epoch": 0.11798699735131231,
758
+ "grad_norm": 6.375,
759
+ "learning_rate": 4.8950000000000004e-05,
760
+ "loss": 0.8598,
761
+ "step": 980
762
+ },
763
+ {
764
+ "epoch": 0.11919094630387672,
765
+ "grad_norm": 6.5625,
766
+ "learning_rate": 4.945e-05,
767
+ "loss": 0.8785,
768
+ "step": 990
769
+ },
770
+ {
771
+ "epoch": 0.12039489525644112,
772
+ "grad_norm": 6.5,
773
+ "learning_rate": 4.995e-05,
774
+ "loss": 0.7385,
775
+ "step": 1000
776
+ },
777
+ {
778
+ "epoch": 0.12039489525644112,
779
+ "eval/nano_beir.arguana": 0.4762374986283534,
780
+ "step": 1000
781
+ },
782
+ {
783
+ "epoch": 0.12039489525644112,
784
+ "eval/nano_beir.climate_fever": 0.233898612493137,
785
+ "step": 1000
786
+ },
787
+ {
788
+ "epoch": 0.12039489525644112,
789
+ "eval/nano_beir.dbpedia_entity": 0.3310615619837843,
790
+ "step": 1000
791
+ },
792
+ {
793
+ "epoch": 0.12039489525644112,
794
+ "eval/nano_beir.fever": 0.6534142202824448,
795
+ "step": 1000
796
+ },
797
+ {
798
+ "epoch": 0.12039489525644112,
799
+ "eval/nano_beir.fiqa": 0.44285036968778174,
800
+ "step": 1000
801
+ },
802
+ {
803
+ "epoch": 0.12039489525644112,
804
+ "eval/nano_beir.hotpotqa": 0.6857747415442759,
805
+ "step": 1000
806
+ },
807
+ {
808
+ "epoch": 0.12039489525644112,
809
+ "eval/nano_beir.nfcorpus": 0.32960913350288634,
810
+ "step": 1000
811
+ },
812
+ {
813
+ "epoch": 0.12039489525644112,
814
+ "eval/nano_beir.nq": 0.4234776162530602,
815
+ "step": 1000
816
+ },
817
+ {
818
+ "epoch": 0.12039489525644112,
819
+ "eval/nano_beir.quora": 0.815858322680335,
820
+ "step": 1000
821
+ },
822
+ {
823
+ "epoch": 0.12039489525644112,
824
+ "eval/nano_beir.scidocs": 0.2474366934846326,
825
+ "step": 1000
826
+ },
827
+ {
828
+ "epoch": 0.12039489525644112,
829
+ "eval/nano_beir.scifact": 0.7414771066794785,
830
+ "step": 1000
831
+ },
832
+ {
833
+ "epoch": 0.12039489525644112,
834
+ "eval/nano_beir.webis_touche2020": 0.29723028397312157,
835
+ "step": 1000
836
+ },
837
+ {
838
+ "epoch": 0.12039489525644112,
839
+ "eval/avg": 0.47319384676610765,
840
+ "step": 1000
841
+ },
842
+ {
843
+ "epoch": 0.12159884420900553,
844
+ "grad_norm": 6.28125,
845
+ "learning_rate": 5.045e-05,
846
+ "loss": 0.8105,
847
+ "step": 1010
848
+ },
849
+ {
850
+ "epoch": 0.12280279316156995,
851
+ "grad_norm": 6.15625,
852
+ "learning_rate": 5.095e-05,
853
+ "loss": 0.773,
854
+ "step": 1020
855
+ },
856
+ {
857
+ "epoch": 0.12400674211413436,
858
+ "grad_norm": 7.125,
859
+ "learning_rate": 5.145e-05,
860
+ "loss": 0.7829,
861
+ "step": 1030
862
+ },
863
+ {
864
+ "epoch": 0.12521069106669877,
865
+ "grad_norm": 7.0,
866
+ "learning_rate": 5.1949999999999996e-05,
867
+ "loss": 0.7485,
868
+ "step": 1040
869
+ },
870
+ {
871
+ "epoch": 0.1264146400192632,
872
+ "grad_norm": 6.1875,
873
+ "learning_rate": 5.245e-05,
874
+ "loss": 0.7062,
875
+ "step": 1050
876
+ },
877
+ {
878
+ "epoch": 0.1276185889718276,
879
+ "grad_norm": 6.1875,
880
+ "learning_rate": 5.295e-05,
881
+ "loss": 0.8668,
882
+ "step": 1060
883
+ },
884
+ {
885
+ "epoch": 0.128822537924392,
886
+ "grad_norm": 8.4375,
887
+ "learning_rate": 5.345e-05,
888
+ "loss": 0.7711,
889
+ "step": 1070
890
+ },
891
+ {
892
+ "epoch": 0.13002648687695642,
893
+ "grad_norm": 6.0,
894
+ "learning_rate": 5.3950000000000004e-05,
895
+ "loss": 0.788,
896
+ "step": 1080
897
+ },
898
+ {
899
+ "epoch": 0.13123043582952082,
900
+ "grad_norm": 5.59375,
901
+ "learning_rate": 5.445e-05,
902
+ "loss": 0.7042,
903
+ "step": 1090
904
+ },
905
+ {
906
+ "epoch": 0.13243438478208525,
907
+ "grad_norm": 5.25,
908
+ "learning_rate": 5.495e-05,
909
+ "loss": 0.7907,
910
+ "step": 1100
911
+ },
912
+ {
913
+ "epoch": 0.13363833373464964,
914
+ "grad_norm": 5.4375,
915
+ "learning_rate": 5.545e-05,
916
+ "loss": 0.7463,
917
+ "step": 1110
918
+ },
919
+ {
920
+ "epoch": 0.13484228268721407,
921
+ "grad_norm": 4.71875,
922
+ "learning_rate": 5.5950000000000005e-05,
923
+ "loss": 0.7524,
924
+ "step": 1120
925
+ },
926
+ {
927
+ "epoch": 0.13604623163977847,
928
+ "grad_norm": 3.671875,
929
+ "learning_rate": 5.645e-05,
930
+ "loss": 0.6886,
931
+ "step": 1130
932
+ },
933
+ {
934
+ "epoch": 0.1372501805923429,
935
+ "grad_norm": 5.34375,
936
+ "learning_rate": 5.695e-05,
937
+ "loss": 0.796,
938
+ "step": 1140
939
+ },
940
+ {
941
+ "epoch": 0.1384541295449073,
942
+ "grad_norm": 9.9375,
943
+ "learning_rate": 5.745e-05,
944
+ "loss": 0.7372,
945
+ "step": 1150
946
+ },
947
+ {
948
+ "epoch": 0.1396580784974717,
949
+ "grad_norm": 8.75,
950
+ "learning_rate": 5.7950000000000006e-05,
951
+ "loss": 0.7826,
952
+ "step": 1160
953
+ },
954
+ {
955
+ "epoch": 0.14086202745003612,
956
+ "grad_norm": 6.03125,
957
+ "learning_rate": 5.8450000000000005e-05,
958
+ "loss": 0.938,
959
+ "step": 1170
960
+ },
961
+ {
962
+ "epoch": 0.14206597640260052,
963
+ "grad_norm": 6.71875,
964
+ "learning_rate": 5.895e-05,
965
+ "loss": 0.7121,
966
+ "step": 1180
967
+ },
968
+ {
969
+ "epoch": 0.14326992535516495,
970
+ "grad_norm": 5.6875,
971
+ "learning_rate": 5.945000000000001e-05,
972
+ "loss": 0.7018,
973
+ "step": 1190
974
+ },
975
+ {
976
+ "epoch": 0.14447387430772934,
977
+ "grad_norm": 5.40625,
978
+ "learning_rate": 5.995000000000001e-05,
979
+ "loss": 0.7568,
980
+ "step": 1200
981
+ },
982
+ {
983
+ "epoch": 0.14567782326029377,
984
+ "grad_norm": 5.625,
985
+ "learning_rate": 6.0450000000000006e-05,
986
+ "loss": 0.7159,
987
+ "step": 1210
988
+ },
989
+ {
990
+ "epoch": 0.14688177221285817,
991
+ "grad_norm": 5.71875,
992
+ "learning_rate": 6.0950000000000004e-05,
993
+ "loss": 0.7932,
994
+ "step": 1220
995
+ },
996
+ {
997
+ "epoch": 0.1480857211654226,
998
+ "grad_norm": 6.53125,
999
+ "learning_rate": 6.145e-05,
1000
+ "loss": 0.6287,
1001
+ "step": 1230
1002
+ },
1003
+ {
1004
+ "epoch": 0.149289670117987,
1005
+ "grad_norm": 6.625,
1006
+ "learning_rate": 6.195e-05,
1007
+ "loss": 0.8986,
1008
+ "step": 1240
1009
+ },
1010
+ {
1011
+ "epoch": 0.15049361907055142,
1012
+ "grad_norm": 5.96875,
1013
+ "learning_rate": 6.245000000000001e-05,
1014
+ "loss": 0.681,
1015
+ "step": 1250
1016
+ },
1017
+ {
1018
+ "epoch": 0.15169756802311582,
1019
+ "grad_norm": 6.65625,
1020
+ "learning_rate": 6.295e-05,
1021
+ "loss": 0.7139,
1022
+ "step": 1260
1023
+ },
1024
+ {
1025
+ "epoch": 0.15290151697568022,
1026
+ "grad_norm": 6.75,
1027
+ "learning_rate": 6.345e-05,
1028
+ "loss": 0.72,
1029
+ "step": 1270
1030
+ },
1031
+ {
1032
+ "epoch": 0.15410546592824464,
1033
+ "grad_norm": 5.71875,
1034
+ "learning_rate": 6.395e-05,
1035
+ "loss": 0.7386,
1036
+ "step": 1280
1037
+ },
1038
+ {
1039
+ "epoch": 0.15530941488080904,
1040
+ "grad_norm": 5.6875,
1041
+ "learning_rate": 6.445e-05,
1042
+ "loss": 0.769,
1043
+ "step": 1290
1044
+ },
1045
+ {
1046
+ "epoch": 0.15651336383337347,
1047
+ "grad_norm": 6.0625,
1048
+ "learning_rate": 6.494999999999999e-05,
1049
+ "loss": 0.7968,
1050
+ "step": 1300
1051
+ },
1052
+ {
1053
+ "epoch": 0.15771731278593787,
1054
+ "grad_norm": 6.625,
1055
+ "learning_rate": 6.545e-05,
1056
+ "loss": 0.6689,
1057
+ "step": 1310
1058
+ },
1059
+ {
1060
+ "epoch": 0.1589212617385023,
1061
+ "grad_norm": 6.6875,
1062
+ "learning_rate": 6.595e-05,
1063
+ "loss": 0.6724,
1064
+ "step": 1320
1065
+ },
1066
+ {
1067
+ "epoch": 0.1601252106910667,
1068
+ "grad_norm": 7.46875,
1069
+ "learning_rate": 6.645e-05,
1070
+ "loss": 0.7493,
1071
+ "step": 1330
1072
+ },
1073
+ {
1074
+ "epoch": 0.16132915964363112,
1075
+ "grad_norm": 5.25,
1076
+ "learning_rate": 6.695e-05,
1077
+ "loss": 0.7919,
1078
+ "step": 1340
1079
+ },
1080
+ {
1081
+ "epoch": 0.16253310859619552,
1082
+ "grad_norm": 8.3125,
1083
+ "learning_rate": 6.745e-05,
1084
+ "loss": 0.6997,
1085
+ "step": 1350
1086
+ },
1087
+ {
1088
+ "epoch": 0.16373705754875995,
1089
+ "grad_norm": 5.375,
1090
+ "learning_rate": 6.795e-05,
1091
+ "loss": 0.8986,
1092
+ "step": 1360
1093
+ },
1094
+ {
1095
+ "epoch": 0.16494100650132434,
1096
+ "grad_norm": 5.5,
1097
+ "learning_rate": 6.845e-05,
1098
+ "loss": 0.6123,
1099
+ "step": 1370
1100
+ },
1101
+ {
1102
+ "epoch": 0.16614495545388874,
1103
+ "grad_norm": 5.5,
1104
+ "learning_rate": 6.895000000000001e-05,
1105
+ "loss": 0.7185,
1106
+ "step": 1380
1107
+ },
1108
+ {
1109
+ "epoch": 0.16734890440645317,
1110
+ "grad_norm": 4.625,
1111
+ "learning_rate": 6.945000000000001e-05,
1112
+ "loss": 0.6719,
1113
+ "step": 1390
1114
+ },
1115
+ {
1116
+ "epoch": 0.16855285335901757,
1117
+ "grad_norm": 6.59375,
1118
+ "learning_rate": 6.995e-05,
1119
+ "loss": 0.8054,
1120
+ "step": 1400
1121
+ },
1122
+ {
1123
+ "epoch": 0.169756802311582,
1124
+ "grad_norm": 5.28125,
1125
+ "learning_rate": 7.045e-05,
1126
+ "loss": 0.7182,
1127
+ "step": 1410
1128
+ },
1129
+ {
1130
+ "epoch": 0.1709607512641464,
1131
+ "grad_norm": 5.0625,
1132
+ "learning_rate": 7.095e-05,
1133
+ "loss": 0.6471,
1134
+ "step": 1420
1135
+ },
1136
+ {
1137
+ "epoch": 0.17216470021671082,
1138
+ "grad_norm": 4.5625,
1139
+ "learning_rate": 7.145e-05,
1140
+ "loss": 0.6292,
1141
+ "step": 1430
1142
+ },
1143
+ {
1144
+ "epoch": 0.17336864916927522,
1145
+ "grad_norm": 6.875,
1146
+ "learning_rate": 7.195e-05,
1147
+ "loss": 0.7815,
1148
+ "step": 1440
1149
+ },
1150
+ {
1151
+ "epoch": 0.17457259812183964,
1152
+ "grad_norm": 5.25,
1153
+ "learning_rate": 7.245000000000001e-05,
1154
+ "loss": 0.6529,
1155
+ "step": 1450
1156
+ },
1157
+ {
1158
+ "epoch": 0.17577654707440404,
1159
+ "grad_norm": 6.59375,
1160
+ "learning_rate": 7.295000000000001e-05,
1161
+ "loss": 0.7466,
1162
+ "step": 1460
1163
+ },
1164
+ {
1165
+ "epoch": 0.17698049602696847,
1166
+ "grad_norm": 4.84375,
1167
+ "learning_rate": 7.345000000000001e-05,
1168
+ "loss": 0.7231,
1169
+ "step": 1470
1170
+ },
1171
+ {
1172
+ "epoch": 0.17818444497953287,
1173
+ "grad_norm": 4.90625,
1174
+ "learning_rate": 7.395000000000001e-05,
1175
+ "loss": 0.6796,
1176
+ "step": 1480
1177
+ },
1178
+ {
1179
+ "epoch": 0.17938839393209727,
1180
+ "grad_norm": 4.96875,
1181
+ "learning_rate": 7.445000000000001e-05,
1182
+ "loss": 0.7144,
1183
+ "step": 1490
1184
+ },
1185
+ {
1186
+ "epoch": 0.1805923428846617,
1187
+ "grad_norm": 6.03125,
1188
+ "learning_rate": 7.495e-05,
1189
+ "loss": 0.6959,
1190
+ "step": 1500
1191
+ },
1192
+ {
1193
+ "epoch": 0.1817962918372261,
1194
+ "grad_norm": 5.84375,
1195
+ "learning_rate": 7.545e-05,
1196
+ "loss": 0.7335,
1197
+ "step": 1510
1198
+ },
1199
+ {
1200
+ "epoch": 0.18300024078979052,
1201
+ "grad_norm": 6.125,
1202
+ "learning_rate": 7.595e-05,
1203
+ "loss": 0.6612,
1204
+ "step": 1520
1205
+ },
1206
+ {
1207
+ "epoch": 0.18420418974235492,
1208
+ "grad_norm": 4.71875,
1209
+ "learning_rate": 7.645e-05,
1210
+ "loss": 0.7597,
1211
+ "step": 1530
1212
+ },
1213
+ {
1214
+ "epoch": 0.18540813869491934,
1215
+ "grad_norm": 5.71875,
1216
+ "learning_rate": 7.695e-05,
1217
+ "loss": 0.639,
1218
+ "step": 1540
1219
+ },
1220
+ {
1221
+ "epoch": 0.18661208764748374,
1222
+ "grad_norm": 6.375,
1223
+ "learning_rate": 7.745e-05,
1224
+ "loss": 0.6398,
1225
+ "step": 1550
1226
+ },
1227
+ {
1228
+ "epoch": 0.18781603660004817,
1229
+ "grad_norm": 6.5625,
1230
+ "learning_rate": 7.795e-05,
1231
+ "loss": 0.7311,
1232
+ "step": 1560
1233
+ },
1234
+ {
1235
+ "epoch": 0.18901998555261257,
1236
+ "grad_norm": 6.28125,
1237
+ "learning_rate": 7.845e-05,
1238
+ "loss": 0.7353,
1239
+ "step": 1570
1240
+ },
1241
+ {
1242
+ "epoch": 0.19022393450517697,
1243
+ "grad_norm": 4.5625,
1244
+ "learning_rate": 7.895000000000001e-05,
1245
+ "loss": 0.6926,
1246
+ "step": 1580
1247
+ },
1248
+ {
1249
+ "epoch": 0.1914278834577414,
1250
+ "grad_norm": 5.875,
1251
+ "learning_rate": 7.945e-05,
1252
+ "loss": 0.7124,
1253
+ "step": 1590
1254
+ },
1255
+ {
1256
+ "epoch": 0.1926318324103058,
1257
+ "grad_norm": 5.15625,
1258
+ "learning_rate": 7.995e-05,
1259
+ "loss": 0.758,
1260
+ "step": 1600
1261
+ },
1262
+ {
1263
+ "epoch": 0.19383578136287022,
1264
+ "grad_norm": 4.625,
1265
+ "learning_rate": 8.045e-05,
1266
+ "loss": 0.6659,
1267
+ "step": 1610
1268
+ },
1269
+ {
1270
+ "epoch": 0.19503973031543462,
1271
+ "grad_norm": 5.0625,
1272
+ "learning_rate": 8.095e-05,
1273
+ "loss": 0.6103,
1274
+ "step": 1620
1275
+ },
1276
+ {
1277
+ "epoch": 0.19624367926799904,
1278
+ "grad_norm": 5.96875,
1279
+ "learning_rate": 8.145e-05,
1280
+ "loss": 0.7149,
1281
+ "step": 1630
1282
+ },
1283
+ {
1284
+ "epoch": 0.19744762822056344,
1285
+ "grad_norm": 5.875,
1286
+ "learning_rate": 8.195e-05,
1287
+ "loss": 0.686,
1288
+ "step": 1640
1289
+ },
1290
+ {
1291
+ "epoch": 0.19865157717312787,
1292
+ "grad_norm": 6.75,
1293
+ "learning_rate": 8.245e-05,
1294
+ "loss": 0.7359,
1295
+ "step": 1650
1296
+ },
1297
+ {
1298
+ "epoch": 0.19985552612569227,
1299
+ "grad_norm": 4.90625,
1300
+ "learning_rate": 8.295000000000001e-05,
1301
+ "loss": 0.7223,
1302
+ "step": 1660
1303
+ },
1304
+ {
1305
+ "epoch": 0.2010594750782567,
1306
+ "grad_norm": 5.84375,
1307
+ "learning_rate": 8.345000000000001e-05,
1308
+ "loss": 0.7182,
1309
+ "step": 1670
1310
+ },
1311
+ {
1312
+ "epoch": 0.2022634240308211,
1313
+ "grad_norm": 4.875,
1314
+ "learning_rate": 8.395000000000001e-05,
1315
+ "loss": 0.7124,
1316
+ "step": 1680
1317
+ },
1318
+ {
1319
+ "epoch": 0.2034673729833855,
1320
+ "grad_norm": 4.875,
1321
+ "learning_rate": 8.445e-05,
1322
+ "loss": 0.6543,
1323
+ "step": 1690
1324
+ },
1325
+ {
1326
+ "epoch": 0.20467132193594992,
1327
+ "grad_norm": 4.3125,
1328
+ "learning_rate": 8.495e-05,
1329
+ "loss": 0.6369,
1330
+ "step": 1700
1331
+ },
1332
+ {
1333
+ "epoch": 0.20587527088851432,
1334
+ "grad_norm": 6.6875,
1335
+ "learning_rate": 8.545e-05,
1336
+ "loss": 0.7942,
1337
+ "step": 1710
1338
+ },
1339
+ {
1340
+ "epoch": 0.20707921984107874,
1341
+ "grad_norm": 6.9375,
1342
+ "learning_rate": 8.595e-05,
1343
+ "loss": 0.7056,
1344
+ "step": 1720
1345
+ },
1346
+ {
1347
+ "epoch": 0.20828316879364314,
1348
+ "grad_norm": 7.90625,
1349
+ "learning_rate": 8.645000000000001e-05,
1350
+ "loss": 0.6661,
1351
+ "step": 1730
1352
+ },
1353
+ {
1354
+ "epoch": 0.20948711774620757,
1355
+ "grad_norm": 5.40625,
1356
+ "learning_rate": 8.695000000000001e-05,
1357
+ "loss": 0.7553,
1358
+ "step": 1740
1359
+ },
1360
+ {
1361
+ "epoch": 0.21069106669877197,
1362
+ "grad_norm": 5.40625,
1363
+ "learning_rate": 8.745000000000001e-05,
1364
+ "loss": 0.5773,
1365
+ "step": 1750
1366
+ },
1367
+ {
1368
+ "epoch": 0.2118950156513364,
1369
+ "grad_norm": 6.875,
1370
+ "learning_rate": 8.795e-05,
1371
+ "loss": 0.6403,
1372
+ "step": 1760
1373
+ },
1374
+ {
1375
+ "epoch": 0.2130989646039008,
1376
+ "grad_norm": 5.21875,
1377
+ "learning_rate": 8.845e-05,
1378
+ "loss": 0.6805,
1379
+ "step": 1770
1380
+ },
1381
+ {
1382
+ "epoch": 0.21430291355646522,
1383
+ "grad_norm": 6.34375,
1384
+ "learning_rate": 8.895e-05,
1385
+ "loss": 0.6963,
1386
+ "step": 1780
1387
+ },
1388
+ {
1389
+ "epoch": 0.21550686250902962,
1390
+ "grad_norm": 5.6875,
1391
+ "learning_rate": 8.945e-05,
1392
+ "loss": 0.6754,
1393
+ "step": 1790
1394
+ },
1395
+ {
1396
+ "epoch": 0.21671081146159402,
1397
+ "grad_norm": 4.875,
1398
+ "learning_rate": 8.995e-05,
1399
+ "loss": 0.6748,
1400
+ "step": 1800
1401
+ },
1402
+ {
1403
+ "epoch": 0.21791476041415844,
1404
+ "grad_norm": 5.1875,
1405
+ "learning_rate": 9.045e-05,
1406
+ "loss": 0.6637,
1407
+ "step": 1810
1408
+ },
1409
+ {
1410
+ "epoch": 0.21911870936672284,
1411
+ "grad_norm": 5.46875,
1412
+ "learning_rate": 9.095e-05,
1413
+ "loss": 0.6794,
1414
+ "step": 1820
1415
+ },
1416
+ {
1417
+ "epoch": 0.22032265831928727,
1418
+ "grad_norm": 5.90625,
1419
+ "learning_rate": 9.145e-05,
1420
+ "loss": 0.6713,
1421
+ "step": 1830
1422
+ },
1423
+ {
1424
+ "epoch": 0.22152660727185167,
1425
+ "grad_norm": 5.90625,
1426
+ "learning_rate": 9.195e-05,
1427
+ "loss": 0.6591,
1428
+ "step": 1840
1429
+ },
1430
+ {
1431
+ "epoch": 0.2227305562244161,
1432
+ "grad_norm": 5.84375,
1433
+ "learning_rate": 9.245e-05,
1434
+ "loss": 0.6735,
1435
+ "step": 1850
1436
+ },
1437
+ {
1438
+ "epoch": 0.2239345051769805,
1439
+ "grad_norm": 5.21875,
1440
+ "learning_rate": 9.295000000000001e-05,
1441
+ "loss": 0.6405,
1442
+ "step": 1860
1443
+ },
1444
+ {
1445
+ "epoch": 0.22513845412954492,
1446
+ "grad_norm": 6.75,
1447
+ "learning_rate": 9.345000000000001e-05,
1448
+ "loss": 0.855,
1449
+ "step": 1870
1450
+ },
1451
+ {
1452
+ "epoch": 0.22634240308210932,
1453
+ "grad_norm": 4.65625,
1454
+ "learning_rate": 9.395000000000001e-05,
1455
+ "loss": 0.6795,
1456
+ "step": 1880
1457
+ },
1458
+ {
1459
+ "epoch": 0.22754635203467374,
1460
+ "grad_norm": 5.53125,
1461
+ "learning_rate": 9.445e-05,
1462
+ "loss": 0.7027,
1463
+ "step": 1890
1464
+ },
1465
+ {
1466
+ "epoch": 0.22875030098723814,
1467
+ "grad_norm": 5.71875,
1468
+ "learning_rate": 9.495e-05,
1469
+ "loss": 0.6272,
1470
+ "step": 1900
1471
+ },
1472
+ {
1473
+ "epoch": 0.22995424993980254,
1474
+ "grad_norm": 5.28125,
1475
+ "learning_rate": 9.545e-05,
1476
+ "loss": 0.6486,
1477
+ "step": 1910
1478
+ },
1479
+ {
1480
+ "epoch": 0.23115819889236697,
1481
+ "grad_norm": 7.75,
1482
+ "learning_rate": 9.595e-05,
1483
+ "loss": 0.6701,
1484
+ "step": 1920
1485
+ },
1486
+ {
1487
+ "epoch": 0.23236214784493137,
1488
+ "grad_norm": 5.8125,
1489
+ "learning_rate": 9.645000000000001e-05,
1490
+ "loss": 0.6247,
1491
+ "step": 1930
1492
+ },
1493
+ {
1494
+ "epoch": 0.2335660967974958,
1495
+ "grad_norm": 6.25,
1496
+ "learning_rate": 9.695000000000001e-05,
1497
+ "loss": 0.5737,
1498
+ "step": 1940
1499
+ },
1500
+ {
1501
+ "epoch": 0.2347700457500602,
1502
+ "grad_norm": 5.6875,
1503
+ "learning_rate": 9.745000000000001e-05,
1504
+ "loss": 0.6458,
1505
+ "step": 1950
1506
+ },
1507
+ {
1508
+ "epoch": 0.23597399470262462,
1509
+ "grad_norm": 5.75,
1510
+ "learning_rate": 9.795000000000001e-05,
1511
+ "loss": 0.6185,
1512
+ "step": 1960
1513
+ },
1514
+ {
1515
+ "epoch": 0.23717794365518902,
1516
+ "grad_norm": 5.03125,
1517
+ "learning_rate": 9.845000000000001e-05,
1518
+ "loss": 0.6793,
1519
+ "step": 1970
1520
+ },
1521
+ {
1522
+ "epoch": 0.23838189260775344,
1523
+ "grad_norm": 4.8125,
1524
+ "learning_rate": 9.895e-05,
1525
+ "loss": 0.6427,
1526
+ "step": 1980
1527
+ },
1528
+ {
1529
+ "epoch": 0.23958584156031784,
1530
+ "grad_norm": 6.4375,
1531
+ "learning_rate": 9.945e-05,
1532
+ "loss": 0.5906,
1533
+ "step": 1990
1534
+ },
1535
+ {
1536
+ "epoch": 0.24078979051288224,
1537
+ "grad_norm": 4.875,
1538
+ "learning_rate": 9.995e-05,
1539
+ "loss": 0.722,
1540
+ "step": 2000
1541
+ },
1542
+ {
1543
+ "epoch": 0.24078979051288224,
1544
+ "eval/nano_beir.arguana": 0.4525611780495533,
1545
+ "step": 2000
1546
+ },
1547
+ {
1548
+ "epoch": 0.24078979051288224,
1549
+ "eval/nano_beir.climate_fever": 0.2570101915834051,
1550
+ "step": 2000
1551
+ },
1552
+ {
1553
+ "epoch": 0.24078979051288224,
1554
+ "eval/nano_beir.dbpedia_entity": 0.32066621016721925,
1555
+ "step": 2000
1556
+ },
1557
+ {
1558
+ "epoch": 0.24078979051288224,
1559
+ "eval/nano_beir.fever": 0.6653091674586123,
1560
+ "step": 2000
1561
+ },
1562
+ {
1563
+ "epoch": 0.24078979051288224,
1564
+ "eval/nano_beir.fiqa": 0.4363959457519276,
1565
+ "step": 2000
1566
+ },
1567
+ {
1568
+ "epoch": 0.24078979051288224,
1569
+ "eval/nano_beir.hotpotqa": 0.6777722196406764,
1570
+ "step": 2000
1571
+ },
1572
+ {
1573
+ "epoch": 0.24078979051288224,
1574
+ "eval/nano_beir.nfcorpus": 0.34079846618923787,
1575
+ "step": 2000
1576
+ },
1577
+ {
1578
+ "epoch": 0.24078979051288224,
1579
+ "eval/nano_beir.nq": 0.4250588398489226,
1580
+ "step": 2000
1581
+ },
1582
+ {
1583
+ "epoch": 0.24078979051288224,
1584
+ "eval/nano_beir.quora": 0.8267157890689902,
1585
+ "step": 2000
1586
+ },
1587
+ {
1588
+ "epoch": 0.24078979051288224,
1589
+ "eval/nano_beir.scidocs": 0.2523924791841879,
1590
+ "step": 2000
1591
+ },
1592
+ {
1593
+ "epoch": 0.24078979051288224,
1594
+ "eval/nano_beir.scifact": 0.7454362051377628,
1595
+ "step": 2000
1596
+ },
1597
+ {
1598
+ "epoch": 0.24078979051288224,
1599
+ "eval/nano_beir.webis_touche2020": 0.2983187434961579,
1600
+ "step": 2000
1601
+ },
1602
+ {
1603
+ "epoch": 0.24078979051288224,
1604
+ "eval/avg": 0.47486961963138774,
1605
+ "step": 2000
1606
+ },
1607
+ {
1608
+ "epoch": 0.24199373946544667,
1609
+ "grad_norm": 4.90625,
1610
+ "learning_rate": 9.999993831498517e-05,
1611
+ "loss": 0.629,
1612
+ "step": 2010
1613
+ },
1614
+ {
1615
+ "epoch": 0.24319768841801107,
1616
+ "grad_norm": 5.15625,
1617
+ "learning_rate": 9.999972508303057e-05,
1618
+ "loss": 0.6816,
1619
+ "step": 2020
1620
+ },
1621
+ {
1622
+ "epoch": 0.2444016373705755,
1623
+ "grad_norm": 4.3125,
1624
+ "learning_rate": 9.999935954324219e-05,
1625
+ "loss": 0.6942,
1626
+ "step": 2030
1627
+ },
1628
+ {
1629
+ "epoch": 0.2456055863231399,
1630
+ "grad_norm": 4.40625,
1631
+ "learning_rate": 9.999884169673351e-05,
1632
+ "loss": 0.6213,
1633
+ "step": 2040
1634
+ },
1635
+ {
1636
+ "epoch": 0.24680953527570432,
1637
+ "grad_norm": 6.375,
1638
+ "learning_rate": 9.9998171545082e-05,
1639
+ "loss": 0.7049,
1640
+ "step": 2050
1641
+ },
1642
+ {
1643
+ "epoch": 0.24801348422826872,
1644
+ "grad_norm": 6.40625,
1645
+ "learning_rate": 9.999734909032906e-05,
1646
+ "loss": 0.6177,
1647
+ "step": 2060
1648
+ },
1649
+ {
1650
+ "epoch": 0.24921743318083314,
1651
+ "grad_norm": 5.71875,
1652
+ "learning_rate": 9.999637433497999e-05,
1653
+ "loss": 0.674,
1654
+ "step": 2070
1655
+ },
1656
+ {
1657
+ "epoch": 0.25042138213339754,
1658
+ "grad_norm": 5.25,
1659
+ "learning_rate": 9.999524728200411e-05,
1660
+ "loss": 0.5632,
1661
+ "step": 2080
1662
+ },
1663
+ {
1664
+ "epoch": 0.25162533108596197,
1665
+ "grad_norm": 5.96875,
1666
+ "learning_rate": 9.999396793483462e-05,
1667
+ "loss": 0.6868,
1668
+ "step": 2090
1669
+ },
1670
+ {
1671
+ "epoch": 0.2528292800385264,
1672
+ "grad_norm": 7.125,
1673
+ "learning_rate": 9.99925362973686e-05,
1674
+ "loss": 0.6709,
1675
+ "step": 2100
1676
+ },
1677
+ {
1678
+ "epoch": 0.25403322899109076,
1679
+ "grad_norm": 4.5,
1680
+ "learning_rate": 9.999095237396707e-05,
1681
+ "loss": 0.6105,
1682
+ "step": 2110
1683
+ },
1684
+ {
1685
+ "epoch": 0.2552371779436552,
1686
+ "grad_norm": 6.09375,
1687
+ "learning_rate": 9.998921616945498e-05,
1688
+ "loss": 0.7128,
1689
+ "step": 2120
1690
+ },
1691
+ {
1692
+ "epoch": 0.2564411268962196,
1693
+ "grad_norm": 5.5,
1694
+ "learning_rate": 9.998732768912104e-05,
1695
+ "loss": 0.6496,
1696
+ "step": 2130
1697
+ },
1698
+ {
1699
+ "epoch": 0.257645075848784,
1700
+ "grad_norm": 4.90625,
1701
+ "learning_rate": 9.998528693871796e-05,
1702
+ "loss": 0.7465,
1703
+ "step": 2140
1704
+ },
1705
+ {
1706
+ "epoch": 0.2588490248013484,
1707
+ "grad_norm": 6.09375,
1708
+ "learning_rate": 9.998309392446217e-05,
1709
+ "loss": 0.6041,
1710
+ "step": 2150
1711
+ },
1712
+ {
1713
+ "epoch": 0.26005297375391284,
1714
+ "grad_norm": 5.15625,
1715
+ "learning_rate": 9.998074865303399e-05,
1716
+ "loss": 0.6091,
1717
+ "step": 2160
1718
+ },
1719
+ {
1720
+ "epoch": 0.26125692270647727,
1721
+ "grad_norm": 4.4375,
1722
+ "learning_rate": 9.997825113157753e-05,
1723
+ "loss": 0.7457,
1724
+ "step": 2170
1725
+ },
1726
+ {
1727
+ "epoch": 0.26246087165904164,
1728
+ "grad_norm": 4.8125,
1729
+ "learning_rate": 9.997560136770065e-05,
1730
+ "loss": 0.6663,
1731
+ "step": 2180
1732
+ },
1733
+ {
1734
+ "epoch": 0.26366482061160607,
1735
+ "grad_norm": 4.21875,
1736
+ "learning_rate": 9.997279936947502e-05,
1737
+ "loss": 0.7311,
1738
+ "step": 2190
1739
+ },
1740
+ {
1741
+ "epoch": 0.2648687695641705,
1742
+ "grad_norm": 5.5625,
1743
+ "learning_rate": 9.996984514543598e-05,
1744
+ "loss": 0.5879,
1745
+ "step": 2200
1746
+ },
1747
+ {
1748
+ "epoch": 0.26607271851673486,
1749
+ "grad_norm": 4.96875,
1750
+ "learning_rate": 9.996673870458264e-05,
1751
+ "loss": 0.7008,
1752
+ "step": 2210
1753
+ },
1754
+ {
1755
+ "epoch": 0.2672766674692993,
1756
+ "grad_norm": 5.09375,
1757
+ "learning_rate": 9.996348005637775e-05,
1758
+ "loss": 0.5099,
1759
+ "step": 2220
1760
+ },
1761
+ {
1762
+ "epoch": 0.2684806164218637,
1763
+ "grad_norm": 6.6875,
1764
+ "learning_rate": 9.99600692107477e-05,
1765
+ "loss": 0.6186,
1766
+ "step": 2230
1767
+ },
1768
+ {
1769
+ "epoch": 0.26968456537442814,
1770
+ "grad_norm": 5.15625,
1771
+ "learning_rate": 9.995650617808252e-05,
1772
+ "loss": 0.6839,
1773
+ "step": 2240
1774
+ },
1775
+ {
1776
+ "epoch": 0.2708885143269925,
1777
+ "grad_norm": 3.90625,
1778
+ "learning_rate": 9.995279096923585e-05,
1779
+ "loss": 0.6287,
1780
+ "step": 2250
1781
+ },
1782
+ {
1783
+ "epoch": 0.27209246327955694,
1784
+ "grad_norm": 3.921875,
1785
+ "learning_rate": 9.994892359552483e-05,
1786
+ "loss": 0.5221,
1787
+ "step": 2260
1788
+ },
1789
+ {
1790
+ "epoch": 0.27329641223212137,
1791
+ "grad_norm": 6.4375,
1792
+ "learning_rate": 9.994490406873019e-05,
1793
+ "loss": 0.6728,
1794
+ "step": 2270
1795
+ },
1796
+ {
1797
+ "epoch": 0.2745003611846858,
1798
+ "grad_norm": 4.375,
1799
+ "learning_rate": 9.994073240109606e-05,
1800
+ "loss": 0.5306,
1801
+ "step": 2280
1802
+ },
1803
+ {
1804
+ "epoch": 0.27570431013725016,
1805
+ "grad_norm": 5.65625,
1806
+ "learning_rate": 9.993640860533009e-05,
1807
+ "loss": 0.6765,
1808
+ "step": 2290
1809
+ },
1810
+ {
1811
+ "epoch": 0.2769082590898146,
1812
+ "grad_norm": 5.09375,
1813
+ "learning_rate": 9.99319326946033e-05,
1814
+ "loss": 0.5858,
1815
+ "step": 2300
1816
+ },
1817
+ {
1818
+ "epoch": 0.278112208042379,
1819
+ "grad_norm": 6.0625,
1820
+ "learning_rate": 9.992730468255011e-05,
1821
+ "loss": 0.6345,
1822
+ "step": 2310
1823
+ },
1824
+ {
1825
+ "epoch": 0.2793161569949434,
1826
+ "grad_norm": 4.9375,
1827
+ "learning_rate": 9.992252458326823e-05,
1828
+ "loss": 0.5993,
1829
+ "step": 2320
1830
+ },
1831
+ {
1832
+ "epoch": 0.2805201059475078,
1833
+ "grad_norm": 4.65625,
1834
+ "learning_rate": 9.991759241131869e-05,
1835
+ "loss": 0.7848,
1836
+ "step": 2330
1837
+ },
1838
+ {
1839
+ "epoch": 0.28172405490007224,
1840
+ "grad_norm": 4.5625,
1841
+ "learning_rate": 9.99125081817257e-05,
1842
+ "loss": 0.565,
1843
+ "step": 2340
1844
+ },
1845
+ {
1846
+ "epoch": 0.28292800385263667,
1847
+ "grad_norm": 3.796875,
1848
+ "learning_rate": 9.990727190997674e-05,
1849
+ "loss": 0.5264,
1850
+ "step": 2350
1851
+ },
1852
+ {
1853
+ "epoch": 0.28413195280520104,
1854
+ "grad_norm": 4.21875,
1855
+ "learning_rate": 9.99018836120224e-05,
1856
+ "loss": 0.6909,
1857
+ "step": 2360
1858
+ },
1859
+ {
1860
+ "epoch": 0.28533590175776546,
1861
+ "grad_norm": 4.0,
1862
+ "learning_rate": 9.989634330427636e-05,
1863
+ "loss": 0.6056,
1864
+ "step": 2370
1865
+ },
1866
+ {
1867
+ "epoch": 0.2865398507103299,
1868
+ "grad_norm": 5.9375,
1869
+ "learning_rate": 9.989065100361536e-05,
1870
+ "loss": 0.6339,
1871
+ "step": 2380
1872
+ },
1873
+ {
1874
+ "epoch": 0.2877437996628943,
1875
+ "grad_norm": 5.84375,
1876
+ "learning_rate": 9.988480672737915e-05,
1877
+ "loss": 0.6631,
1878
+ "step": 2390
1879
+ },
1880
+ {
1881
+ "epoch": 0.2889477486154587,
1882
+ "grad_norm": 4.03125,
1883
+ "learning_rate": 9.987881049337037e-05,
1884
+ "loss": 0.6711,
1885
+ "step": 2400
1886
+ },
1887
+ {
1888
+ "epoch": 0.2901516975680231,
1889
+ "grad_norm": 4.65625,
1890
+ "learning_rate": 9.987266231985462e-05,
1891
+ "loss": 0.6853,
1892
+ "step": 2410
1893
+ },
1894
+ {
1895
+ "epoch": 0.29135564652058754,
1896
+ "grad_norm": 5.5625,
1897
+ "learning_rate": 9.986636222556032e-05,
1898
+ "loss": 0.593,
1899
+ "step": 2420
1900
+ },
1901
+ {
1902
+ "epoch": 0.2925595954731519,
1903
+ "grad_norm": 5.40625,
1904
+ "learning_rate": 9.98599102296786e-05,
1905
+ "loss": 0.5731,
1906
+ "step": 2430
1907
+ },
1908
+ {
1909
+ "epoch": 0.29376354442571634,
1910
+ "grad_norm": 4.21875,
1911
+ "learning_rate": 9.985330635186341e-05,
1912
+ "loss": 0.5369,
1913
+ "step": 2440
1914
+ },
1915
+ {
1916
+ "epoch": 0.29496749337828077,
1917
+ "grad_norm": 5.1875,
1918
+ "learning_rate": 9.984655061223126e-05,
1919
+ "loss": 0.6457,
1920
+ "step": 2450
1921
+ },
1922
+ {
1923
+ "epoch": 0.2961714423308452,
1924
+ "grad_norm": 4.6875,
1925
+ "learning_rate": 9.983964303136133e-05,
1926
+ "loss": 0.482,
1927
+ "step": 2460
1928
+ },
1929
+ {
1930
+ "epoch": 0.29737539128340956,
1931
+ "grad_norm": 6.5,
1932
+ "learning_rate": 9.983258363029531e-05,
1933
+ "loss": 0.6507,
1934
+ "step": 2470
1935
+ },
1936
+ {
1937
+ "epoch": 0.298579340235974,
1938
+ "grad_norm": 3.875,
1939
+ "learning_rate": 9.982537243053737e-05,
1940
+ "loss": 0.5553,
1941
+ "step": 2480
1942
+ },
1943
+ {
1944
+ "epoch": 0.2997832891885384,
1945
+ "grad_norm": 5.21875,
1946
+ "learning_rate": 9.981800945405403e-05,
1947
+ "loss": 0.5712,
1948
+ "step": 2490
1949
+ },
1950
+ {
1951
+ "epoch": 0.30098723814110284,
1952
+ "grad_norm": 4.875,
1953
+ "learning_rate": 9.981049472327426e-05,
1954
+ "loss": 0.6483,
1955
+ "step": 2500
1956
+ },
1957
+ {
1958
+ "epoch": 0.3021911870936672,
1959
+ "grad_norm": 4.15625,
1960
+ "learning_rate": 9.980282826108918e-05,
1961
+ "loss": 0.5455,
1962
+ "step": 2510
1963
+ },
1964
+ {
1965
+ "epoch": 0.30339513604623164,
1966
+ "grad_norm": 5.09375,
1967
+ "learning_rate": 9.979501009085219e-05,
1968
+ "loss": 0.7318,
1969
+ "step": 2520
1970
+ },
1971
+ {
1972
+ "epoch": 0.30459908499879607,
1973
+ "grad_norm": 5.78125,
1974
+ "learning_rate": 9.978704023637878e-05,
1975
+ "loss": 0.6642,
1976
+ "step": 2530
1977
+ },
1978
+ {
1979
+ "epoch": 0.30580303395136044,
1980
+ "grad_norm": 6.71875,
1981
+ "learning_rate": 9.97789187219465e-05,
1982
+ "loss": 0.6208,
1983
+ "step": 2540
1984
+ },
1985
+ {
1986
+ "epoch": 0.30700698290392486,
1987
+ "grad_norm": 4.90625,
1988
+ "learning_rate": 9.977064557229492e-05,
1989
+ "loss": 0.6076,
1990
+ "step": 2550
1991
+ },
1992
+ {
1993
+ "epoch": 0.3082109318564893,
1994
+ "grad_norm": 6.09375,
1995
+ "learning_rate": 9.976222081262545e-05,
1996
+ "loss": 0.5148,
1997
+ "step": 2560
1998
+ },
1999
+ {
2000
+ "epoch": 0.3094148808090537,
2001
+ "grad_norm": 4.78125,
2002
+ "learning_rate": 9.975364446860142e-05,
2003
+ "loss": 0.642,
2004
+ "step": 2570
2005
+ },
2006
+ {
2007
+ "epoch": 0.3106188297616181,
2008
+ "grad_norm": 5.0625,
2009
+ "learning_rate": 9.974491656634782e-05,
2010
+ "loss": 0.6305,
2011
+ "step": 2580
2012
+ },
2013
+ {
2014
+ "epoch": 0.3118227787141825,
2015
+ "grad_norm": 4.5625,
2016
+ "learning_rate": 9.973603713245135e-05,
2017
+ "loss": 0.6977,
2018
+ "step": 2590
2019
+ },
2020
+ {
2021
+ "epoch": 0.31302672766674694,
2022
+ "grad_norm": 5.0,
2023
+ "learning_rate": 9.972700619396033e-05,
2024
+ "loss": 0.6351,
2025
+ "step": 2600
2026
+ },
2027
+ {
2028
+ "epoch": 0.31423067661931137,
2029
+ "grad_norm": 4.8125,
2030
+ "learning_rate": 9.971782377838457e-05,
2031
+ "loss": 0.6461,
2032
+ "step": 2610
2033
+ },
2034
+ {
2035
+ "epoch": 0.31543462557187574,
2036
+ "grad_norm": 4.53125,
2037
+ "learning_rate": 9.970848991369529e-05,
2038
+ "loss": 0.6827,
2039
+ "step": 2620
2040
+ },
2041
+ {
2042
+ "epoch": 0.31663857452444016,
2043
+ "grad_norm": 3.890625,
2044
+ "learning_rate": 9.969900462832505e-05,
2045
+ "loss": 0.6179,
2046
+ "step": 2630
2047
+ },
2048
+ {
2049
+ "epoch": 0.3178425234770046,
2050
+ "grad_norm": 4.90625,
2051
+ "learning_rate": 9.968936795116768e-05,
2052
+ "loss": 0.5521,
2053
+ "step": 2640
2054
+ },
2055
+ {
2056
+ "epoch": 0.31904647242956896,
2057
+ "grad_norm": 4.59375,
2058
+ "learning_rate": 9.967957991157817e-05,
2059
+ "loss": 0.6362,
2060
+ "step": 2650
2061
+ },
2062
+ {
2063
+ "epoch": 0.3202504213821334,
2064
+ "grad_norm": 5.46875,
2065
+ "learning_rate": 9.96696405393726e-05,
2066
+ "loss": 0.7081,
2067
+ "step": 2660
2068
+ },
2069
+ {
2070
+ "epoch": 0.3214543703346978,
2071
+ "grad_norm": 4.125,
2072
+ "learning_rate": 9.965954986482799e-05,
2073
+ "loss": 0.6079,
2074
+ "step": 2670
2075
+ },
2076
+ {
2077
+ "epoch": 0.32265831928726224,
2078
+ "grad_norm": 4.625,
2079
+ "learning_rate": 9.964930791868233e-05,
2080
+ "loss": 0.6601,
2081
+ "step": 2680
2082
+ },
2083
+ {
2084
+ "epoch": 0.3238622682398266,
2085
+ "grad_norm": 4.4375,
2086
+ "learning_rate": 9.963891473213431e-05,
2087
+ "loss": 0.4889,
2088
+ "step": 2690
2089
+ },
2090
+ {
2091
+ "epoch": 0.32506621719239104,
2092
+ "grad_norm": 5.84375,
2093
+ "learning_rate": 9.962837033684343e-05,
2094
+ "loss": 0.5751,
2095
+ "step": 2700
2096
+ },
2097
+ {
2098
+ "epoch": 0.32627016614495546,
2099
+ "grad_norm": 5.875,
2100
+ "learning_rate": 9.96176747649297e-05,
2101
+ "loss": 0.5564,
2102
+ "step": 2710
2103
+ },
2104
+ {
2105
+ "epoch": 0.3274741150975199,
2106
+ "grad_norm": 3.8125,
2107
+ "learning_rate": 9.960682804897372e-05,
2108
+ "loss": 0.6049,
2109
+ "step": 2720
2110
+ },
2111
+ {
2112
+ "epoch": 0.32867806405008426,
2113
+ "grad_norm": 5.0625,
2114
+ "learning_rate": 9.959583022201647e-05,
2115
+ "loss": 0.6224,
2116
+ "step": 2730
2117
+ },
2118
+ {
2119
+ "epoch": 0.3298820130026487,
2120
+ "grad_norm": 4.9375,
2121
+ "learning_rate": 9.958468131755923e-05,
2122
+ "loss": 0.6209,
2123
+ "step": 2740
2124
+ },
2125
+ {
2126
+ "epoch": 0.3310859619552131,
2127
+ "grad_norm": 5.09375,
2128
+ "learning_rate": 9.957338136956347e-05,
2129
+ "loss": 0.6223,
2130
+ "step": 2750
2131
+ },
2132
+ {
2133
+ "epoch": 0.3322899109077775,
2134
+ "grad_norm": 4.625,
2135
+ "learning_rate": 9.956193041245084e-05,
2136
+ "loss": 0.5007,
2137
+ "step": 2760
2138
+ },
2139
+ {
2140
+ "epoch": 0.3334938598603419,
2141
+ "grad_norm": 5.125,
2142
+ "learning_rate": 9.955032848110288e-05,
2143
+ "loss": 0.7128,
2144
+ "step": 2770
2145
+ },
2146
+ {
2147
+ "epoch": 0.33469780881290634,
2148
+ "grad_norm": 3.765625,
2149
+ "learning_rate": 9.953857561086115e-05,
2150
+ "loss": 0.6118,
2151
+ "step": 2780
2152
+ },
2153
+ {
2154
+ "epoch": 0.33590175776547077,
2155
+ "grad_norm": 4.5,
2156
+ "learning_rate": 9.952667183752689e-05,
2157
+ "loss": 0.6389,
2158
+ "step": 2790
2159
+ },
2160
+ {
2161
+ "epoch": 0.33710570671803514,
2162
+ "grad_norm": 5.40625,
2163
+ "learning_rate": 9.951461719736109e-05,
2164
+ "loss": 0.6104,
2165
+ "step": 2800
2166
+ },
2167
+ {
2168
+ "epoch": 0.33830965567059956,
2169
+ "grad_norm": 5.65625,
2170
+ "learning_rate": 9.950241172708423e-05,
2171
+ "loss": 0.5951,
2172
+ "step": 2810
2173
+ },
2174
+ {
2175
+ "epoch": 0.339513604623164,
2176
+ "grad_norm": 4.375,
2177
+ "learning_rate": 9.949005546387631e-05,
2178
+ "loss": 0.719,
2179
+ "step": 2820
2180
+ },
2181
+ {
2182
+ "epoch": 0.3407175535757284,
2183
+ "grad_norm": 6.0,
2184
+ "learning_rate": 9.947754844537666e-05,
2185
+ "loss": 0.5546,
2186
+ "step": 2830
2187
+ },
2188
+ {
2189
+ "epoch": 0.3419215025282928,
2190
+ "grad_norm": 5.0,
2191
+ "learning_rate": 9.946489070968383e-05,
2192
+ "loss": 0.6485,
2193
+ "step": 2840
2194
+ },
2195
+ {
2196
+ "epoch": 0.3431254514808572,
2197
+ "grad_norm": 5.4375,
2198
+ "learning_rate": 9.945208229535548e-05,
2199
+ "loss": 0.4833,
2200
+ "step": 2850
2201
+ },
2202
+ {
2203
+ "epoch": 0.34432940043342164,
2204
+ "grad_norm": 4.6875,
2205
+ "learning_rate": 9.943912324140823e-05,
2206
+ "loss": 0.6452,
2207
+ "step": 2860
2208
+ },
2209
+ {
2210
+ "epoch": 0.345533349385986,
2211
+ "grad_norm": 7.78125,
2212
+ "learning_rate": 9.942601358731762e-05,
2213
+ "loss": 0.6203,
2214
+ "step": 2870
2215
+ },
2216
+ {
2217
+ "epoch": 0.34673729833855044,
2218
+ "grad_norm": 5.78125,
2219
+ "learning_rate": 9.941275337301796e-05,
2220
+ "loss": 0.5906,
2221
+ "step": 2880
2222
+ },
2223
+ {
2224
+ "epoch": 0.34794124729111486,
2225
+ "grad_norm": 3.578125,
2226
+ "learning_rate": 9.939934263890213e-05,
2227
+ "loss": 0.6033,
2228
+ "step": 2890
2229
+ },
2230
+ {
2231
+ "epoch": 0.3491451962436793,
2232
+ "grad_norm": 4.21875,
2233
+ "learning_rate": 9.938578142582155e-05,
2234
+ "loss": 0.5577,
2235
+ "step": 2900
2236
+ },
2237
+ {
2238
+ "epoch": 0.35034914519624366,
2239
+ "grad_norm": 5.1875,
2240
+ "learning_rate": 9.937206977508604e-05,
2241
+ "loss": 0.584,
2242
+ "step": 2910
2243
+ },
2244
+ {
2245
+ "epoch": 0.3515530941488081,
2246
+ "grad_norm": 5.65625,
2247
+ "learning_rate": 9.935820772846367e-05,
2248
+ "loss": 0.6395,
2249
+ "step": 2920
2250
+ },
2251
+ {
2252
+ "epoch": 0.3527570431013725,
2253
+ "grad_norm": 4.9375,
2254
+ "learning_rate": 9.934419532818063e-05,
2255
+ "loss": 0.6887,
2256
+ "step": 2930
2257
+ },
2258
+ {
2259
+ "epoch": 0.35396099205393694,
2260
+ "grad_norm": 3.515625,
2261
+ "learning_rate": 9.933003261692113e-05,
2262
+ "loss": 0.6007,
2263
+ "step": 2940
2264
+ },
2265
+ {
2266
+ "epoch": 0.3551649410065013,
2267
+ "grad_norm": 3.765625,
2268
+ "learning_rate": 9.931571963782721e-05,
2269
+ "loss": 0.5343,
2270
+ "step": 2950
2271
+ },
2272
+ {
2273
+ "epoch": 0.35636888995906574,
2274
+ "grad_norm": 6.625,
2275
+ "learning_rate": 9.930125643449875e-05,
2276
+ "loss": 0.6603,
2277
+ "step": 2960
2278
+ },
2279
+ {
2280
+ "epoch": 0.35757283891163016,
2281
+ "grad_norm": 5.78125,
2282
+ "learning_rate": 9.928664305099314e-05,
2283
+ "loss": 0.6181,
2284
+ "step": 2970
2285
+ },
2286
+ {
2287
+ "epoch": 0.35877678786419454,
2288
+ "grad_norm": 5.46875,
2289
+ "learning_rate": 9.927187953182525e-05,
2290
+ "loss": 0.6866,
2291
+ "step": 2980
2292
+ },
2293
+ {
2294
+ "epoch": 0.35998073681675896,
2295
+ "grad_norm": 5.3125,
2296
+ "learning_rate": 9.925696592196736e-05,
2297
+ "loss": 0.6638,
2298
+ "step": 2990
2299
+ },
2300
+ {
2301
+ "epoch": 0.3611846857693234,
2302
+ "grad_norm": 4.65625,
2303
+ "learning_rate": 9.92419022668489e-05,
2304
+ "loss": 0.6748,
2305
+ "step": 3000
2306
+ },
2307
+ {
2308
+ "epoch": 0.3611846857693234,
2309
+ "eval/nano_beir.arguana": 0.43364873258121056,
2310
+ "step": 3000
2311
+ },
2312
+ {
2313
+ "epoch": 0.3611846857693234,
2314
+ "eval/nano_beir.climate_fever": 0.2460637609555945,
2315
+ "step": 3000
2316
+ },
2317
+ {
2318
+ "epoch": 0.3611846857693234,
2319
+ "eval/nano_beir.dbpedia_entity": 0.3159084412902975,
2320
+ "step": 3000
2321
+ },
2322
+ {
2323
+ "epoch": 0.3611846857693234,
2324
+ "eval/nano_beir.fever": 0.6561861919849862,
2325
+ "step": 3000
2326
+ },
2327
+ {
2328
+ "epoch": 0.3611846857693234,
2329
+ "eval/nano_beir.fiqa": 0.4461917273661319,
2330
+ "step": 3000
2331
+ },
2332
+ {
2333
+ "epoch": 0.3611846857693234,
2334
+ "eval/nano_beir.hotpotqa": 0.6787641908210825,
2335
+ "step": 3000
2336
+ },
2337
+ {
2338
+ "epoch": 0.3611846857693234,
2339
+ "eval/nano_beir.nfcorpus": 0.3435535179091152,
2340
+ "step": 3000
2341
+ },
2342
+ {
2343
+ "epoch": 0.3611846857693234,
2344
+ "eval/nano_beir.nq": 0.4301288631476355,
2345
+ "step": 3000
2346
+ },
2347
+ {
2348
+ "epoch": 0.3611846857693234,
2349
+ "eval/nano_beir.quora": 0.840867288047918,
2350
+ "step": 3000
2351
+ },
2352
+ {
2353
+ "epoch": 0.3611846857693234,
2354
+ "eval/nano_beir.scidocs": 0.2483700409338938,
2355
+ "step": 3000
2356
+ },
2357
+ {
2358
+ "epoch": 0.3611846857693234,
2359
+ "eval/nano_beir.scifact": 0.7407091437249231,
2360
+ "step": 3000
2361
+ },
2362
+ {
2363
+ "epoch": 0.3611846857693234,
2364
+ "eval/nano_beir.webis_touche2020": 0.2932674650458427,
2365
+ "step": 3000
2366
+ },
2367
+ {
2368
+ "epoch": 0.3611846857693234,
2369
+ "eval/avg": 0.4728049469840527,
2370
+ "step": 3000
2371
+ },
2372
+ {
2373
+ "epoch": 0.3623886347218878,
2374
+ "grad_norm": 4.21875,
2375
+ "learning_rate": 9.92266886123564e-05,
2376
+ "loss": 0.6107,
2377
+ "step": 3010
2378
+ },
2379
+ {
2380
+ "epoch": 0.3635925836744522,
2381
+ "grad_norm": 5.875,
2382
+ "learning_rate": 9.921132500483325e-05,
2383
+ "loss": 0.6822,
2384
+ "step": 3020
2385
+ },
2386
+ {
2387
+ "epoch": 0.3647965326270166,
2388
+ "grad_norm": 5.1875,
2389
+ "learning_rate": 9.919581149107968e-05,
2390
+ "loss": 0.6194,
2391
+ "step": 3030
2392
+ },
2393
+ {
2394
+ "epoch": 0.36600048157958104,
2395
+ "grad_norm": 3.5,
2396
+ "learning_rate": 9.918014811835254e-05,
2397
+ "loss": 0.5776,
2398
+ "step": 3040
2399
+ },
2400
+ {
2401
+ "epoch": 0.3672044305321454,
2402
+ "grad_norm": 6.84375,
2403
+ "learning_rate": 9.91643349343652e-05,
2404
+ "loss": 0.6947,
2405
+ "step": 3050
2406
+ },
2407
+ {
2408
+ "epoch": 0.36840837948470984,
2409
+ "grad_norm": 5.25,
2410
+ "learning_rate": 9.914837198728733e-05,
2411
+ "loss": 0.5273,
2412
+ "step": 3060
2413
+ },
2414
+ {
2415
+ "epoch": 0.36961232843727426,
2416
+ "grad_norm": 6.25,
2417
+ "learning_rate": 9.913225932574486e-05,
2418
+ "loss": 0.655,
2419
+ "step": 3070
2420
+ },
2421
+ {
2422
+ "epoch": 0.3708162773898387,
2423
+ "grad_norm": 6.46875,
2424
+ "learning_rate": 9.911599699881974e-05,
2425
+ "loss": 0.659,
2426
+ "step": 3080
2427
+ },
2428
+ {
2429
+ "epoch": 0.37202022634240306,
2430
+ "grad_norm": 5.09375,
2431
+ "learning_rate": 9.909958505604984e-05,
2432
+ "loss": 0.6164,
2433
+ "step": 3090
2434
+ },
2435
+ {
2436
+ "epoch": 0.3732241752949675,
2437
+ "grad_norm": 5.90625,
2438
+ "learning_rate": 9.908302354742878e-05,
2439
+ "loss": 0.6318,
2440
+ "step": 3100
2441
+ },
2442
+ {
2443
+ "epoch": 0.3744281242475319,
2444
+ "grad_norm": 3.859375,
2445
+ "learning_rate": 9.906631252340578e-05,
2446
+ "loss": 0.541,
2447
+ "step": 3110
2448
+ },
2449
+ {
2450
+ "epoch": 0.37563207320009634,
2451
+ "grad_norm": 5.40625,
2452
+ "learning_rate": 9.904945203488554e-05,
2453
+ "loss": 0.5854,
2454
+ "step": 3120
2455
+ },
2456
+ {
2457
+ "epoch": 0.3768360221526607,
2458
+ "grad_norm": 5.6875,
2459
+ "learning_rate": 9.903244213322802e-05,
2460
+ "loss": 0.6657,
2461
+ "step": 3130
2462
+ },
2463
+ {
2464
+ "epoch": 0.37803997110522514,
2465
+ "grad_norm": 5.78125,
2466
+ "learning_rate": 9.901528287024833e-05,
2467
+ "loss": 0.5835,
2468
+ "step": 3140
2469
+ },
2470
+ {
2471
+ "epoch": 0.37924392005778956,
2472
+ "grad_norm": 4.875,
2473
+ "learning_rate": 9.899797429821656e-05,
2474
+ "loss": 0.6369,
2475
+ "step": 3150
2476
+ },
2477
+ {
2478
+ "epoch": 0.38044786901035393,
2479
+ "grad_norm": 5.84375,
2480
+ "learning_rate": 9.898051646985762e-05,
2481
+ "loss": 0.5991,
2482
+ "step": 3160
2483
+ },
2484
+ {
2485
+ "epoch": 0.38165181796291836,
2486
+ "grad_norm": 5.3125,
2487
+ "learning_rate": 9.896290943835109e-05,
2488
+ "loss": 0.5792,
2489
+ "step": 3170
2490
+ },
2491
+ {
2492
+ "epoch": 0.3828557669154828,
2493
+ "grad_norm": 4.34375,
2494
+ "learning_rate": 9.894515325733103e-05,
2495
+ "loss": 0.635,
2496
+ "step": 3180
2497
+ },
2498
+ {
2499
+ "epoch": 0.3840597158680472,
2500
+ "grad_norm": 3.859375,
2501
+ "learning_rate": 9.892724798088586e-05,
2502
+ "loss": 0.7034,
2503
+ "step": 3190
2504
+ },
2505
+ {
2506
+ "epoch": 0.3852636648206116,
2507
+ "grad_norm": 5.03125,
2508
+ "learning_rate": 9.890919366355816e-05,
2509
+ "loss": 0.658,
2510
+ "step": 3200
2511
+ },
2512
+ {
2513
+ "epoch": 0.386467613773176,
2514
+ "grad_norm": 5.1875,
2515
+ "learning_rate": 9.889099036034451e-05,
2516
+ "loss": 0.5952,
2517
+ "step": 3210
2518
+ },
2519
+ {
2520
+ "epoch": 0.38767156272574044,
2521
+ "grad_norm": 5.46875,
2522
+ "learning_rate": 9.88726381266953e-05,
2523
+ "loss": 0.6666,
2524
+ "step": 3220
2525
+ },
2526
+ {
2527
+ "epoch": 0.38887551167830486,
2528
+ "grad_norm": 5.5,
2529
+ "learning_rate": 9.885413701851464e-05,
2530
+ "loss": 0.7236,
2531
+ "step": 3230
2532
+ },
2533
+ {
2534
+ "epoch": 0.39007946063086923,
2535
+ "grad_norm": 5.4375,
2536
+ "learning_rate": 9.883548709216013e-05,
2537
+ "loss": 0.6152,
2538
+ "step": 3240
2539
+ },
2540
+ {
2541
+ "epoch": 0.39128340958343366,
2542
+ "grad_norm": 5.71875,
2543
+ "learning_rate": 9.881668840444265e-05,
2544
+ "loss": 0.6167,
2545
+ "step": 3250
2546
+ },
2547
+ {
2548
+ "epoch": 0.3924873585359981,
2549
+ "grad_norm": 4.46875,
2550
+ "learning_rate": 9.879774101262627e-05,
2551
+ "loss": 0.5904,
2552
+ "step": 3260
2553
+ },
2554
+ {
2555
+ "epoch": 0.39369130748856246,
2556
+ "grad_norm": 4.0,
2557
+ "learning_rate": 9.877864497442804e-05,
2558
+ "loss": 0.5288,
2559
+ "step": 3270
2560
+ },
2561
+ {
2562
+ "epoch": 0.3948952564411269,
2563
+ "grad_norm": 5.25,
2564
+ "learning_rate": 9.87594003480178e-05,
2565
+ "loss": 0.6141,
2566
+ "step": 3280
2567
+ },
2568
+ {
2569
+ "epoch": 0.3960992053936913,
2570
+ "grad_norm": 6.0625,
2571
+ "learning_rate": 9.874000719201804e-05,
2572
+ "loss": 0.7486,
2573
+ "step": 3290
2574
+ },
2575
+ {
2576
+ "epoch": 0.39730315434625574,
2577
+ "grad_norm": 5.1875,
2578
+ "learning_rate": 9.872046556550363e-05,
2579
+ "loss": 0.6557,
2580
+ "step": 3300
2581
+ },
2582
+ {
2583
+ "epoch": 0.3985071032988201,
2584
+ "grad_norm": 5.25,
2585
+ "learning_rate": 9.870077552800179e-05,
2586
+ "loss": 0.6125,
2587
+ "step": 3310
2588
+ },
2589
+ {
2590
+ "epoch": 0.39971105225138454,
2591
+ "grad_norm": 5.0625,
2592
+ "learning_rate": 9.868093713949178e-05,
2593
+ "loss": 0.5268,
2594
+ "step": 3320
2595
+ },
2596
+ {
2597
+ "epoch": 0.40091500120394896,
2598
+ "grad_norm": 4.96875,
2599
+ "learning_rate": 9.866095046040478e-05,
2600
+ "loss": 0.6483,
2601
+ "step": 3330
2602
+ },
2603
+ {
2604
+ "epoch": 0.4021189501565134,
2605
+ "grad_norm": 4.90625,
2606
+ "learning_rate": 9.864081555162366e-05,
2607
+ "loss": 0.7377,
2608
+ "step": 3340
2609
+ },
2610
+ {
2611
+ "epoch": 0.40332289910907776,
2612
+ "grad_norm": 5.34375,
2613
+ "learning_rate": 9.862053247448286e-05,
2614
+ "loss": 0.5641,
2615
+ "step": 3350
2616
+ },
2617
+ {
2618
+ "epoch": 0.4045268480616422,
2619
+ "grad_norm": 4.5625,
2620
+ "learning_rate": 9.860010129076813e-05,
2621
+ "loss": 0.6322,
2622
+ "step": 3360
2623
+ },
2624
+ {
2625
+ "epoch": 0.4057307970142066,
2626
+ "grad_norm": 5.25,
2627
+ "learning_rate": 9.857952206271643e-05,
2628
+ "loss": 0.614,
2629
+ "step": 3370
2630
+ },
2631
+ {
2632
+ "epoch": 0.406934745966771,
2633
+ "grad_norm": 5.3125,
2634
+ "learning_rate": 9.855879485301564e-05,
2635
+ "loss": 0.5311,
2636
+ "step": 3380
2637
+ },
2638
+ {
2639
+ "epoch": 0.4081386949193354,
2640
+ "grad_norm": 4.46875,
2641
+ "learning_rate": 9.853791972480445e-05,
2642
+ "loss": 0.6266,
2643
+ "step": 3390
2644
+ },
2645
+ {
2646
+ "epoch": 0.40934264387189984,
2647
+ "grad_norm": 5.40625,
2648
+ "learning_rate": 9.85168967416721e-05,
2649
+ "loss": 0.5445,
2650
+ "step": 3400
2651
+ },
2652
+ {
2653
+ "epoch": 0.41054659282446426,
2654
+ "grad_norm": 5.1875,
2655
+ "learning_rate": 9.849572596765826e-05,
2656
+ "loss": 0.6219,
2657
+ "step": 3410
2658
+ },
2659
+ {
2660
+ "epoch": 0.41175054177702863,
2661
+ "grad_norm": 6.0,
2662
+ "learning_rate": 9.847440746725275e-05,
2663
+ "loss": 0.6091,
2664
+ "step": 3420
2665
+ },
2666
+ {
2667
+ "epoch": 0.41295449072959306,
2668
+ "grad_norm": 6.03125,
2669
+ "learning_rate": 9.845294130539546e-05,
2670
+ "loss": 0.5503,
2671
+ "step": 3430
2672
+ },
2673
+ {
2674
+ "epoch": 0.4141584396821575,
2675
+ "grad_norm": 3.953125,
2676
+ "learning_rate": 9.8431327547476e-05,
2677
+ "loss": 0.5049,
2678
+ "step": 3440
2679
+ },
2680
+ {
2681
+ "epoch": 0.4153623886347219,
2682
+ "grad_norm": 4.40625,
2683
+ "learning_rate": 9.840956625933367e-05,
2684
+ "loss": 0.6165,
2685
+ "step": 3450
2686
+ },
2687
+ {
2688
+ "epoch": 0.4165663375872863,
2689
+ "grad_norm": 5.78125,
2690
+ "learning_rate": 9.838765750725709e-05,
2691
+ "loss": 0.6076,
2692
+ "step": 3460
2693
+ },
2694
+ {
2695
+ "epoch": 0.4177702865398507,
2696
+ "grad_norm": 5.9375,
2697
+ "learning_rate": 9.836560135798415e-05,
2698
+ "loss": 0.6464,
2699
+ "step": 3470
2700
+ },
2701
+ {
2702
+ "epoch": 0.41897423549241514,
2703
+ "grad_norm": 4.53125,
2704
+ "learning_rate": 9.834339787870166e-05,
2705
+ "loss": 0.5661,
2706
+ "step": 3480
2707
+ },
2708
+ {
2709
+ "epoch": 0.4201781844449795,
2710
+ "grad_norm": 4.25,
2711
+ "learning_rate": 9.832104713704531e-05,
2712
+ "loss": 0.5922,
2713
+ "step": 3490
2714
+ },
2715
+ {
2716
+ "epoch": 0.42138213339754393,
2717
+ "grad_norm": 4.40625,
2718
+ "learning_rate": 9.829854920109934e-05,
2719
+ "loss": 0.5543,
2720
+ "step": 3500
2721
+ },
2722
+ {
2723
+ "epoch": 0.42258608235010836,
2724
+ "grad_norm": 5.78125,
2725
+ "learning_rate": 9.827590413939632e-05,
2726
+ "loss": 0.5931,
2727
+ "step": 3510
2728
+ },
2729
+ {
2730
+ "epoch": 0.4237900313026728,
2731
+ "grad_norm": 5.375,
2732
+ "learning_rate": 9.825311202091707e-05,
2733
+ "loss": 0.7203,
2734
+ "step": 3520
2735
+ },
2736
+ {
2737
+ "epoch": 0.42499398025523716,
2738
+ "grad_norm": 5.96875,
2739
+ "learning_rate": 9.823017291509034e-05,
2740
+ "loss": 0.6172,
2741
+ "step": 3530
2742
+ },
2743
+ {
2744
+ "epoch": 0.4261979292078016,
2745
+ "grad_norm": 5.71875,
2746
+ "learning_rate": 9.820708689179259e-05,
2747
+ "loss": 0.5939,
2748
+ "step": 3540
2749
+ },
2750
+ {
2751
+ "epoch": 0.427401878160366,
2752
+ "grad_norm": 5.71875,
2753
+ "learning_rate": 9.818385402134788e-05,
2754
+ "loss": 0.5387,
2755
+ "step": 3550
2756
+ },
2757
+ {
2758
+ "epoch": 0.42860582711293044,
2759
+ "grad_norm": 4.75,
2760
+ "learning_rate": 9.816047437452757e-05,
2761
+ "loss": 0.6173,
2762
+ "step": 3560
2763
+ },
2764
+ {
2765
+ "epoch": 0.4298097760654948,
2766
+ "grad_norm": 6.1875,
2767
+ "learning_rate": 9.81369480225501e-05,
2768
+ "loss": 0.5851,
2769
+ "step": 3570
2770
+ },
2771
+ {
2772
+ "epoch": 0.43101372501805923,
2773
+ "grad_norm": 5.71875,
2774
+ "learning_rate": 9.811327503708081e-05,
2775
+ "loss": 0.5655,
2776
+ "step": 3580
2777
+ },
2778
+ {
2779
+ "epoch": 0.43221767397062366,
2780
+ "grad_norm": 5.09375,
2781
+ "learning_rate": 9.808945549023174e-05,
2782
+ "loss": 0.5661,
2783
+ "step": 3590
2784
+ },
2785
+ {
2786
+ "epoch": 0.43342162292318803,
2787
+ "grad_norm": 4.84375,
2788
+ "learning_rate": 9.806548945456134e-05,
2789
+ "loss": 0.7306,
2790
+ "step": 3600
2791
+ },
2792
+ {
2793
+ "epoch": 0.43462557187575246,
2794
+ "grad_norm": 3.953125,
2795
+ "learning_rate": 9.804137700307434e-05,
2796
+ "loss": 0.5806,
2797
+ "step": 3610
2798
+ },
2799
+ {
2800
+ "epoch": 0.4358295208283169,
2801
+ "grad_norm": 3.765625,
2802
+ "learning_rate": 9.801711820922142e-05,
2803
+ "loss": 0.6206,
2804
+ "step": 3620
2805
+ },
2806
+ {
2807
+ "epoch": 0.4370334697808813,
2808
+ "grad_norm": 5.75,
2809
+ "learning_rate": 9.799271314689908e-05,
2810
+ "loss": 0.6145,
2811
+ "step": 3630
2812
+ },
2813
+ {
2814
+ "epoch": 0.4382374187334457,
2815
+ "grad_norm": 4.21875,
2816
+ "learning_rate": 9.796816189044939e-05,
2817
+ "loss": 0.5976,
2818
+ "step": 3640
2819
+ },
2820
+ {
2821
+ "epoch": 0.4394413676860101,
2822
+ "grad_norm": 4.46875,
2823
+ "learning_rate": 9.794346451465972e-05,
2824
+ "loss": 0.7035,
2825
+ "step": 3650
2826
+ },
2827
+ {
2828
+ "epoch": 0.44064531663857454,
2829
+ "grad_norm": 5.96875,
2830
+ "learning_rate": 9.791862109476257e-05,
2831
+ "loss": 0.5378,
2832
+ "step": 3660
2833
+ },
2834
+ {
2835
+ "epoch": 0.44184926559113896,
2836
+ "grad_norm": 4.90625,
2837
+ "learning_rate": 9.789363170643528e-05,
2838
+ "loss": 0.5624,
2839
+ "step": 3670
2840
+ },
2841
+ {
2842
+ "epoch": 0.44305321454370333,
2843
+ "grad_norm": 4.75,
2844
+ "learning_rate": 9.786849642579989e-05,
2845
+ "loss": 0.613,
2846
+ "step": 3680
2847
+ },
2848
+ {
2849
+ "epoch": 0.44425716349626776,
2850
+ "grad_norm": 5.5625,
2851
+ "learning_rate": 9.784321532942282e-05,
2852
+ "loss": 0.5219,
2853
+ "step": 3690
2854
+ },
2855
+ {
2856
+ "epoch": 0.4454611124488322,
2857
+ "grad_norm": 4.34375,
2858
+ "learning_rate": 9.781778849431464e-05,
2859
+ "loss": 0.6854,
2860
+ "step": 3700
2861
+ },
2862
+ {
2863
+ "epoch": 0.44666506140139656,
2864
+ "grad_norm": 6.40625,
2865
+ "learning_rate": 9.779221599792995e-05,
2866
+ "loss": 0.5974,
2867
+ "step": 3710
2868
+ },
2869
+ {
2870
+ "epoch": 0.447869010353961,
2871
+ "grad_norm": 5.96875,
2872
+ "learning_rate": 9.776649791816698e-05,
2873
+ "loss": 0.6709,
2874
+ "step": 3720
2875
+ },
2876
+ {
2877
+ "epoch": 0.4490729593065254,
2878
+ "grad_norm": 5.25,
2879
+ "learning_rate": 9.774063433336746e-05,
2880
+ "loss": 0.6575,
2881
+ "step": 3730
2882
+ },
2883
+ {
2884
+ "epoch": 0.45027690825908984,
2885
+ "grad_norm": 4.3125,
2886
+ "learning_rate": 9.771462532231635e-05,
2887
+ "loss": 0.5585,
2888
+ "step": 3740
2889
+ },
2890
+ {
2891
+ "epoch": 0.4514808572116542,
2892
+ "grad_norm": 4.34375,
2893
+ "learning_rate": 9.768847096424164e-05,
2894
+ "loss": 0.5921,
2895
+ "step": 3750
2896
+ },
2897
+ {
2898
+ "epoch": 0.45268480616421863,
2899
+ "grad_norm": 4.96875,
2900
+ "learning_rate": 9.7662171338814e-05,
2901
+ "loss": 0.5416,
2902
+ "step": 3760
2903
+ },
2904
+ {
2905
+ "epoch": 0.45388875511678306,
2906
+ "grad_norm": 6.46875,
2907
+ "learning_rate": 9.763572652614668e-05,
2908
+ "loss": 0.5491,
2909
+ "step": 3770
2910
+ },
2911
+ {
2912
+ "epoch": 0.4550927040693475,
2913
+ "grad_norm": 4.15625,
2914
+ "learning_rate": 9.760913660679515e-05,
2915
+ "loss": 0.5819,
2916
+ "step": 3780
2917
+ },
2918
+ {
2919
+ "epoch": 0.45629665302191186,
2920
+ "grad_norm": 5.75,
2921
+ "learning_rate": 9.758240166175692e-05,
2922
+ "loss": 0.6891,
2923
+ "step": 3790
2924
+ },
2925
+ {
2926
+ "epoch": 0.4575006019744763,
2927
+ "grad_norm": 5.28125,
2928
+ "learning_rate": 9.755552177247127e-05,
2929
+ "loss": 0.631,
2930
+ "step": 3800
2931
+ },
2932
+ {
2933
+ "epoch": 0.4587045509270407,
2934
+ "grad_norm": 5.25,
2935
+ "learning_rate": 9.752849702081901e-05,
2936
+ "loss": 0.5935,
2937
+ "step": 3810
2938
+ },
2939
+ {
2940
+ "epoch": 0.4599084998796051,
2941
+ "grad_norm": 4.3125,
2942
+ "learning_rate": 9.750132748912219e-05,
2943
+ "loss": 0.5239,
2944
+ "step": 3820
2945
+ },
2946
+ {
2947
+ "epoch": 0.4611124488321695,
2948
+ "grad_norm": 5.90625,
2949
+ "learning_rate": 9.747401326014395e-05,
2950
+ "loss": 0.6117,
2951
+ "step": 3830
2952
+ },
2953
+ {
2954
+ "epoch": 0.46231639778473393,
2955
+ "grad_norm": 5.84375,
2956
+ "learning_rate": 9.744655441708818e-05,
2957
+ "loss": 0.5105,
2958
+ "step": 3840
2959
+ },
2960
+ {
2961
+ "epoch": 0.46352034673729836,
2962
+ "grad_norm": 5.96875,
2963
+ "learning_rate": 9.741895104359924e-05,
2964
+ "loss": 0.5531,
2965
+ "step": 3850
2966
+ },
2967
+ {
2968
+ "epoch": 0.46472429568986273,
2969
+ "grad_norm": 4.9375,
2970
+ "learning_rate": 9.739120322376181e-05,
2971
+ "loss": 0.5423,
2972
+ "step": 3860
2973
+ },
2974
+ {
2975
+ "epoch": 0.46592824464242716,
2976
+ "grad_norm": 4.65625,
2977
+ "learning_rate": 9.736331104210056e-05,
2978
+ "loss": 0.6987,
2979
+ "step": 3870
2980
+ },
2981
+ {
2982
+ "epoch": 0.4671321935949916,
2983
+ "grad_norm": 5.0625,
2984
+ "learning_rate": 9.733527458357992e-05,
2985
+ "loss": 0.6308,
2986
+ "step": 3880
2987
+ },
2988
+ {
2989
+ "epoch": 0.468336142547556,
2990
+ "grad_norm": 4.1875,
2991
+ "learning_rate": 9.730709393360378e-05,
2992
+ "loss": 0.6365,
2993
+ "step": 3890
2994
+ },
2995
+ {
2996
+ "epoch": 0.4695400915001204,
2997
+ "grad_norm": 5.125,
2998
+ "learning_rate": 9.72787691780153e-05,
2999
+ "loss": 0.6731,
3000
+ "step": 3900
3001
+ },
3002
+ {
3003
+ "epoch": 0.4707440404526848,
3004
+ "grad_norm": 4.4375,
3005
+ "learning_rate": 9.725030040309662e-05,
3006
+ "loss": 0.589,
3007
+ "step": 3910
3008
+ },
3009
+ {
3010
+ "epoch": 0.47194798940524924,
3011
+ "grad_norm": 4.0625,
3012
+ "learning_rate": 9.722168769556854e-05,
3013
+ "loss": 0.5825,
3014
+ "step": 3920
3015
+ },
3016
+ {
3017
+ "epoch": 0.4731519383578136,
3018
+ "grad_norm": 6.0,
3019
+ "learning_rate": 9.719293114259033e-05,
3020
+ "loss": 0.5556,
3021
+ "step": 3930
3022
+ },
3023
+ {
3024
+ "epoch": 0.47435588731037803,
3025
+ "grad_norm": 6.4375,
3026
+ "learning_rate": 9.716403083175946e-05,
3027
+ "loss": 0.6386,
3028
+ "step": 3940
3029
+ },
3030
+ {
3031
+ "epoch": 0.47555983626294246,
3032
+ "grad_norm": 6.34375,
3033
+ "learning_rate": 9.713498685111128e-05,
3034
+ "loss": 0.6426,
3035
+ "step": 3950
3036
+ },
3037
+ {
3038
+ "epoch": 0.4767637852155069,
3039
+ "grad_norm": 4.3125,
3040
+ "learning_rate": 9.710579928911876e-05,
3041
+ "loss": 0.5251,
3042
+ "step": 3960
3043
+ },
3044
+ {
3045
+ "epoch": 0.47796773416807126,
3046
+ "grad_norm": 5.46875,
3047
+ "learning_rate": 9.707646823469232e-05,
3048
+ "loss": 0.5381,
3049
+ "step": 3970
3050
+ },
3051
+ {
3052
+ "epoch": 0.4791716831206357,
3053
+ "grad_norm": 5.5625,
3054
+ "learning_rate": 9.704699377717941e-05,
3055
+ "loss": 0.6042,
3056
+ "step": 3980
3057
+ },
3058
+ {
3059
+ "epoch": 0.4803756320732001,
3060
+ "grad_norm": 5.6875,
3061
+ "learning_rate": 9.701737600636436e-05,
3062
+ "loss": 0.5149,
3063
+ "step": 3990
3064
+ },
3065
+ {
3066
+ "epoch": 0.4815795810257645,
3067
+ "grad_norm": 4.5625,
3068
+ "learning_rate": 9.698761501246801e-05,
3069
+ "loss": 0.4981,
3070
+ "step": 4000
3071
+ },
3072
+ {
3073
+ "epoch": 0.4815795810257645,
3074
+ "eval/nano_beir.arguana": 0.4533164648115519,
3075
+ "step": 4000
3076
+ },
3077
+ {
3078
+ "epoch": 0.4815795810257645,
3079
+ "eval/nano_beir.climate_fever": 0.2415330766300153,
3080
+ "step": 4000
3081
+ },
3082
+ {
3083
+ "epoch": 0.4815795810257645,
3084
+ "eval/nano_beir.dbpedia_entity": 0.3267307232969415,
3085
+ "step": 4000
3086
+ },
3087
+ {
3088
+ "epoch": 0.4815795810257645,
3089
+ "eval/nano_beir.fever": 0.6627993781769471,
3090
+ "step": 4000
3091
+ },
3092
+ {
3093
+ "epoch": 0.4815795810257645,
3094
+ "eval/nano_beir.fiqa": 0.44257400247946427,
3095
+ "step": 4000
3096
+ },
3097
+ {
3098
+ "epoch": 0.4815795810257645,
3099
+ "eval/nano_beir.hotpotqa": 0.6918069318835383,
3100
+ "step": 4000
3101
+ },
3102
+ {
3103
+ "epoch": 0.4815795810257645,
3104
+ "eval/nano_beir.nfcorpus": 0.34324706059190796,
3105
+ "step": 4000
3106
+ },
3107
+ {
3108
+ "epoch": 0.4815795810257645,
3109
+ "eval/nano_beir.nq": 0.43319148909889377,
3110
+ "step": 4000
3111
+ },
3112
+ {
3113
+ "epoch": 0.4815795810257645,
3114
+ "eval/nano_beir.quora": 0.8358698300981718,
3115
+ "step": 4000
3116
+ },
3117
+ {
3118
+ "epoch": 0.4815795810257645,
3119
+ "eval/nano_beir.scidocs": 0.25506900118184184,
3120
+ "step": 4000
3121
+ },
3122
+ {
3123
+ "epoch": 0.4815795810257645,
3124
+ "eval/nano_beir.scifact": 0.7542598352338724,
3125
+ "step": 4000
3126
+ },
3127
+ {
3128
+ "epoch": 0.4815795810257645,
3129
+ "eval/nano_beir.webis_touche2020": 0.2901138539973763,
3130
+ "step": 4000
3131
+ },
3132
+ {
3133
+ "epoch": 0.4815795810257645,
3134
+ "eval/avg": 0.47754263729004354,
3135
+ "step": 4000
3136
+ },
3137
+ {
3138
+ "epoch": 0.4827835299783289,
3139
+ "grad_norm": 5.0,
3140
+ "learning_rate": 9.695771088614753e-05,
3141
+ "loss": 0.6134,
3142
+ "step": 4010
3143
+ },
3144
+ {
3145
+ "epoch": 0.48398747893089333,
3146
+ "grad_norm": 4.40625,
3147
+ "learning_rate": 9.692766371849606e-05,
3148
+ "loss": 0.5217,
3149
+ "step": 4020
3150
+ },
3151
+ {
3152
+ "epoch": 0.48519142788345776,
3153
+ "grad_norm": 4.875,
3154
+ "learning_rate": 9.689747360104252e-05,
3155
+ "loss": 0.6753,
3156
+ "step": 4030
3157
+ },
3158
+ {
3159
+ "epoch": 0.48639537683602213,
3160
+ "grad_norm": 4.53125,
3161
+ "learning_rate": 9.686714062575118e-05,
3162
+ "loss": 0.5712,
3163
+ "step": 4040
3164
+ },
3165
+ {
3166
+ "epoch": 0.48759932578858656,
3167
+ "grad_norm": 4.75,
3168
+ "learning_rate": 9.683666488502158e-05,
3169
+ "loss": 0.5574,
3170
+ "step": 4050
3171
+ },
3172
+ {
3173
+ "epoch": 0.488803274741151,
3174
+ "grad_norm": 5.125,
3175
+ "learning_rate": 9.680604647168813e-05,
3176
+ "loss": 0.6066,
3177
+ "step": 4060
3178
+ },
3179
+ {
3180
+ "epoch": 0.4900072236937154,
3181
+ "grad_norm": 5.21875,
3182
+ "learning_rate": 9.677528547901981e-05,
3183
+ "loss": 0.5138,
3184
+ "step": 4070
3185
+ },
3186
+ {
3187
+ "epoch": 0.4912111726462798,
3188
+ "grad_norm": 3.671875,
3189
+ "learning_rate": 9.674438200071991e-05,
3190
+ "loss": 0.5157,
3191
+ "step": 4080
3192
+ },
3193
+ {
3194
+ "epoch": 0.4924151215988442,
3195
+ "grad_norm": 4.84375,
3196
+ "learning_rate": 9.671333613092583e-05,
3197
+ "loss": 0.5865,
3198
+ "step": 4090
3199
+ },
3200
+ {
3201
+ "epoch": 0.49361907055140863,
3202
+ "grad_norm": 6.4375,
3203
+ "learning_rate": 9.668214796420866e-05,
3204
+ "loss": 0.5833,
3205
+ "step": 4100
3206
+ },
3207
+ {
3208
+ "epoch": 0.494823019503973,
3209
+ "grad_norm": 6.09375,
3210
+ "learning_rate": 9.665081759557295e-05,
3211
+ "loss": 0.5759,
3212
+ "step": 4110
3213
+ },
3214
+ {
3215
+ "epoch": 0.49602696845653743,
3216
+ "grad_norm": 5.8125,
3217
+ "learning_rate": 9.661934512045644e-05,
3218
+ "loss": 0.5217,
3219
+ "step": 4120
3220
+ },
3221
+ {
3222
+ "epoch": 0.49723091740910186,
3223
+ "grad_norm": 6.0625,
3224
+ "learning_rate": 9.658773063472975e-05,
3225
+ "loss": 0.6464,
3226
+ "step": 4130
3227
+ },
3228
+ {
3229
+ "epoch": 0.4984348663616663,
3230
+ "grad_norm": 5.09375,
3231
+ "learning_rate": 9.655597423469609e-05,
3232
+ "loss": 0.5918,
3233
+ "step": 4140
3234
+ },
3235
+ {
3236
+ "epoch": 0.49963881531423066,
3237
+ "grad_norm": 5.5625,
3238
+ "learning_rate": 9.652407601709096e-05,
3239
+ "loss": 0.5892,
3240
+ "step": 4150
3241
+ },
3242
+ {
3243
+ "epoch": 0.5008427642667951,
3244
+ "grad_norm": 6.0625,
3245
+ "learning_rate": 9.649203607908187e-05,
3246
+ "loss": 0.6439,
3247
+ "step": 4160
3248
+ },
3249
+ {
3250
+ "epoch": 0.5020467132193595,
3251
+ "grad_norm": 5.09375,
3252
+ "learning_rate": 9.645985451826803e-05,
3253
+ "loss": 0.5668,
3254
+ "step": 4170
3255
+ },
3256
+ {
3257
+ "epoch": 0.5032506621719239,
3258
+ "grad_norm": 5.28125,
3259
+ "learning_rate": 9.642753143268002e-05,
3260
+ "loss": 0.6326,
3261
+ "step": 4180
3262
+ },
3263
+ {
3264
+ "epoch": 0.5044546111244883,
3265
+ "grad_norm": 5.28125,
3266
+ "learning_rate": 9.63950669207796e-05,
3267
+ "loss": 0.561,
3268
+ "step": 4190
3269
+ },
3270
+ {
3271
+ "epoch": 0.5056585600770528,
3272
+ "grad_norm": 6.4375,
3273
+ "learning_rate": 9.636246108145929e-05,
3274
+ "loss": 0.6184,
3275
+ "step": 4200
3276
+ },
3277
+ {
3278
+ "epoch": 0.5068625090296172,
3279
+ "grad_norm": 5.09375,
3280
+ "learning_rate": 9.632971401404214e-05,
3281
+ "loss": 0.5612,
3282
+ "step": 4210
3283
+ },
3284
+ {
3285
+ "epoch": 0.5080664579821815,
3286
+ "grad_norm": 6.21875,
3287
+ "learning_rate": 9.62968258182814e-05,
3288
+ "loss": 0.6528,
3289
+ "step": 4220
3290
+ },
3291
+ {
3292
+ "epoch": 0.509270406934746,
3293
+ "grad_norm": 5.53125,
3294
+ "learning_rate": 9.626379659436017e-05,
3295
+ "loss": 0.6768,
3296
+ "step": 4230
3297
+ },
3298
+ {
3299
+ "epoch": 0.5104743558873104,
3300
+ "grad_norm": 3.75,
3301
+ "learning_rate": 9.623062644289127e-05,
3302
+ "loss": 0.5089,
3303
+ "step": 4240
3304
+ },
3305
+ {
3306
+ "epoch": 0.5116783048398748,
3307
+ "grad_norm": 6.1875,
3308
+ "learning_rate": 9.61973154649167e-05,
3309
+ "loss": 0.5932,
3310
+ "step": 4250
3311
+ },
3312
+ {
3313
+ "epoch": 0.5128822537924392,
3314
+ "grad_norm": 5.28125,
3315
+ "learning_rate": 9.616386376190745e-05,
3316
+ "loss": 0.6448,
3317
+ "step": 4260
3318
+ },
3319
+ {
3320
+ "epoch": 0.5140862027450036,
3321
+ "grad_norm": 5.75,
3322
+ "learning_rate": 9.613027143576325e-05,
3323
+ "loss": 0.5775,
3324
+ "step": 4270
3325
+ },
3326
+ {
3327
+ "epoch": 0.515290151697568,
3328
+ "grad_norm": 3.625,
3329
+ "learning_rate": 9.609653858881211e-05,
3330
+ "loss": 0.5966,
3331
+ "step": 4280
3332
+ },
3333
+ {
3334
+ "epoch": 0.5164941006501325,
3335
+ "grad_norm": 5.28125,
3336
+ "learning_rate": 9.606266532381018e-05,
3337
+ "loss": 0.5776,
3338
+ "step": 4290
3339
+ },
3340
+ {
3341
+ "epoch": 0.5176980496026968,
3342
+ "grad_norm": 5.875,
3343
+ "learning_rate": 9.602865174394127e-05,
3344
+ "loss": 0.5759,
3345
+ "step": 4300
3346
+ },
3347
+ {
3348
+ "epoch": 0.5189019985552613,
3349
+ "grad_norm": 4.5625,
3350
+ "learning_rate": 9.599449795281662e-05,
3351
+ "loss": 0.6263,
3352
+ "step": 4310
3353
+ },
3354
+ {
3355
+ "epoch": 0.5201059475078257,
3356
+ "grad_norm": 4.34375,
3357
+ "learning_rate": 9.596020405447466e-05,
3358
+ "loss": 0.578,
3359
+ "step": 4320
3360
+ },
3361
+ {
3362
+ "epoch": 0.52130989646039,
3363
+ "grad_norm": 5.71875,
3364
+ "learning_rate": 9.592577015338051e-05,
3365
+ "loss": 0.5554,
3366
+ "step": 4330
3367
+ },
3368
+ {
3369
+ "epoch": 0.5225138454129545,
3370
+ "grad_norm": 5.78125,
3371
+ "learning_rate": 9.589119635442582e-05,
3372
+ "loss": 0.6189,
3373
+ "step": 4340
3374
+ },
3375
+ {
3376
+ "epoch": 0.5237177943655189,
3377
+ "grad_norm": 4.4375,
3378
+ "learning_rate": 9.585648276292836e-05,
3379
+ "loss": 0.6218,
3380
+ "step": 4350
3381
+ },
3382
+ {
3383
+ "epoch": 0.5249217433180833,
3384
+ "grad_norm": 5.25,
3385
+ "learning_rate": 9.582162948463177e-05,
3386
+ "loss": 0.5972,
3387
+ "step": 4360
3388
+ },
3389
+ {
3390
+ "epoch": 0.5261256922706478,
3391
+ "grad_norm": 5.96875,
3392
+ "learning_rate": 9.578663662570518e-05,
3393
+ "loss": 0.6237,
3394
+ "step": 4370
3395
+ },
3396
+ {
3397
+ "epoch": 0.5273296412232121,
3398
+ "grad_norm": 5.03125,
3399
+ "learning_rate": 9.575150429274287e-05,
3400
+ "loss": 0.5754,
3401
+ "step": 4380
3402
+ },
3403
+ {
3404
+ "epoch": 0.5285335901757765,
3405
+ "grad_norm": 3.46875,
3406
+ "learning_rate": 9.571623259276408e-05,
3407
+ "loss": 0.5525,
3408
+ "step": 4390
3409
+ },
3410
+ {
3411
+ "epoch": 0.529737539128341,
3412
+ "grad_norm": 3.84375,
3413
+ "learning_rate": 9.568082163321247e-05,
3414
+ "loss": 0.5924,
3415
+ "step": 4400
3416
+ },
3417
+ {
3418
+ "epoch": 0.5309414880809054,
3419
+ "grad_norm": 4.1875,
3420
+ "learning_rate": 9.5645271521956e-05,
3421
+ "loss": 0.5747,
3422
+ "step": 4410
3423
+ },
3424
+ {
3425
+ "epoch": 0.5321454370334697,
3426
+ "grad_norm": 5.0625,
3427
+ "learning_rate": 9.560958236728646e-05,
3428
+ "loss": 0.681,
3429
+ "step": 4420
3430
+ },
3431
+ {
3432
+ "epoch": 0.5333493859860342,
3433
+ "grad_norm": 5.03125,
3434
+ "learning_rate": 9.557375427791919e-05,
3435
+ "loss": 0.5728,
3436
+ "step": 4430
3437
+ },
3438
+ {
3439
+ "epoch": 0.5345533349385986,
3440
+ "grad_norm": 4.75,
3441
+ "learning_rate": 9.553778736299279e-05,
3442
+ "loss": 0.5402,
3443
+ "step": 4440
3444
+ },
3445
+ {
3446
+ "epoch": 0.5357572838911631,
3447
+ "grad_norm": 5.375,
3448
+ "learning_rate": 9.550168173206873e-05,
3449
+ "loss": 0.6011,
3450
+ "step": 4450
3451
+ },
3452
+ {
3453
+ "epoch": 0.5369612328437274,
3454
+ "grad_norm": 4.84375,
3455
+ "learning_rate": 9.546543749513096e-05,
3456
+ "loss": 0.6079,
3457
+ "step": 4460
3458
+ },
3459
+ {
3460
+ "epoch": 0.5381651817962918,
3461
+ "grad_norm": 4.375,
3462
+ "learning_rate": 9.54290547625858e-05,
3463
+ "loss": 0.6335,
3464
+ "step": 4470
3465
+ },
3466
+ {
3467
+ "epoch": 0.5393691307488563,
3468
+ "grad_norm": 4.5625,
3469
+ "learning_rate": 9.539253364526128e-05,
3470
+ "loss": 0.6007,
3471
+ "step": 4480
3472
+ },
3473
+ {
3474
+ "epoch": 0.5405730797014207,
3475
+ "grad_norm": 4.40625,
3476
+ "learning_rate": 9.535587425440712e-05,
3477
+ "loss": 0.5092,
3478
+ "step": 4490
3479
+ },
3480
+ {
3481
+ "epoch": 0.541777028653985,
3482
+ "grad_norm": 3.671875,
3483
+ "learning_rate": 9.531907670169415e-05,
3484
+ "loss": 0.5609,
3485
+ "step": 4500
3486
+ },
3487
+ {
3488
+ "epoch": 0.5429809776065495,
3489
+ "grad_norm": 5.3125,
3490
+ "learning_rate": 9.52821410992141e-05,
3491
+ "loss": 0.5731,
3492
+ "step": 4510
3493
+ },
3494
+ {
3495
+ "epoch": 0.5441849265591139,
3496
+ "grad_norm": 5.6875,
3497
+ "learning_rate": 9.524506755947921e-05,
3498
+ "loss": 0.6179,
3499
+ "step": 4520
3500
+ },
3501
+ {
3502
+ "epoch": 0.5453888755116783,
3503
+ "grad_norm": 3.640625,
3504
+ "learning_rate": 9.520785619542196e-05,
3505
+ "loss": 0.5156,
3506
+ "step": 4530
3507
+ },
3508
+ {
3509
+ "epoch": 0.5465928244642427,
3510
+ "grad_norm": 5.46875,
3511
+ "learning_rate": 9.517050712039456e-05,
3512
+ "loss": 0.6161,
3513
+ "step": 4540
3514
+ },
3515
+ {
3516
+ "epoch": 0.5477967734168071,
3517
+ "grad_norm": 4.46875,
3518
+ "learning_rate": 9.51330204481688e-05,
3519
+ "loss": 0.5739,
3520
+ "step": 4550
3521
+ },
3522
+ {
3523
+ "epoch": 0.5490007223693716,
3524
+ "grad_norm": 5.3125,
3525
+ "learning_rate": 9.509539629293558e-05,
3526
+ "loss": 0.6028,
3527
+ "step": 4560
3528
+ },
3529
+ {
3530
+ "epoch": 0.550204671321936,
3531
+ "grad_norm": 5.0625,
3532
+ "learning_rate": 9.50576347693046e-05,
3533
+ "loss": 0.6909,
3534
+ "step": 4570
3535
+ },
3536
+ {
3537
+ "epoch": 0.5514086202745003,
3538
+ "grad_norm": 3.703125,
3539
+ "learning_rate": 9.5019735992304e-05,
3540
+ "loss": 0.6186,
3541
+ "step": 4580
3542
+ },
3543
+ {
3544
+ "epoch": 0.5526125692270648,
3545
+ "grad_norm": 4.0625,
3546
+ "learning_rate": 9.498170007738005e-05,
3547
+ "loss": 0.5563,
3548
+ "step": 4590
3549
+ },
3550
+ {
3551
+ "epoch": 0.5538165181796292,
3552
+ "grad_norm": 4.09375,
3553
+ "learning_rate": 9.494352714039674e-05,
3554
+ "loss": 0.535,
3555
+ "step": 4600
3556
+ },
3557
+ {
3558
+ "epoch": 0.5550204671321936,
3559
+ "grad_norm": 4.46875,
3560
+ "learning_rate": 9.490521729763542e-05,
3561
+ "loss": 0.5516,
3562
+ "step": 4610
3563
+ },
3564
+ {
3565
+ "epoch": 0.556224416084758,
3566
+ "grad_norm": 4.40625,
3567
+ "learning_rate": 9.486677066579456e-05,
3568
+ "loss": 0.6259,
3569
+ "step": 4620
3570
+ },
3571
+ {
3572
+ "epoch": 0.5574283650373224,
3573
+ "grad_norm": 4.78125,
3574
+ "learning_rate": 9.482818736198925e-05,
3575
+ "loss": 0.5551,
3576
+ "step": 4630
3577
+ },
3578
+ {
3579
+ "epoch": 0.5586323139898868,
3580
+ "grad_norm": 5.28125,
3581
+ "learning_rate": 9.478946750375092e-05,
3582
+ "loss": 0.6171,
3583
+ "step": 4640
3584
+ },
3585
+ {
3586
+ "epoch": 0.5598362629424513,
3587
+ "grad_norm": 5.40625,
3588
+ "learning_rate": 9.475061120902698e-05,
3589
+ "loss": 0.5887,
3590
+ "step": 4650
3591
+ },
3592
+ {
3593
+ "epoch": 0.5610402118950156,
3594
+ "grad_norm": 5.6875,
3595
+ "learning_rate": 9.471161859618045e-05,
3596
+ "loss": 0.5992,
3597
+ "step": 4660
3598
+ },
3599
+ {
3600
+ "epoch": 0.5622441608475801,
3601
+ "grad_norm": 4.9375,
3602
+ "learning_rate": 9.467248978398957e-05,
3603
+ "loss": 0.61,
3604
+ "step": 4670
3605
+ },
3606
+ {
3607
+ "epoch": 0.5634481098001445,
3608
+ "grad_norm": 5.53125,
3609
+ "learning_rate": 9.46332248916475e-05,
3610
+ "loss": 0.5746,
3611
+ "step": 4680
3612
+ },
3613
+ {
3614
+ "epoch": 0.5646520587527089,
3615
+ "grad_norm": 5.75,
3616
+ "learning_rate": 9.459382403876192e-05,
3617
+ "loss": 0.5999,
3618
+ "step": 4690
3619
+ },
3620
+ {
3621
+ "epoch": 0.5658560077052733,
3622
+ "grad_norm": 6.28125,
3623
+ "learning_rate": 9.455428734535463e-05,
3624
+ "loss": 0.5727,
3625
+ "step": 4700
3626
+ },
3627
+ {
3628
+ "epoch": 0.5670599566578377,
3629
+ "grad_norm": 4.65625,
3630
+ "learning_rate": 9.451461493186129e-05,
3631
+ "loss": 0.6048,
3632
+ "step": 4710
3633
+ },
3634
+ {
3635
+ "epoch": 0.5682639056104021,
3636
+ "grad_norm": 5.125,
3637
+ "learning_rate": 9.447480691913094e-05,
3638
+ "loss": 0.575,
3639
+ "step": 4720
3640
+ },
3641
+ {
3642
+ "epoch": 0.5694678545629666,
3643
+ "grad_norm": 5.25,
3644
+ "learning_rate": 9.443486342842569e-05,
3645
+ "loss": 0.5623,
3646
+ "step": 4730
3647
+ },
3648
+ {
3649
+ "epoch": 0.5706718035155309,
3650
+ "grad_norm": 5.65625,
3651
+ "learning_rate": 9.439478458142033e-05,
3652
+ "loss": 0.6507,
3653
+ "step": 4740
3654
+ },
3655
+ {
3656
+ "epoch": 0.5718757524680953,
3657
+ "grad_norm": 5.53125,
3658
+ "learning_rate": 9.435457050020198e-05,
3659
+ "loss": 0.6093,
3660
+ "step": 4750
3661
+ },
3662
+ {
3663
+ "epoch": 0.5730797014206598,
3664
+ "grad_norm": 5.09375,
3665
+ "learning_rate": 9.431422130726973e-05,
3666
+ "loss": 0.5577,
3667
+ "step": 4760
3668
+ },
3669
+ {
3670
+ "epoch": 0.5742836503732242,
3671
+ "grad_norm": 4.21875,
3672
+ "learning_rate": 9.42737371255342e-05,
3673
+ "loss": 0.6243,
3674
+ "step": 4770
3675
+ },
3676
+ {
3677
+ "epoch": 0.5754875993257886,
3678
+ "grad_norm": 5.625,
3679
+ "learning_rate": 9.423311807831723e-05,
3680
+ "loss": 0.5395,
3681
+ "step": 4780
3682
+ },
3683
+ {
3684
+ "epoch": 0.576691548278353,
3685
+ "grad_norm": 6.03125,
3686
+ "learning_rate": 9.419236428935147e-05,
3687
+ "loss": 0.6082,
3688
+ "step": 4790
3689
+ },
3690
+ {
3691
+ "epoch": 0.5778954972309174,
3692
+ "grad_norm": 7.4375,
3693
+ "learning_rate": 9.415147588278005e-05,
3694
+ "loss": 0.6082,
3695
+ "step": 4800
3696
+ },
3697
+ {
3698
+ "epoch": 0.5790994461834819,
3699
+ "grad_norm": 4.3125,
3700
+ "learning_rate": 9.411045298315614e-05,
3701
+ "loss": 0.6097,
3702
+ "step": 4810
3703
+ },
3704
+ {
3705
+ "epoch": 0.5803033951360462,
3706
+ "grad_norm": 4.78125,
3707
+ "learning_rate": 9.406929571544261e-05,
3708
+ "loss": 0.5135,
3709
+ "step": 4820
3710
+ },
3711
+ {
3712
+ "epoch": 0.5815073440886106,
3713
+ "grad_norm": 4.40625,
3714
+ "learning_rate": 9.402800420501164e-05,
3715
+ "loss": 0.5316,
3716
+ "step": 4830
3717
+ },
3718
+ {
3719
+ "epoch": 0.5827112930411751,
3720
+ "grad_norm": 4.21875,
3721
+ "learning_rate": 9.398657857764431e-05,
3722
+ "loss": 0.5902,
3723
+ "step": 4840
3724
+ },
3725
+ {
3726
+ "epoch": 0.5839152419937395,
3727
+ "grad_norm": 5.25,
3728
+ "learning_rate": 9.394501895953026e-05,
3729
+ "loss": 0.6585,
3730
+ "step": 4850
3731
+ },
3732
+ {
3733
+ "epoch": 0.5851191909463038,
3734
+ "grad_norm": 5.96875,
3735
+ "learning_rate": 9.390332547726733e-05,
3736
+ "loss": 0.6581,
3737
+ "step": 4860
3738
+ },
3739
+ {
3740
+ "epoch": 0.5863231398988683,
3741
+ "grad_norm": 6.53125,
3742
+ "learning_rate": 9.386149825786108e-05,
3743
+ "loss": 0.6056,
3744
+ "step": 4870
3745
+ },
3746
+ {
3747
+ "epoch": 0.5875270888514327,
3748
+ "grad_norm": 4.40625,
3749
+ "learning_rate": 9.381953742872447e-05,
3750
+ "loss": 0.6065,
3751
+ "step": 4880
3752
+ },
3753
+ {
3754
+ "epoch": 0.5887310378039972,
3755
+ "grad_norm": 4.6875,
3756
+ "learning_rate": 9.377744311767746e-05,
3757
+ "loss": 0.5369,
3758
+ "step": 4890
3759
+ },
3760
+ {
3761
+ "epoch": 0.5899349867565615,
3762
+ "grad_norm": 6.4375,
3763
+ "learning_rate": 9.373521545294663e-05,
3764
+ "loss": 0.5646,
3765
+ "step": 4900
3766
+ },
3767
+ {
3768
+ "epoch": 0.5911389357091259,
3769
+ "grad_norm": 4.9375,
3770
+ "learning_rate": 9.369285456316479e-05,
3771
+ "loss": 0.5593,
3772
+ "step": 4910
3773
+ },
3774
+ {
3775
+ "epoch": 0.5923428846616904,
3776
+ "grad_norm": 5.09375,
3777
+ "learning_rate": 9.36503605773705e-05,
3778
+ "loss": 0.6057,
3779
+ "step": 4920
3780
+ },
3781
+ {
3782
+ "epoch": 0.5935468336142548,
3783
+ "grad_norm": 4.40625,
3784
+ "learning_rate": 9.360773362500787e-05,
3785
+ "loss": 0.532,
3786
+ "step": 4930
3787
+ },
3788
+ {
3789
+ "epoch": 0.5947507825668191,
3790
+ "grad_norm": 5.71875,
3791
+ "learning_rate": 9.356497383592596e-05,
3792
+ "loss": 0.5265,
3793
+ "step": 4940
3794
+ },
3795
+ {
3796
+ "epoch": 0.5959547315193836,
3797
+ "grad_norm": 4.75,
3798
+ "learning_rate": 9.352208134037851e-05,
3799
+ "loss": 0.5161,
3800
+ "step": 4950
3801
+ },
3802
+ {
3803
+ "epoch": 0.597158680471948,
3804
+ "grad_norm": 5.90625,
3805
+ "learning_rate": 9.347905626902349e-05,
3806
+ "loss": 0.5466,
3807
+ "step": 4960
3808
+ },
3809
+ {
3810
+ "epoch": 0.5983626294245123,
3811
+ "grad_norm": 4.75,
3812
+ "learning_rate": 9.343589875292274e-05,
3813
+ "loss": 0.5735,
3814
+ "step": 4970
3815
+ },
3816
+ {
3817
+ "epoch": 0.5995665783770768,
3818
+ "grad_norm": 4.34375,
3819
+ "learning_rate": 9.339260892354153e-05,
3820
+ "loss": 0.5381,
3821
+ "step": 4980
3822
+ },
3823
+ {
3824
+ "epoch": 0.6007705273296412,
3825
+ "grad_norm": 5.34375,
3826
+ "learning_rate": 9.334918691274818e-05,
3827
+ "loss": 0.5387,
3828
+ "step": 4990
3829
+ },
3830
+ {
3831
+ "epoch": 0.6019744762822057,
3832
+ "grad_norm": 4.84375,
3833
+ "learning_rate": 9.330563285281371e-05,
3834
+ "loss": 0.5521,
3835
+ "step": 5000
3836
+ }
3837
+ ],
3838
+ "logging_steps": 10,
3839
+ "max_steps": 20000,
3840
+ "num_input_tokens_seen": 0,
3841
+ "num_train_epochs": 3,
3842
+ "save_steps": 5000,
3843
+ "stateful_callbacks": {
3844
+ "TrainerControl": {
3845
+ "args": {
3846
+ "should_epoch_stop": false,
3847
+ "should_evaluate": false,
3848
+ "should_log": false,
3849
+ "should_save": true,
3850
+ "should_training_stop": false
3851
+ },
3852
+ "attributes": {}
3853
+ }
3854
+ },
3855
+ "total_flos": 0.0,
3856
+ "train_batch_size": 16,
3857
+ "trial_name": null,
3858
+ "trial_params": null
3859
+ }
modernbert-crux-researchy-flatten.b64_n512.1e-4/checkpoint-5000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:205393de77a05f484db2377ef40c55556ef0de4b97d04fcaeb594ddb2a92de2c
3
+ size 6033
modernbert-crux-researchy-flatten.b64_n512.1e-4/config.json ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "ModernBertModel"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 50281,
8
+ "classifier_activation": "gelu",
9
+ "classifier_bias": false,
10
+ "classifier_dropout": 0.0,
11
+ "classifier_pooling": "mean",
12
+ "cls_token_id": 50281,
13
+ "decoder_bias": true,
14
+ "deterministic_flash_attn": false,
15
+ "embedding_dropout": 0.0,
16
+ "eos_token_id": 50282,
17
+ "global_attn_every_n_layers": 3,
18
+ "global_rope_theta": 160000.0,
19
+ "gradient_checkpointing": false,
20
+ "hidden_activation": "gelu",
21
+ "hidden_size": 768,
22
+ "initializer_cutoff_factor": 2.0,
23
+ "initializer_range": 0.02,
24
+ "intermediate_size": 1152,
25
+ "layer_norm_eps": 1e-05,
26
+ "local_attention": 128,
27
+ "local_rope_theta": 10000.0,
28
+ "max_position_embeddings": 8192,
29
+ "mlp_bias": false,
30
+ "mlp_dropout": 0.0,
31
+ "model_type": "modernbert",
32
+ "norm_bias": false,
33
+ "norm_eps": 1e-05,
34
+ "num_attention_heads": 12,
35
+ "num_hidden_layers": 22,
36
+ "pad_token_id": 50283,
37
+ "position_embedding_type": "absolute",
38
+ "repad_logits_with_grad": false,
39
+ "sep_token_id": 50282,
40
+ "sparse_pred_ignore_index": -100,
41
+ "sparse_prediction": false,
42
+ "torch_dtype": "bfloat16",
43
+ "transformers_version": "4.53.0",
44
+ "vocab_size": 50368
45
+ }
modernbert-crux-researchy-flatten.b64_n512.1e-4/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2442b3cc24983ddcf31753c8fa56ab2fad6afb650c632ed25b776997797ed613
3
+ size 298041696
modernbert-crux-researchy-flatten.b64_n512.1e-4/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3b67a1ed701ca39e8801c50d2e045472cac648267a09099521a862e0bb963eef
3
+ size 596170443
modernbert-crux-researchy-flatten.b64_n512.1e-4/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:18bb6b6e7da6250d22c25b95c64287be4aea598d9d97ef67b0fd69b9be869ed7
3
+ size 15365
modernbert-crux-researchy-flatten.b64_n512.1e-4/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3cff16289615ba210b601be2162794d1949cb1d62132099a4cf62330c43649a5
3
+ size 15365
modernbert-crux-researchy-flatten.b64_n512.1e-4/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c6caa3980c911491b74ec2e96e48a78cd7c3365dd32116c61642a4b6839a2da1
3
+ size 15365
modernbert-crux-researchy-flatten.b64_n512.1e-4/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4e93d0d6464a92d227e9235c134b2224cf28ea45ba375cf82e6949c632e2b0d5
3
+ size 15365
modernbert-crux-researchy-flatten.b64_n512.1e-4/runs/Dec09_23-49-04_nid005106/events.out.tfevents.1765316992.nid005106.127904.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cf8a8d73aeaaf6ea133e1fe8d9307045e4b5066f778aed66090980ec0ada69dd
3
+ size 459937
modernbert-crux-researchy-flatten.b64_n512.1e-4/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a1dc55d852ef70868b0961034622da0948eee9b7cd3b727c465e6777f6956438
3
+ size 1465
modernbert-crux-researchy-flatten.b64_n512.1e-4/special_tokens_map.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": {
3
+ "content": "[CLS]",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "mask_token": {
10
+ "content": "[MASK]",
11
+ "lstrip": true,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "[PAD]",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "sep_token": {
24
+ "content": "[SEP]",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "unk_token": {
31
+ "content": "[UNK]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ }
37
+ }
modernbert-crux-researchy-flatten.b64_n512.1e-4/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
modernbert-crux-researchy-flatten.b64_n512.1e-4/tokenizer_config.json ADDED
@@ -0,0 +1,945 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "|||IP_ADDRESS|||",
5
+ "lstrip": false,
6
+ "normalized": true,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": false
10
+ },
11
+ "1": {
12
+ "content": "<|padding|>",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "50254": {
20
+ "content": " ",
21
+ "lstrip": false,
22
+ "normalized": true,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": false
26
+ },
27
+ "50255": {
28
+ "content": " ",
29
+ "lstrip": false,
30
+ "normalized": true,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": false
34
+ },
35
+ "50256": {
36
+ "content": " ",
37
+ "lstrip": false,
38
+ "normalized": true,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": false
42
+ },
43
+ "50257": {
44
+ "content": " ",
45
+ "lstrip": false,
46
+ "normalized": true,
47
+ "rstrip": false,
48
+ "single_word": false,
49
+ "special": false
50
+ },
51
+ "50258": {
52
+ "content": " ",
53
+ "lstrip": false,
54
+ "normalized": true,
55
+ "rstrip": false,
56
+ "single_word": false,
57
+ "special": false
58
+ },
59
+ "50259": {
60
+ "content": " ",
61
+ "lstrip": false,
62
+ "normalized": true,
63
+ "rstrip": false,
64
+ "single_word": false,
65
+ "special": false
66
+ },
67
+ "50260": {
68
+ "content": " ",
69
+ "lstrip": false,
70
+ "normalized": true,
71
+ "rstrip": false,
72
+ "single_word": false,
73
+ "special": false
74
+ },
75
+ "50261": {
76
+ "content": " ",
77
+ "lstrip": false,
78
+ "normalized": true,
79
+ "rstrip": false,
80
+ "single_word": false,
81
+ "special": false
82
+ },
83
+ "50262": {
84
+ "content": " ",
85
+ "lstrip": false,
86
+ "normalized": true,
87
+ "rstrip": false,
88
+ "single_word": false,
89
+ "special": false
90
+ },
91
+ "50263": {
92
+ "content": " ",
93
+ "lstrip": false,
94
+ "normalized": true,
95
+ "rstrip": false,
96
+ "single_word": false,
97
+ "special": false
98
+ },
99
+ "50264": {
100
+ "content": " ",
101
+ "lstrip": false,
102
+ "normalized": true,
103
+ "rstrip": false,
104
+ "single_word": false,
105
+ "special": false
106
+ },
107
+ "50265": {
108
+ "content": " ",
109
+ "lstrip": false,
110
+ "normalized": true,
111
+ "rstrip": false,
112
+ "single_word": false,
113
+ "special": false
114
+ },
115
+ "50266": {
116
+ "content": " ",
117
+ "lstrip": false,
118
+ "normalized": true,
119
+ "rstrip": false,
120
+ "single_word": false,
121
+ "special": false
122
+ },
123
+ "50267": {
124
+ "content": " ",
125
+ "lstrip": false,
126
+ "normalized": true,
127
+ "rstrip": false,
128
+ "single_word": false,
129
+ "special": false
130
+ },
131
+ "50268": {
132
+ "content": " ",
133
+ "lstrip": false,
134
+ "normalized": true,
135
+ "rstrip": false,
136
+ "single_word": false,
137
+ "special": false
138
+ },
139
+ "50269": {
140
+ "content": " ",
141
+ "lstrip": false,
142
+ "normalized": true,
143
+ "rstrip": false,
144
+ "single_word": false,
145
+ "special": false
146
+ },
147
+ "50270": {
148
+ "content": " ",
149
+ "lstrip": false,
150
+ "normalized": true,
151
+ "rstrip": false,
152
+ "single_word": false,
153
+ "special": false
154
+ },
155
+ "50271": {
156
+ "content": " ",
157
+ "lstrip": false,
158
+ "normalized": true,
159
+ "rstrip": false,
160
+ "single_word": false,
161
+ "special": false
162
+ },
163
+ "50272": {
164
+ "content": " ",
165
+ "lstrip": false,
166
+ "normalized": true,
167
+ "rstrip": false,
168
+ "single_word": false,
169
+ "special": false
170
+ },
171
+ "50273": {
172
+ "content": " ",
173
+ "lstrip": false,
174
+ "normalized": true,
175
+ "rstrip": false,
176
+ "single_word": false,
177
+ "special": false
178
+ },
179
+ "50274": {
180
+ "content": " ",
181
+ "lstrip": false,
182
+ "normalized": true,
183
+ "rstrip": false,
184
+ "single_word": false,
185
+ "special": false
186
+ },
187
+ "50275": {
188
+ "content": " ",
189
+ "lstrip": false,
190
+ "normalized": true,
191
+ "rstrip": false,
192
+ "single_word": false,
193
+ "special": false
194
+ },
195
+ "50276": {
196
+ "content": " ",
197
+ "lstrip": false,
198
+ "normalized": true,
199
+ "rstrip": false,
200
+ "single_word": false,
201
+ "special": false
202
+ },
203
+ "50277": {
204
+ "content": "|||EMAIL_ADDRESS|||",
205
+ "lstrip": false,
206
+ "normalized": true,
207
+ "rstrip": false,
208
+ "single_word": false,
209
+ "special": false
210
+ },
211
+ "50278": {
212
+ "content": "|||PHONE_NUMBER|||",
213
+ "lstrip": false,
214
+ "normalized": true,
215
+ "rstrip": false,
216
+ "single_word": false,
217
+ "special": false
218
+ },
219
+ "50279": {
220
+ "content": "<|endoftext|>",
221
+ "lstrip": false,
222
+ "normalized": false,
223
+ "rstrip": false,
224
+ "single_word": false,
225
+ "special": true
226
+ },
227
+ "50280": {
228
+ "content": "[UNK]",
229
+ "lstrip": false,
230
+ "normalized": false,
231
+ "rstrip": false,
232
+ "single_word": false,
233
+ "special": true
234
+ },
235
+ "50281": {
236
+ "content": "[CLS]",
237
+ "lstrip": false,
238
+ "normalized": false,
239
+ "rstrip": false,
240
+ "single_word": false,
241
+ "special": true
242
+ },
243
+ "50282": {
244
+ "content": "[SEP]",
245
+ "lstrip": false,
246
+ "normalized": false,
247
+ "rstrip": false,
248
+ "single_word": false,
249
+ "special": true
250
+ },
251
+ "50283": {
252
+ "content": "[PAD]",
253
+ "lstrip": false,
254
+ "normalized": false,
255
+ "rstrip": false,
256
+ "single_word": false,
257
+ "special": true
258
+ },
259
+ "50284": {
260
+ "content": "[MASK]",
261
+ "lstrip": true,
262
+ "normalized": false,
263
+ "rstrip": false,
264
+ "single_word": false,
265
+ "special": true
266
+ },
267
+ "50285": {
268
+ "content": "[unused0]",
269
+ "lstrip": false,
270
+ "normalized": true,
271
+ "rstrip": false,
272
+ "single_word": false,
273
+ "special": false
274
+ },
275
+ "50286": {
276
+ "content": "[unused1]",
277
+ "lstrip": false,
278
+ "normalized": true,
279
+ "rstrip": false,
280
+ "single_word": false,
281
+ "special": false
282
+ },
283
+ "50287": {
284
+ "content": "[unused2]",
285
+ "lstrip": false,
286
+ "normalized": true,
287
+ "rstrip": false,
288
+ "single_word": false,
289
+ "special": false
290
+ },
291
+ "50288": {
292
+ "content": "[unused3]",
293
+ "lstrip": false,
294
+ "normalized": true,
295
+ "rstrip": false,
296
+ "single_word": false,
297
+ "special": false
298
+ },
299
+ "50289": {
300
+ "content": "[unused4]",
301
+ "lstrip": false,
302
+ "normalized": true,
303
+ "rstrip": false,
304
+ "single_word": false,
305
+ "special": false
306
+ },
307
+ "50290": {
308
+ "content": "[unused5]",
309
+ "lstrip": false,
310
+ "normalized": true,
311
+ "rstrip": false,
312
+ "single_word": false,
313
+ "special": false
314
+ },
315
+ "50291": {
316
+ "content": "[unused6]",
317
+ "lstrip": false,
318
+ "normalized": true,
319
+ "rstrip": false,
320
+ "single_word": false,
321
+ "special": false
322
+ },
323
+ "50292": {
324
+ "content": "[unused7]",
325
+ "lstrip": false,
326
+ "normalized": true,
327
+ "rstrip": false,
328
+ "single_word": false,
329
+ "special": false
330
+ },
331
+ "50293": {
332
+ "content": "[unused8]",
333
+ "lstrip": false,
334
+ "normalized": true,
335
+ "rstrip": false,
336
+ "single_word": false,
337
+ "special": false
338
+ },
339
+ "50294": {
340
+ "content": "[unused9]",
341
+ "lstrip": false,
342
+ "normalized": true,
343
+ "rstrip": false,
344
+ "single_word": false,
345
+ "special": false
346
+ },
347
+ "50295": {
348
+ "content": "[unused10]",
349
+ "lstrip": false,
350
+ "normalized": true,
351
+ "rstrip": false,
352
+ "single_word": false,
353
+ "special": false
354
+ },
355
+ "50296": {
356
+ "content": "[unused11]",
357
+ "lstrip": false,
358
+ "normalized": true,
359
+ "rstrip": false,
360
+ "single_word": false,
361
+ "special": false
362
+ },
363
+ "50297": {
364
+ "content": "[unused12]",
365
+ "lstrip": false,
366
+ "normalized": true,
367
+ "rstrip": false,
368
+ "single_word": false,
369
+ "special": false
370
+ },
371
+ "50298": {
372
+ "content": "[unused13]",
373
+ "lstrip": false,
374
+ "normalized": true,
375
+ "rstrip": false,
376
+ "single_word": false,
377
+ "special": false
378
+ },
379
+ "50299": {
380
+ "content": "[unused14]",
381
+ "lstrip": false,
382
+ "normalized": true,
383
+ "rstrip": false,
384
+ "single_word": false,
385
+ "special": false
386
+ },
387
+ "50300": {
388
+ "content": "[unused15]",
389
+ "lstrip": false,
390
+ "normalized": true,
391
+ "rstrip": false,
392
+ "single_word": false,
393
+ "special": false
394
+ },
395
+ "50301": {
396
+ "content": "[unused16]",
397
+ "lstrip": false,
398
+ "normalized": true,
399
+ "rstrip": false,
400
+ "single_word": false,
401
+ "special": false
402
+ },
403
+ "50302": {
404
+ "content": "[unused17]",
405
+ "lstrip": false,
406
+ "normalized": true,
407
+ "rstrip": false,
408
+ "single_word": false,
409
+ "special": false
410
+ },
411
+ "50303": {
412
+ "content": "[unused18]",
413
+ "lstrip": false,
414
+ "normalized": true,
415
+ "rstrip": false,
416
+ "single_word": false,
417
+ "special": false
418
+ },
419
+ "50304": {
420
+ "content": "[unused19]",
421
+ "lstrip": false,
422
+ "normalized": true,
423
+ "rstrip": false,
424
+ "single_word": false,
425
+ "special": false
426
+ },
427
+ "50305": {
428
+ "content": "[unused20]",
429
+ "lstrip": false,
430
+ "normalized": true,
431
+ "rstrip": false,
432
+ "single_word": false,
433
+ "special": false
434
+ },
435
+ "50306": {
436
+ "content": "[unused21]",
437
+ "lstrip": false,
438
+ "normalized": true,
439
+ "rstrip": false,
440
+ "single_word": false,
441
+ "special": false
442
+ },
443
+ "50307": {
444
+ "content": "[unused22]",
445
+ "lstrip": false,
446
+ "normalized": true,
447
+ "rstrip": false,
448
+ "single_word": false,
449
+ "special": false
450
+ },
451
+ "50308": {
452
+ "content": "[unused23]",
453
+ "lstrip": false,
454
+ "normalized": true,
455
+ "rstrip": false,
456
+ "single_word": false,
457
+ "special": false
458
+ },
459
+ "50309": {
460
+ "content": "[unused24]",
461
+ "lstrip": false,
462
+ "normalized": true,
463
+ "rstrip": false,
464
+ "single_word": false,
465
+ "special": false
466
+ },
467
+ "50310": {
468
+ "content": "[unused25]",
469
+ "lstrip": false,
470
+ "normalized": true,
471
+ "rstrip": false,
472
+ "single_word": false,
473
+ "special": false
474
+ },
475
+ "50311": {
476
+ "content": "[unused26]",
477
+ "lstrip": false,
478
+ "normalized": true,
479
+ "rstrip": false,
480
+ "single_word": false,
481
+ "special": false
482
+ },
483
+ "50312": {
484
+ "content": "[unused27]",
485
+ "lstrip": false,
486
+ "normalized": true,
487
+ "rstrip": false,
488
+ "single_word": false,
489
+ "special": false
490
+ },
491
+ "50313": {
492
+ "content": "[unused28]",
493
+ "lstrip": false,
494
+ "normalized": true,
495
+ "rstrip": false,
496
+ "single_word": false,
497
+ "special": false
498
+ },
499
+ "50314": {
500
+ "content": "[unused29]",
501
+ "lstrip": false,
502
+ "normalized": true,
503
+ "rstrip": false,
504
+ "single_word": false,
505
+ "special": false
506
+ },
507
+ "50315": {
508
+ "content": "[unused30]",
509
+ "lstrip": false,
510
+ "normalized": true,
511
+ "rstrip": false,
512
+ "single_word": false,
513
+ "special": false
514
+ },
515
+ "50316": {
516
+ "content": "[unused31]",
517
+ "lstrip": false,
518
+ "normalized": true,
519
+ "rstrip": false,
520
+ "single_word": false,
521
+ "special": false
522
+ },
523
+ "50317": {
524
+ "content": "[unused32]",
525
+ "lstrip": false,
526
+ "normalized": true,
527
+ "rstrip": false,
528
+ "single_word": false,
529
+ "special": false
530
+ },
531
+ "50318": {
532
+ "content": "[unused33]",
533
+ "lstrip": false,
534
+ "normalized": true,
535
+ "rstrip": false,
536
+ "single_word": false,
537
+ "special": false
538
+ },
539
+ "50319": {
540
+ "content": "[unused34]",
541
+ "lstrip": false,
542
+ "normalized": true,
543
+ "rstrip": false,
544
+ "single_word": false,
545
+ "special": false
546
+ },
547
+ "50320": {
548
+ "content": "[unused35]",
549
+ "lstrip": false,
550
+ "normalized": true,
551
+ "rstrip": false,
552
+ "single_word": false,
553
+ "special": false
554
+ },
555
+ "50321": {
556
+ "content": "[unused36]",
557
+ "lstrip": false,
558
+ "normalized": true,
559
+ "rstrip": false,
560
+ "single_word": false,
561
+ "special": false
562
+ },
563
+ "50322": {
564
+ "content": "[unused37]",
565
+ "lstrip": false,
566
+ "normalized": true,
567
+ "rstrip": false,
568
+ "single_word": false,
569
+ "special": false
570
+ },
571
+ "50323": {
572
+ "content": "[unused38]",
573
+ "lstrip": false,
574
+ "normalized": true,
575
+ "rstrip": false,
576
+ "single_word": false,
577
+ "special": false
578
+ },
579
+ "50324": {
580
+ "content": "[unused39]",
581
+ "lstrip": false,
582
+ "normalized": true,
583
+ "rstrip": false,
584
+ "single_word": false,
585
+ "special": false
586
+ },
587
+ "50325": {
588
+ "content": "[unused40]",
589
+ "lstrip": false,
590
+ "normalized": true,
591
+ "rstrip": false,
592
+ "single_word": false,
593
+ "special": false
594
+ },
595
+ "50326": {
596
+ "content": "[unused41]",
597
+ "lstrip": false,
598
+ "normalized": true,
599
+ "rstrip": false,
600
+ "single_word": false,
601
+ "special": false
602
+ },
603
+ "50327": {
604
+ "content": "[unused42]",
605
+ "lstrip": false,
606
+ "normalized": true,
607
+ "rstrip": false,
608
+ "single_word": false,
609
+ "special": false
610
+ },
611
+ "50328": {
612
+ "content": "[unused43]",
613
+ "lstrip": false,
614
+ "normalized": true,
615
+ "rstrip": false,
616
+ "single_word": false,
617
+ "special": false
618
+ },
619
+ "50329": {
620
+ "content": "[unused44]",
621
+ "lstrip": false,
622
+ "normalized": true,
623
+ "rstrip": false,
624
+ "single_word": false,
625
+ "special": false
626
+ },
627
+ "50330": {
628
+ "content": "[unused45]",
629
+ "lstrip": false,
630
+ "normalized": true,
631
+ "rstrip": false,
632
+ "single_word": false,
633
+ "special": false
634
+ },
635
+ "50331": {
636
+ "content": "[unused46]",
637
+ "lstrip": false,
638
+ "normalized": true,
639
+ "rstrip": false,
640
+ "single_word": false,
641
+ "special": false
642
+ },
643
+ "50332": {
644
+ "content": "[unused47]",
645
+ "lstrip": false,
646
+ "normalized": true,
647
+ "rstrip": false,
648
+ "single_word": false,
649
+ "special": false
650
+ },
651
+ "50333": {
652
+ "content": "[unused48]",
653
+ "lstrip": false,
654
+ "normalized": true,
655
+ "rstrip": false,
656
+ "single_word": false,
657
+ "special": false
658
+ },
659
+ "50334": {
660
+ "content": "[unused49]",
661
+ "lstrip": false,
662
+ "normalized": true,
663
+ "rstrip": false,
664
+ "single_word": false,
665
+ "special": false
666
+ },
667
+ "50335": {
668
+ "content": "[unused50]",
669
+ "lstrip": false,
670
+ "normalized": true,
671
+ "rstrip": false,
672
+ "single_word": false,
673
+ "special": false
674
+ },
675
+ "50336": {
676
+ "content": "[unused51]",
677
+ "lstrip": false,
678
+ "normalized": true,
679
+ "rstrip": false,
680
+ "single_word": false,
681
+ "special": false
682
+ },
683
+ "50337": {
684
+ "content": "[unused52]",
685
+ "lstrip": false,
686
+ "normalized": true,
687
+ "rstrip": false,
688
+ "single_word": false,
689
+ "special": false
690
+ },
691
+ "50338": {
692
+ "content": "[unused53]",
693
+ "lstrip": false,
694
+ "normalized": true,
695
+ "rstrip": false,
696
+ "single_word": false,
697
+ "special": false
698
+ },
699
+ "50339": {
700
+ "content": "[unused54]",
701
+ "lstrip": false,
702
+ "normalized": true,
703
+ "rstrip": false,
704
+ "single_word": false,
705
+ "special": false
706
+ },
707
+ "50340": {
708
+ "content": "[unused55]",
709
+ "lstrip": false,
710
+ "normalized": true,
711
+ "rstrip": false,
712
+ "single_word": false,
713
+ "special": false
714
+ },
715
+ "50341": {
716
+ "content": "[unused56]",
717
+ "lstrip": false,
718
+ "normalized": true,
719
+ "rstrip": false,
720
+ "single_word": false,
721
+ "special": false
722
+ },
723
+ "50342": {
724
+ "content": "[unused57]",
725
+ "lstrip": false,
726
+ "normalized": true,
727
+ "rstrip": false,
728
+ "single_word": false,
729
+ "special": false
730
+ },
731
+ "50343": {
732
+ "content": "[unused58]",
733
+ "lstrip": false,
734
+ "normalized": true,
735
+ "rstrip": false,
736
+ "single_word": false,
737
+ "special": false
738
+ },
739
+ "50344": {
740
+ "content": "[unused59]",
741
+ "lstrip": false,
742
+ "normalized": true,
743
+ "rstrip": false,
744
+ "single_word": false,
745
+ "special": false
746
+ },
747
+ "50345": {
748
+ "content": "[unused60]",
749
+ "lstrip": false,
750
+ "normalized": true,
751
+ "rstrip": false,
752
+ "single_word": false,
753
+ "special": false
754
+ },
755
+ "50346": {
756
+ "content": "[unused61]",
757
+ "lstrip": false,
758
+ "normalized": true,
759
+ "rstrip": false,
760
+ "single_word": false,
761
+ "special": false
762
+ },
763
+ "50347": {
764
+ "content": "[unused62]",
765
+ "lstrip": false,
766
+ "normalized": true,
767
+ "rstrip": false,
768
+ "single_word": false,
769
+ "special": false
770
+ },
771
+ "50348": {
772
+ "content": "[unused63]",
773
+ "lstrip": false,
774
+ "normalized": true,
775
+ "rstrip": false,
776
+ "single_word": false,
777
+ "special": false
778
+ },
779
+ "50349": {
780
+ "content": "[unused64]",
781
+ "lstrip": false,
782
+ "normalized": true,
783
+ "rstrip": false,
784
+ "single_word": false,
785
+ "special": false
786
+ },
787
+ "50350": {
788
+ "content": "[unused65]",
789
+ "lstrip": false,
790
+ "normalized": true,
791
+ "rstrip": false,
792
+ "single_word": false,
793
+ "special": false
794
+ },
795
+ "50351": {
796
+ "content": "[unused66]",
797
+ "lstrip": false,
798
+ "normalized": true,
799
+ "rstrip": false,
800
+ "single_word": false,
801
+ "special": false
802
+ },
803
+ "50352": {
804
+ "content": "[unused67]",
805
+ "lstrip": false,
806
+ "normalized": true,
807
+ "rstrip": false,
808
+ "single_word": false,
809
+ "special": false
810
+ },
811
+ "50353": {
812
+ "content": "[unused68]",
813
+ "lstrip": false,
814
+ "normalized": true,
815
+ "rstrip": false,
816
+ "single_word": false,
817
+ "special": false
818
+ },
819
+ "50354": {
820
+ "content": "[unused69]",
821
+ "lstrip": false,
822
+ "normalized": true,
823
+ "rstrip": false,
824
+ "single_word": false,
825
+ "special": false
826
+ },
827
+ "50355": {
828
+ "content": "[unused70]",
829
+ "lstrip": false,
830
+ "normalized": true,
831
+ "rstrip": false,
832
+ "single_word": false,
833
+ "special": false
834
+ },
835
+ "50356": {
836
+ "content": "[unused71]",
837
+ "lstrip": false,
838
+ "normalized": true,
839
+ "rstrip": false,
840
+ "single_word": false,
841
+ "special": false
842
+ },
843
+ "50357": {
844
+ "content": "[unused72]",
845
+ "lstrip": false,
846
+ "normalized": true,
847
+ "rstrip": false,
848
+ "single_word": false,
849
+ "special": false
850
+ },
851
+ "50358": {
852
+ "content": "[unused73]",
853
+ "lstrip": false,
854
+ "normalized": true,
855
+ "rstrip": false,
856
+ "single_word": false,
857
+ "special": false
858
+ },
859
+ "50359": {
860
+ "content": "[unused74]",
861
+ "lstrip": false,
862
+ "normalized": true,
863
+ "rstrip": false,
864
+ "single_word": false,
865
+ "special": false
866
+ },
867
+ "50360": {
868
+ "content": "[unused75]",
869
+ "lstrip": false,
870
+ "normalized": true,
871
+ "rstrip": false,
872
+ "single_word": false,
873
+ "special": false
874
+ },
875
+ "50361": {
876
+ "content": "[unused76]",
877
+ "lstrip": false,
878
+ "normalized": true,
879
+ "rstrip": false,
880
+ "single_word": false,
881
+ "special": false
882
+ },
883
+ "50362": {
884
+ "content": "[unused77]",
885
+ "lstrip": false,
886
+ "normalized": true,
887
+ "rstrip": false,
888
+ "single_word": false,
889
+ "special": false
890
+ },
891
+ "50363": {
892
+ "content": "[unused78]",
893
+ "lstrip": false,
894
+ "normalized": true,
895
+ "rstrip": false,
896
+ "single_word": false,
897
+ "special": false
898
+ },
899
+ "50364": {
900
+ "content": "[unused79]",
901
+ "lstrip": false,
902
+ "normalized": true,
903
+ "rstrip": false,
904
+ "single_word": false,
905
+ "special": false
906
+ },
907
+ "50365": {
908
+ "content": "[unused80]",
909
+ "lstrip": false,
910
+ "normalized": true,
911
+ "rstrip": false,
912
+ "single_word": false,
913
+ "special": false
914
+ },
915
+ "50366": {
916
+ "content": "[unused81]",
917
+ "lstrip": false,
918
+ "normalized": true,
919
+ "rstrip": false,
920
+ "single_word": false,
921
+ "special": false
922
+ },
923
+ "50367": {
924
+ "content": "[unused82]",
925
+ "lstrip": false,
926
+ "normalized": true,
927
+ "rstrip": false,
928
+ "single_word": false,
929
+ "special": false
930
+ }
931
+ },
932
+ "clean_up_tokenization_spaces": true,
933
+ "cls_token": "[CLS]",
934
+ "extra_special_tokens": {},
935
+ "mask_token": "[MASK]",
936
+ "model_input_names": [
937
+ "input_ids",
938
+ "attention_mask"
939
+ ],
940
+ "model_max_length": 1000000000000000019884624838656,
941
+ "pad_token": "[PAD]",
942
+ "sep_token": "[SEP]",
943
+ "tokenizer_class": "PreTrainedTokenizerFast",
944
+ "unk_token": "[UNK]"
945
+ }
modernbert-crux-researchy-flatten.b64_n512.1e-4/trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
modernbert-crux-researchy-flatten.b64_n512.1e-4/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:205393de77a05f484db2377ef40c55556ef0de4b97d04fcaeb594ddb2a92de2c
3
+ size 6033