PEFT
Safetensors
robertou2 commited on
Commit
ff468df
·
verified ·
1 Parent(s): 79e0eea

Upload folder using huggingface_hub

Browse files
Files changed (5) hide show
  1. adapter_model.safetensors +1 -1
  2. optimizer.pt +1 -1
  3. rng_state.pth +1 -1
  4. scheduler.pt +1 -1
  5. trainer_state.json +1507 -7
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6945b81d1abf275cf136367132c5efe3885b34373cc966c375d322be8b4622e6
3
  size 738232680
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3b1ef4f235714f8c3a5d95ec86fa6fa47c88ed5427ed6c71c86591e9edd44e12
3
  size 738232680
optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d1ce58fa22206ac80ab78f50811441ae16f334b22ca3c1b0ba39e2e14a62294f
3
  size 1476611275
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:057005316a733a2eca1390137d08c25f58fb7b120d45f27d2286547d3da06370
3
  size 1476611275
rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ea5c1ba5d1a2d9e8adb8a0f80c427bb87ef14137e07cbb0ac823737ba4d94098
3
  size 14645
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d9f086fad67247c070127f3d5f3c07ca470a78f03c26cde9ec189b8223e059e7
3
  size 14645
scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b6a0ceb4b88e220a982844159be33a142d353b4617ed2e8cbafc7dcba9bd25b9
3
  size 1465
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c5a7217cbf6a48b6118e1945e7a873ce9e9505368a7aa0f316b1becdcb2a8301
3
  size 1465
trainer_state.json CHANGED
@@ -1,10 +1,10 @@
1
  {
2
- "best_global_step": 150,
3
- "best_metric": 0.02080574445426464,
4
- "best_model_checkpoint": "/content/drive/MyDrive/lora_model/outputs/task15_microsoft/Phi-4-mini-instruct/checkpoint-150",
5
- "epoch": 7.894736842105263,
6
  "eval_steps": 1,
7
- "global_step": 150,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
@@ -2258,6 +2258,1506 @@
2258
  "eval_samples_per_second": 8.883,
2259
  "eval_steps_per_second": 1.184,
2260
  "step": 150
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2261
  }
2262
  ],
2263
  "logging_steps": 1,
@@ -2272,12 +3772,12 @@
2272
  "should_evaluate": false,
2273
  "should_log": false,
2274
  "should_save": true,
2275
- "should_training_stop": false
2276
  },
2277
  "attributes": {}
2278
  }
2279
  },
2280
- "total_flos": 6388961079367680.0,
2281
  "train_batch_size": 1,
2282
  "trial_name": null,
2283
  "trial_params": null
 
1
  {
2
+ "best_global_step": 242,
3
+ "best_metric": 0.0005153545062057674,
4
+ "best_model_checkpoint": "/content/drive/MyDrive/lora_model/outputs/task15_microsoft/Phi-4-mini-instruct/checkpoint-240",
5
+ "epoch": 13.157894736842104,
6
  "eval_steps": 1,
7
+ "global_step": 250,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
 
2258
  "eval_samples_per_second": 8.883,
2259
  "eval_steps_per_second": 1.184,
2260
  "step": 150
2261
+ },
2262
+ {
2263
+ "epoch": 7.947368421052632,
2264
+ "grad_norm": 0.5821244120597839,
2265
+ "learning_rate": 0.00019204496243311792,
2266
+ "loss": 0.0634,
2267
+ "step": 151
2268
+ },
2269
+ {
2270
+ "epoch": 7.947368421052632,
2271
+ "eval_loss": 0.016822049394249916,
2272
+ "eval_runtime": 3.3726,
2273
+ "eval_samples_per_second": 8.895,
2274
+ "eval_steps_per_second": 1.186,
2275
+ "step": 151
2276
+ },
2277
+ {
2278
+ "epoch": 8.0,
2279
+ "grad_norm": 0.38316017389297485,
2280
+ "learning_rate": 0.00018879916191120349,
2281
+ "loss": 0.0422,
2282
+ "step": 152
2283
+ },
2284
+ {
2285
+ "epoch": 8.0,
2286
+ "eval_loss": 0.013590247370302677,
2287
+ "eval_runtime": 3.3896,
2288
+ "eval_samples_per_second": 8.851,
2289
+ "eval_steps_per_second": 1.18,
2290
+ "step": 152
2291
+ },
2292
+ {
2293
+ "epoch": 8.052631578947368,
2294
+ "grad_norm": 0.10196978598833084,
2295
+ "learning_rate": 0.00018556429881011656,
2296
+ "loss": 0.0059,
2297
+ "step": 153
2298
+ },
2299
+ {
2300
+ "epoch": 8.052631578947368,
2301
+ "eval_loss": 0.013392569497227669,
2302
+ "eval_runtime": 3.3989,
2303
+ "eval_samples_per_second": 8.826,
2304
+ "eval_steps_per_second": 1.177,
2305
+ "step": 153
2306
+ },
2307
+ {
2308
+ "epoch": 8.105263157894736,
2309
+ "grad_norm": 0.13090473413467407,
2310
+ "learning_rate": 0.0001823409512438203,
2311
+ "loss": 0.0097,
2312
+ "step": 154
2313
+ },
2314
+ {
2315
+ "epoch": 8.105263157894736,
2316
+ "eval_loss": 0.013524877838790417,
2317
+ "eval_runtime": 3.4041,
2318
+ "eval_samples_per_second": 8.813,
2319
+ "eval_steps_per_second": 1.175,
2320
+ "step": 154
2321
+ },
2322
+ {
2323
+ "epoch": 8.157894736842104,
2324
+ "grad_norm": 0.08641204982995987,
2325
+ "learning_rate": 0.00017912969526829559,
2326
+ "loss": 0.0046,
2327
+ "step": 155
2328
+ },
2329
+ {
2330
+ "epoch": 8.157894736842104,
2331
+ "eval_loss": 0.014381513930857182,
2332
+ "eval_runtime": 3.4025,
2333
+ "eval_samples_per_second": 8.817,
2334
+ "eval_steps_per_second": 1.176,
2335
+ "step": 155
2336
+ },
2337
+ {
2338
+ "epoch": 8.210526315789474,
2339
+ "grad_norm": 0.2780037522315979,
2340
+ "learning_rate": 0.00017593110477859153,
2341
+ "loss": 0.0212,
2342
+ "step": 156
2343
+ },
2344
+ {
2345
+ "epoch": 8.210526315789474,
2346
+ "eval_loss": 0.01327499095350504,
2347
+ "eval_runtime": 3.3964,
2348
+ "eval_samples_per_second": 8.833,
2349
+ "eval_steps_per_second": 1.178,
2350
+ "step": 156
2351
+ },
2352
+ {
2353
+ "epoch": 8.263157894736842,
2354
+ "grad_norm": 0.31865352392196655,
2355
+ "learning_rate": 0.00017274575140626317,
2356
+ "loss": 0.0212,
2357
+ "step": 157
2358
+ },
2359
+ {
2360
+ "epoch": 8.263157894736842,
2361
+ "eval_loss": 0.012452797032892704,
2362
+ "eval_runtime": 3.3903,
2363
+ "eval_samples_per_second": 8.849,
2364
+ "eval_steps_per_second": 1.18,
2365
+ "step": 157
2366
+ },
2367
+ {
2368
+ "epoch": 8.31578947368421,
2369
+ "grad_norm": 0.35457736253738403,
2370
+ "learning_rate": 0.00016957420441721284,
2371
+ "loss": 0.0098,
2372
+ "step": 158
2373
+ },
2374
+ {
2375
+ "epoch": 8.31578947368421,
2376
+ "eval_loss": 0.011020404286682606,
2377
+ "eval_runtime": 3.3806,
2378
+ "eval_samples_per_second": 8.874,
2379
+ "eval_steps_per_second": 1.183,
2380
+ "step": 158
2381
+ },
2382
+ {
2383
+ "epoch": 8.368421052631579,
2384
+ "grad_norm": 0.3316934108734131,
2385
+ "learning_rate": 0.00016641703060995457,
2386
+ "loss": 0.022,
2387
+ "step": 159
2388
+ },
2389
+ {
2390
+ "epoch": 8.368421052631579,
2391
+ "eval_loss": 0.010090429335832596,
2392
+ "eval_runtime": 3.3847,
2393
+ "eval_samples_per_second": 8.863,
2394
+ "eval_steps_per_second": 1.182,
2395
+ "step": 159
2396
+ },
2397
+ {
2398
+ "epoch": 8.421052631578947,
2399
+ "grad_norm": 0.2943498492240906,
2400
+ "learning_rate": 0.00016327479421431983,
2401
+ "loss": 0.0208,
2402
+ "step": 160
2403
+ },
2404
+ {
2405
+ "epoch": 8.421052631578947,
2406
+ "eval_loss": 0.008338144980370998,
2407
+ "eval_runtime": 3.3812,
2408
+ "eval_samples_per_second": 8.872,
2409
+ "eval_steps_per_second": 1.183,
2410
+ "step": 160
2411
+ },
2412
+ {
2413
+ "epoch": 8.473684210526315,
2414
+ "grad_norm": 0.2523714303970337,
2415
+ "learning_rate": 0.00016014805679062183,
2416
+ "loss": 0.017,
2417
+ "step": 161
2418
+ },
2419
+ {
2420
+ "epoch": 8.473684210526315,
2421
+ "eval_loss": 0.007794048171490431,
2422
+ "eval_runtime": 3.379,
2423
+ "eval_samples_per_second": 8.878,
2424
+ "eval_steps_per_second": 1.184,
2425
+ "step": 161
2426
+ },
2427
+ {
2428
+ "epoch": 8.526315789473685,
2429
+ "grad_norm": 0.45208269357681274,
2430
+ "learning_rate": 0.0001570373771292967,
2431
+ "loss": 0.0161,
2432
+ "step": 162
2433
+ },
2434
+ {
2435
+ "epoch": 8.526315789473685,
2436
+ "eval_loss": 0.00768243195489049,
2437
+ "eval_runtime": 3.4065,
2438
+ "eval_samples_per_second": 8.807,
2439
+ "eval_steps_per_second": 1.174,
2440
+ "step": 162
2441
+ },
2442
+ {
2443
+ "epoch": 8.578947368421053,
2444
+ "grad_norm": 0.20215876400470734,
2445
+ "learning_rate": 0.00015394331115104075,
2446
+ "loss": 0.0143,
2447
+ "step": 163
2448
+ },
2449
+ {
2450
+ "epoch": 8.578947368421053,
2451
+ "eval_loss": 0.007556635420769453,
2452
+ "eval_runtime": 3.4167,
2453
+ "eval_samples_per_second": 8.78,
2454
+ "eval_steps_per_second": 1.171,
2455
+ "step": 163
2456
+ },
2457
+ {
2458
+ "epoch": 8.631578947368421,
2459
+ "grad_norm": 0.4235493540763855,
2460
+ "learning_rate": 0.00015086641180745932,
2461
+ "loss": 0.02,
2462
+ "step": 164
2463
+ },
2464
+ {
2465
+ "epoch": 8.631578947368421,
2466
+ "eval_loss": 0.008587359450757504,
2467
+ "eval_runtime": 3.4278,
2468
+ "eval_samples_per_second": 8.752,
2469
+ "eval_steps_per_second": 1.167,
2470
+ "step": 164
2471
+ },
2472
+ {
2473
+ "epoch": 8.68421052631579,
2474
+ "grad_norm": 0.3459453582763672,
2475
+ "learning_rate": 0.00014780722898224708,
2476
+ "loss": 0.0156,
2477
+ "step": 165
2478
+ },
2479
+ {
2480
+ "epoch": 8.68421052631579,
2481
+ "eval_loss": 0.009687132202088833,
2482
+ "eval_runtime": 3.4089,
2483
+ "eval_samples_per_second": 8.801,
2484
+ "eval_steps_per_second": 1.173,
2485
+ "step": 165
2486
+ },
2487
+ {
2488
+ "epoch": 8.736842105263158,
2489
+ "grad_norm": 0.46791887283325195,
2490
+ "learning_rate": 0.0001447663093929163,
2491
+ "loss": 0.0254,
2492
+ "step": 166
2493
+ },
2494
+ {
2495
+ "epoch": 8.736842105263158,
2496
+ "eval_loss": 0.005360104609280825,
2497
+ "eval_runtime": 3.4012,
2498
+ "eval_samples_per_second": 8.82,
2499
+ "eval_steps_per_second": 1.176,
2500
+ "step": 166
2501
+ },
2502
+ {
2503
+ "epoch": 8.789473684210526,
2504
+ "grad_norm": 0.32888978719711304,
2505
+ "learning_rate": 0.00014174419649309089,
2506
+ "loss": 0.0193,
2507
+ "step": 167
2508
+ },
2509
+ {
2510
+ "epoch": 8.789473684210526,
2511
+ "eval_loss": 0.005120207089930773,
2512
+ "eval_runtime": 3.393,
2513
+ "eval_samples_per_second": 8.842,
2514
+ "eval_steps_per_second": 1.179,
2515
+ "step": 167
2516
+ },
2517
+ {
2518
+ "epoch": 8.842105263157894,
2519
+ "grad_norm": 0.36381661891937256,
2520
+ "learning_rate": 0.00013874143037538418,
2521
+ "loss": 0.0115,
2522
+ "step": 168
2523
+ },
2524
+ {
2525
+ "epoch": 8.842105263157894,
2526
+ "eval_loss": 0.005558122880756855,
2527
+ "eval_runtime": 3.397,
2528
+ "eval_samples_per_second": 8.831,
2529
+ "eval_steps_per_second": 1.178,
2530
+ "step": 168
2531
+ },
2532
+ {
2533
+ "epoch": 8.894736842105264,
2534
+ "grad_norm": 0.15391984581947327,
2535
+ "learning_rate": 0.0001357585476748766,
2536
+ "loss": 0.0077,
2537
+ "step": 169
2538
+ },
2539
+ {
2540
+ "epoch": 8.894736842105264,
2541
+ "eval_loss": 0.006869714241474867,
2542
+ "eval_runtime": 3.392,
2543
+ "eval_samples_per_second": 8.844,
2544
+ "eval_steps_per_second": 1.179,
2545
+ "step": 169
2546
+ },
2547
+ {
2548
+ "epoch": 8.947368421052632,
2549
+ "grad_norm": 0.3248370289802551,
2550
+ "learning_rate": 0.00013279608147321223,
2551
+ "loss": 0.0066,
2552
+ "step": 170
2553
+ },
2554
+ {
2555
+ "epoch": 8.947368421052632,
2556
+ "eval_loss": 0.00868891179561615,
2557
+ "eval_runtime": 3.391,
2558
+ "eval_samples_per_second": 8.847,
2559
+ "eval_steps_per_second": 1.18,
2560
+ "step": 170
2561
+ },
2562
+ {
2563
+ "epoch": 9.0,
2564
+ "grad_norm": 0.22031106054782867,
2565
+ "learning_rate": 0.00012985456120332905,
2566
+ "loss": 0.0103,
2567
+ "step": 171
2568
+ },
2569
+ {
2570
+ "epoch": 9.0,
2571
+ "eval_loss": 0.009011917747557163,
2572
+ "eval_runtime": 3.3794,
2573
+ "eval_samples_per_second": 8.877,
2574
+ "eval_steps_per_second": 1.184,
2575
+ "step": 171
2576
+ },
2577
+ {
2578
+ "epoch": 9.052631578947368,
2579
+ "grad_norm": 0.19521355628967285,
2580
+ "learning_rate": 0.00012693451255484312,
2581
+ "loss": 0.0035,
2582
+ "step": 172
2583
+ },
2584
+ {
2585
+ "epoch": 9.052631578947368,
2586
+ "eval_loss": 0.0076974560506641865,
2587
+ "eval_runtime": 3.3987,
2588
+ "eval_samples_per_second": 8.827,
2589
+ "eval_steps_per_second": 1.177,
2590
+ "step": 172
2591
+ },
2592
+ {
2593
+ "epoch": 9.105263157894736,
2594
+ "grad_norm": 0.22541294991970062,
2595
+ "learning_rate": 0.00012403645738009997,
2596
+ "loss": 0.0089,
2597
+ "step": 173
2598
+ },
2599
+ {
2600
+ "epoch": 9.105263157894736,
2601
+ "eval_loss": 0.004544786177575588,
2602
+ "eval_runtime": 3.41,
2603
+ "eval_samples_per_second": 8.798,
2604
+ "eval_steps_per_second": 1.173,
2605
+ "step": 173
2606
+ },
2607
+ {
2608
+ "epoch": 9.157894736842104,
2609
+ "grad_norm": 0.1337708979845047,
2610
+ "learning_rate": 0.00012116091360091261,
2611
+ "loss": 0.005,
2612
+ "step": 174
2613
+ },
2614
+ {
2615
+ "epoch": 9.157894736842104,
2616
+ "eval_loss": 0.0032975501380860806,
2617
+ "eval_runtime": 3.4164,
2618
+ "eval_samples_per_second": 8.781,
2619
+ "eval_steps_per_second": 1.171,
2620
+ "step": 174
2621
+ },
2622
+ {
2623
+ "epoch": 9.210526315789474,
2624
+ "grad_norm": 0.08104129135608673,
2625
+ "learning_rate": 0.00011830839511600211,
2626
+ "loss": 0.0028,
2627
+ "step": 175
2628
+ },
2629
+ {
2630
+ "epoch": 9.210526315789474,
2631
+ "eval_loss": 0.002934858202934265,
2632
+ "eval_runtime": 3.4116,
2633
+ "eval_samples_per_second": 8.793,
2634
+ "eval_steps_per_second": 1.172,
2635
+ "step": 175
2636
+ },
2637
+ {
2638
+ "epoch": 9.263157894736842,
2639
+ "grad_norm": 0.03561758995056152,
2640
+ "learning_rate": 0.00011547941170915685,
2641
+ "loss": 0.0017,
2642
+ "step": 176
2643
+ },
2644
+ {
2645
+ "epoch": 9.263157894736842,
2646
+ "eval_loss": 0.0032255654223263264,
2647
+ "eval_runtime": 3.4066,
2648
+ "eval_samples_per_second": 8.806,
2649
+ "eval_steps_per_second": 1.174,
2650
+ "step": 176
2651
+ },
2652
+ {
2653
+ "epoch": 9.31578947368421,
2654
+ "grad_norm": 0.11387041211128235,
2655
+ "learning_rate": 0.00011267446895812702,
2656
+ "loss": 0.0044,
2657
+ "step": 177
2658
+ },
2659
+ {
2660
+ "epoch": 9.31578947368421,
2661
+ "eval_loss": 0.003973633516579866,
2662
+ "eval_runtime": 3.4044,
2663
+ "eval_samples_per_second": 8.812,
2664
+ "eval_steps_per_second": 1.175,
2665
+ "step": 177
2666
+ },
2667
+ {
2668
+ "epoch": 9.368421052631579,
2669
+ "grad_norm": 0.19635799527168274,
2670
+ "learning_rate": 0.0001098940681442713,
2671
+ "loss": 0.0085,
2672
+ "step": 178
2673
+ },
2674
+ {
2675
+ "epoch": 9.368421052631579,
2676
+ "eval_loss": 0.004082486033439636,
2677
+ "eval_runtime": 3.3977,
2678
+ "eval_samples_per_second": 8.83,
2679
+ "eval_steps_per_second": 1.177,
2680
+ "step": 178
2681
+ },
2682
+ {
2683
+ "epoch": 9.421052631578947,
2684
+ "grad_norm": 0.16695837676525116,
2685
+ "learning_rate": 0.00010713870616297092,
2686
+ "loss": 0.0041,
2687
+ "step": 179
2688
+ },
2689
+ {
2690
+ "epoch": 9.421052631578947,
2691
+ "eval_loss": 0.004096930380910635,
2692
+ "eval_runtime": 3.3946,
2693
+ "eval_samples_per_second": 8.838,
2694
+ "eval_steps_per_second": 1.178,
2695
+ "step": 179
2696
+ },
2697
+ {
2698
+ "epoch": 9.473684210526315,
2699
+ "grad_norm": 0.10704478621482849,
2700
+ "learning_rate": 0.00010440887543482746,
2701
+ "loss": 0.0061,
2702
+ "step": 180
2703
+ },
2704
+ {
2705
+ "epoch": 9.473684210526315,
2706
+ "eval_loss": 0.003820668673142791,
2707
+ "eval_runtime": 3.3815,
2708
+ "eval_samples_per_second": 8.872,
2709
+ "eval_steps_per_second": 1.183,
2710
+ "step": 180
2711
+ },
2712
+ {
2713
+ "epoch": 9.526315789473685,
2714
+ "grad_norm": 0.15356966853141785,
2715
+ "learning_rate": 0.0001017050638176612,
2716
+ "loss": 0.0042,
2717
+ "step": 181
2718
+ },
2719
+ {
2720
+ "epoch": 9.526315789473685,
2721
+ "eval_loss": 0.002816816559061408,
2722
+ "eval_runtime": 3.3759,
2723
+ "eval_samples_per_second": 8.887,
2724
+ "eval_steps_per_second": 1.185,
2725
+ "step": 181
2726
+ },
2727
+ {
2728
+ "epoch": 9.578947368421053,
2729
+ "grad_norm": 0.14018815755844116,
2730
+ "learning_rate": 9.902775451932386e-05,
2731
+ "loss": 0.0035,
2732
+ "step": 182
2733
+ },
2734
+ {
2735
+ "epoch": 9.578947368421053,
2736
+ "eval_loss": 0.0024158721789717674,
2737
+ "eval_runtime": 3.385,
2738
+ "eval_samples_per_second": 8.863,
2739
+ "eval_steps_per_second": 1.182,
2740
+ "step": 182
2741
+ },
2742
+ {
2743
+ "epoch": 9.631578947368421,
2744
+ "grad_norm": 0.131745383143425,
2745
+ "learning_rate": 9.637742601134286e-05,
2746
+ "loss": 0.0072,
2747
+ "step": 183
2748
+ },
2749
+ {
2750
+ "epoch": 9.631578947368421,
2751
+ "eval_loss": 0.002450426109135151,
2752
+ "eval_runtime": 3.42,
2753
+ "eval_samples_per_second": 8.772,
2754
+ "eval_steps_per_second": 1.17,
2755
+ "step": 183
2756
+ },
2757
+ {
2758
+ "epoch": 9.68421052631579,
2759
+ "grad_norm": 0.1151895672082901,
2760
+ "learning_rate": 9.375455194341214e-05,
2761
+ "loss": 0.0036,
2762
+ "step": 184
2763
+ },
2764
+ {
2765
+ "epoch": 9.68421052631579,
2766
+ "eval_loss": 0.0024695699103176594,
2767
+ "eval_runtime": 3.4266,
2768
+ "eval_samples_per_second": 8.755,
2769
+ "eval_steps_per_second": 1.167,
2770
+ "step": 184
2771
+ },
2772
+ {
2773
+ "epoch": 9.736842105263158,
2774
+ "grad_norm": 0.10937950760126114,
2775
+ "learning_rate": 9.11596010587441e-05,
2776
+ "loss": 0.0069,
2777
+ "step": 185
2778
+ },
2779
+ {
2780
+ "epoch": 9.736842105263158,
2781
+ "eval_loss": 0.002432518871501088,
2782
+ "eval_runtime": 3.412,
2783
+ "eval_samples_per_second": 8.792,
2784
+ "eval_steps_per_second": 1.172,
2785
+ "step": 185
2786
+ },
2787
+ {
2788
+ "epoch": 9.789473684210526,
2789
+ "grad_norm": 0.11447066813707352,
2790
+ "learning_rate": 8.85930371102994e-05,
2791
+ "loss": 0.009,
2792
+ "step": 186
2793
+ },
2794
+ {
2795
+ "epoch": 9.789473684210526,
2796
+ "eval_loss": 0.0024716572370380163,
2797
+ "eval_runtime": 3.4131,
2798
+ "eval_samples_per_second": 8.79,
2799
+ "eval_steps_per_second": 1.172,
2800
+ "step": 186
2801
+ },
2802
+ {
2803
+ "epoch": 9.842105263157894,
2804
+ "grad_norm": 0.17368115484714508,
2805
+ "learning_rate": 8.605531877790762e-05,
2806
+ "loss": 0.0049,
2807
+ "step": 187
2808
+ },
2809
+ {
2810
+ "epoch": 9.842105263157894,
2811
+ "eval_loss": 0.002253969432786107,
2812
+ "eval_runtime": 3.4001,
2813
+ "eval_samples_per_second": 8.823,
2814
+ "eval_steps_per_second": 1.176,
2815
+ "step": 187
2816
+ },
2817
+ {
2818
+ "epoch": 9.894736842105264,
2819
+ "grad_norm": 0.11908090114593506,
2820
+ "learning_rate": 8.354689958629513e-05,
2821
+ "loss": 0.0041,
2822
+ "step": 188
2823
+ },
2824
+ {
2825
+ "epoch": 9.894736842105264,
2826
+ "eval_loss": 0.0017488420708104968,
2827
+ "eval_runtime": 3.3957,
2828
+ "eval_samples_per_second": 8.835,
2829
+ "eval_steps_per_second": 1.178,
2830
+ "step": 188
2831
+ },
2832
+ {
2833
+ "epoch": 9.947368421052632,
2834
+ "grad_norm": 0.022854585200548172,
2835
+ "learning_rate": 8.106822782403376e-05,
2836
+ "loss": 0.0009,
2837
+ "step": 189
2838
+ },
2839
+ {
2840
+ "epoch": 9.947368421052632,
2841
+ "eval_loss": 0.0015173099236562848,
2842
+ "eval_runtime": 3.3937,
2843
+ "eval_samples_per_second": 8.84,
2844
+ "eval_steps_per_second": 1.179,
2845
+ "step": 189
2846
+ },
2847
+ {
2848
+ "epoch": 10.0,
2849
+ "grad_norm": 0.11229632049798965,
2850
+ "learning_rate": 7.861974646342596e-05,
2851
+ "loss": 0.0041,
2852
+ "step": 190
2853
+ },
2854
+ {
2855
+ "epoch": 10.0,
2856
+ "eval_loss": 0.001307736849412322,
2857
+ "eval_runtime": 3.3916,
2858
+ "eval_samples_per_second": 8.845,
2859
+ "eval_steps_per_second": 1.179,
2860
+ "step": 190
2861
+ },
2862
+ {
2863
+ "epoch": 10.052631578947368,
2864
+ "grad_norm": 0.015706708654761314,
2865
+ "learning_rate": 7.620189308133943e-05,
2866
+ "loss": 0.0009,
2867
+ "step": 191
2868
+ },
2869
+ {
2870
+ "epoch": 10.052631578947368,
2871
+ "eval_loss": 0.0011787700932472944,
2872
+ "eval_runtime": 3.3762,
2873
+ "eval_samples_per_second": 8.886,
2874
+ "eval_steps_per_second": 1.185,
2875
+ "step": 191
2876
+ },
2877
+ {
2878
+ "epoch": 10.105263157894736,
2879
+ "grad_norm": 0.019422335550189018,
2880
+ "learning_rate": 7.381509978100626e-05,
2881
+ "loss": 0.001,
2882
+ "step": 192
2883
+ },
2884
+ {
2885
+ "epoch": 10.105263157894736,
2886
+ "eval_loss": 0.0011202039895579219,
2887
+ "eval_runtime": 3.394,
2888
+ "eval_samples_per_second": 8.839,
2889
+ "eval_steps_per_second": 1.179,
2890
+ "step": 192
2891
+ },
2892
+ {
2893
+ "epoch": 10.157894736842104,
2894
+ "grad_norm": 0.04005387797951698,
2895
+ "learning_rate": 7.145979311479986e-05,
2896
+ "loss": 0.0019,
2897
+ "step": 193
2898
+ },
2899
+ {
2900
+ "epoch": 10.157894736842104,
2901
+ "eval_loss": 0.001045590965077281,
2902
+ "eval_runtime": 3.4086,
2903
+ "eval_samples_per_second": 8.801,
2904
+ "eval_steps_per_second": 1.173,
2905
+ "step": 193
2906
+ },
2907
+ {
2908
+ "epoch": 10.210526315789474,
2909
+ "grad_norm": 0.04162440448999405,
2910
+ "learning_rate": 6.913639400800489e-05,
2911
+ "loss": 0.0014,
2912
+ "step": 194
2913
+ },
2914
+ {
2915
+ "epoch": 10.210526315789474,
2916
+ "eval_loss": 0.0009902982274070382,
2917
+ "eval_runtime": 3.4252,
2918
+ "eval_samples_per_second": 8.759,
2919
+ "eval_steps_per_second": 1.168,
2920
+ "step": 194
2921
+ },
2922
+ {
2923
+ "epoch": 10.263157894736842,
2924
+ "grad_norm": 0.013023920357227325,
2925
+ "learning_rate": 6.684531768359173e-05,
2926
+ "loss": 0.0007,
2927
+ "step": 195
2928
+ },
2929
+ {
2930
+ "epoch": 10.263157894736842,
2931
+ "eval_loss": 0.0009328785818070173,
2932
+ "eval_runtime": 3.4148,
2933
+ "eval_samples_per_second": 8.785,
2934
+ "eval_steps_per_second": 1.171,
2935
+ "step": 195
2936
+ },
2937
+ {
2938
+ "epoch": 10.31578947368421,
2939
+ "grad_norm": 0.028714731335639954,
2940
+ "learning_rate": 6.458697358801061e-05,
2941
+ "loss": 0.0008,
2942
+ "step": 196
2943
+ },
2944
+ {
2945
+ "epoch": 10.31578947368421,
2946
+ "eval_loss": 0.0008854508632794023,
2947
+ "eval_runtime": 3.4076,
2948
+ "eval_samples_per_second": 8.804,
2949
+ "eval_steps_per_second": 1.174,
2950
+ "step": 196
2951
+ },
2952
+ {
2953
+ "epoch": 10.368421052631579,
2954
+ "grad_norm": 0.010757100768387318,
2955
+ "learning_rate": 6.236176531801813e-05,
2956
+ "loss": 0.0006,
2957
+ "step": 197
2958
+ },
2959
+ {
2960
+ "epoch": 10.368421052631579,
2961
+ "eval_loss": 0.0008607438649050891,
2962
+ "eval_runtime": 3.4022,
2963
+ "eval_samples_per_second": 8.818,
2964
+ "eval_steps_per_second": 1.176,
2965
+ "step": 197
2966
+ },
2967
+ {
2968
+ "epoch": 10.421052631578947,
2969
+ "grad_norm": 0.01270526647567749,
2970
+ "learning_rate": 6.017009054854858e-05,
2971
+ "loss": 0.0006,
2972
+ "step": 198
2973
+ },
2974
+ {
2975
+ "epoch": 10.421052631578947,
2976
+ "eval_loss": 0.000837828207295388,
2977
+ "eval_runtime": 3.3979,
2978
+ "eval_samples_per_second": 8.829,
2979
+ "eval_steps_per_second": 1.177,
2980
+ "step": 198
2981
+ },
2982
+ {
2983
+ "epoch": 10.473684210526315,
2984
+ "grad_norm": 0.023228133097290993,
2985
+ "learning_rate": 5.801234096164468e-05,
2986
+ "loss": 0.0015,
2987
+ "step": 199
2988
+ },
2989
+ {
2990
+ "epoch": 10.473684210526315,
2991
+ "eval_loss": 0.0008206319180317223,
2992
+ "eval_runtime": 3.3763,
2993
+ "eval_samples_per_second": 8.885,
2994
+ "eval_steps_per_second": 1.185,
2995
+ "step": 199
2996
+ },
2997
+ {
2998
+ "epoch": 10.526315789473685,
2999
+ "grad_norm": 0.05448168143630028,
3000
+ "learning_rate": 5.58889021764582e-05,
3001
+ "loss": 0.0016,
3002
+ "step": 200
3003
+ },
3004
+ {
3005
+ "epoch": 10.526315789473685,
3006
+ "eval_loss": 0.0007741096196696162,
3007
+ "eval_runtime": 3.3873,
3008
+ "eval_samples_per_second": 8.857,
3009
+ "eval_steps_per_second": 1.181,
3010
+ "step": 200
3011
+ },
3012
+ {
3013
+ "epoch": 10.578947368421053,
3014
+ "grad_norm": 0.016489550471305847,
3015
+ "learning_rate": 5.3800153680334754e-05,
3016
+ "loss": 0.0007,
3017
+ "step": 201
3018
+ },
3019
+ {
3020
+ "epoch": 10.578947368421053,
3021
+ "eval_loss": 0.0007717728731222451,
3022
+ "eval_runtime": 3.3789,
3023
+ "eval_samples_per_second": 8.879,
3024
+ "eval_steps_per_second": 1.184,
3025
+ "step": 201
3026
+ },
3027
+ {
3028
+ "epoch": 10.631578947368421,
3029
+ "grad_norm": 0.012773360125720501,
3030
+ "learning_rate": 5.17464687609942e-05,
3031
+ "loss": 0.0009,
3032
+ "step": 202
3033
+ },
3034
+ {
3035
+ "epoch": 10.631578947368421,
3036
+ "eval_loss": 0.0007335889968089759,
3037
+ "eval_runtime": 3.3991,
3038
+ "eval_samples_per_second": 8.826,
3039
+ "eval_steps_per_second": 1.177,
3040
+ "step": 202
3041
+ },
3042
+ {
3043
+ "epoch": 10.68421052631579,
3044
+ "grad_norm": 0.055602073669433594,
3045
+ "learning_rate": 4.97282144398192e-05,
3046
+ "loss": 0.0024,
3047
+ "step": 203
3048
+ },
3049
+ {
3050
+ "epoch": 10.68421052631579,
3051
+ "eval_loss": 0.0007247411995194852,
3052
+ "eval_runtime": 3.4158,
3053
+ "eval_samples_per_second": 8.783,
3054
+ "eval_steps_per_second": 1.171,
3055
+ "step": 203
3056
+ },
3057
+ {
3058
+ "epoch": 10.736842105263158,
3059
+ "grad_norm": 0.11499447375535965,
3060
+ "learning_rate": 4.7745751406263163e-05,
3061
+ "loss": 0.0079,
3062
+ "step": 204
3063
+ },
3064
+ {
3065
+ "epoch": 10.736842105263158,
3066
+ "eval_loss": 0.0006966831278987229,
3067
+ "eval_runtime": 3.4204,
3068
+ "eval_samples_per_second": 8.771,
3069
+ "eval_steps_per_second": 1.169,
3070
+ "step": 204
3071
+ },
3072
+ {
3073
+ "epoch": 10.789473684210526,
3074
+ "grad_norm": 0.018082423135638237,
3075
+ "learning_rate": 4.5799433953390616e-05,
3076
+ "loss": 0.0008,
3077
+ "step": 205
3078
+ },
3079
+ {
3080
+ "epoch": 10.789473684210526,
3081
+ "eval_loss": 0.0006818302790634334,
3082
+ "eval_runtime": 3.4138,
3083
+ "eval_samples_per_second": 8.788,
3084
+ "eval_steps_per_second": 1.172,
3085
+ "step": 205
3086
+ },
3087
+ {
3088
+ "epoch": 10.842105263157894,
3089
+ "grad_norm": 0.00948310550302267,
3090
+ "learning_rate": 4.388960991455998e-05,
3091
+ "loss": 0.0005,
3092
+ "step": 206
3093
+ },
3094
+ {
3095
+ "epoch": 10.842105263157894,
3096
+ "eval_loss": 0.0006638814229518175,
3097
+ "eval_runtime": 3.4095,
3098
+ "eval_samples_per_second": 8.799,
3099
+ "eval_steps_per_second": 1.173,
3100
+ "step": 206
3101
+ },
3102
+ {
3103
+ "epoch": 10.894736842105264,
3104
+ "grad_norm": 0.029851695522665977,
3105
+ "learning_rate": 4.2016620601260796e-05,
3106
+ "loss": 0.0012,
3107
+ "step": 207
3108
+ },
3109
+ {
3110
+ "epoch": 10.894736842105264,
3111
+ "eval_loss": 0.0006514237029477954,
3112
+ "eval_runtime": 3.4064,
3113
+ "eval_samples_per_second": 8.807,
3114
+ "eval_steps_per_second": 1.174,
3115
+ "step": 207
3116
+ },
3117
+ {
3118
+ "epoch": 10.947368421052632,
3119
+ "grad_norm": 0.00712271174415946,
3120
+ "learning_rate": 4.0180800742117244e-05,
3121
+ "loss": 0.0004,
3122
+ "step": 208
3123
+ },
3124
+ {
3125
+ "epoch": 10.947368421052632,
3126
+ "eval_loss": 0.0006477877032011747,
3127
+ "eval_runtime": 3.3956,
3128
+ "eval_samples_per_second": 8.835,
3129
+ "eval_steps_per_second": 1.178,
3130
+ "step": 208
3131
+ },
3132
+ {
3133
+ "epoch": 11.0,
3134
+ "grad_norm": 0.028429174795746803,
3135
+ "learning_rate": 3.838247842306716e-05,
3136
+ "loss": 0.0019,
3137
+ "step": 209
3138
+ },
3139
+ {
3140
+ "epoch": 11.0,
3141
+ "eval_loss": 0.0006293568876571953,
3142
+ "eval_runtime": 3.3933,
3143
+ "eval_samples_per_second": 8.841,
3144
+ "eval_steps_per_second": 1.179,
3145
+ "step": 209
3146
+ },
3147
+ {
3148
+ "epoch": 11.052631578947368,
3149
+ "grad_norm": 0.006855803541839123,
3150
+ "learning_rate": 3.662197502872885e-05,
3151
+ "loss": 0.0004,
3152
+ "step": 210
3153
+ },
3154
+ {
3155
+ "epoch": 11.052631578947368,
3156
+ "eval_loss": 0.0006222613155841827,
3157
+ "eval_runtime": 3.3927,
3158
+ "eval_samples_per_second": 8.843,
3159
+ "eval_steps_per_second": 1.179,
3160
+ "step": 210
3161
+ },
3162
+ {
3163
+ "epoch": 11.105263157894736,
3164
+ "grad_norm": 0.009028893895447254,
3165
+ "learning_rate": 3.489960518496521e-05,
3166
+ "loss": 0.0005,
3167
+ "step": 211
3168
+ },
3169
+ {
3170
+ "epoch": 11.105263157894736,
3171
+ "eval_loss": 0.0006085150525905192,
3172
+ "eval_runtime": 3.3748,
3173
+ "eval_samples_per_second": 8.89,
3174
+ "eval_steps_per_second": 1.185,
3175
+ "step": 211
3176
+ },
3177
+ {
3178
+ "epoch": 11.157894736842104,
3179
+ "grad_norm": 0.02355123870074749,
3180
+ "learning_rate": 3.321567670265568e-05,
3181
+ "loss": 0.0015,
3182
+ "step": 212
3183
+ },
3184
+ {
3185
+ "epoch": 11.157894736842104,
3186
+ "eval_loss": 0.000603480904828757,
3187
+ "eval_runtime": 3.3947,
3188
+ "eval_samples_per_second": 8.837,
3189
+ "eval_steps_per_second": 1.178,
3190
+ "step": 212
3191
+ },
3192
+ {
3193
+ "epoch": 11.210526315789474,
3194
+ "grad_norm": 0.011118754744529724,
3195
+ "learning_rate": 3.157049052268662e-05,
3196
+ "loss": 0.0005,
3197
+ "step": 213
3198
+ },
3199
+ {
3200
+ "epoch": 11.210526315789474,
3201
+ "eval_loss": 0.0005958045367151499,
3202
+ "eval_runtime": 3.4059,
3203
+ "eval_samples_per_second": 8.808,
3204
+ "eval_steps_per_second": 1.174,
3205
+ "step": 213
3206
+ },
3207
+ {
3208
+ "epoch": 11.263157894736842,
3209
+ "grad_norm": 0.009967654012143612,
3210
+ "learning_rate": 2.9964340662168772e-05,
3211
+ "loss": 0.0005,
3212
+ "step": 214
3213
+ },
3214
+ {
3215
+ "epoch": 11.263157894736842,
3216
+ "eval_loss": 0.0005862968391738832,
3217
+ "eval_runtime": 3.4249,
3218
+ "eval_samples_per_second": 8.759,
3219
+ "eval_steps_per_second": 1.168,
3220
+ "step": 214
3221
+ },
3222
+ {
3223
+ "epoch": 11.31578947368421,
3224
+ "grad_norm": 0.010085620917379856,
3225
+ "learning_rate": 2.8397514161892484e-05,
3226
+ "loss": 0.0006,
3227
+ "step": 215
3228
+ },
3229
+ {
3230
+ "epoch": 11.31578947368421,
3231
+ "eval_loss": 0.0005840694066137075,
3232
+ "eval_runtime": 3.4125,
3233
+ "eval_samples_per_second": 8.791,
3234
+ "eval_steps_per_second": 1.172,
3235
+ "step": 215
3236
+ },
3237
+ {
3238
+ "epoch": 11.368421052631579,
3239
+ "grad_norm": 0.010143388994038105,
3240
+ "learning_rate": 2.687029103502972e-05,
3241
+ "loss": 0.0006,
3242
+ "step": 216
3243
+ },
3244
+ {
3245
+ "epoch": 11.368421052631579,
3246
+ "eval_loss": 0.0005839812220074236,
3247
+ "eval_runtime": 3.4075,
3248
+ "eval_samples_per_second": 8.804,
3249
+ "eval_steps_per_second": 1.174,
3250
+ "step": 216
3251
+ },
3252
+ {
3253
+ "epoch": 11.421052631578947,
3254
+ "grad_norm": 0.019067654386162758,
3255
+ "learning_rate": 2.5382944217091723e-05,
3256
+ "loss": 0.0008,
3257
+ "step": 217
3258
+ },
3259
+ {
3260
+ "epoch": 11.421052631578947,
3261
+ "eval_loss": 0.0005800244980491698,
3262
+ "eval_runtime": 3.4001,
3263
+ "eval_samples_per_second": 8.823,
3264
+ "eval_steps_per_second": 1.176,
3265
+ "step": 217
3266
+ },
3267
+ {
3268
+ "epoch": 11.473684210526315,
3269
+ "grad_norm": 0.007881615310907364,
3270
+ "learning_rate": 2.3935739517151916e-05,
3271
+ "loss": 0.0004,
3272
+ "step": 218
3273
+ },
3274
+ {
3275
+ "epoch": 11.473684210526315,
3276
+ "eval_loss": 0.0005629901424981654,
3277
+ "eval_runtime": 3.3819,
3278
+ "eval_samples_per_second": 8.871,
3279
+ "eval_steps_per_second": 1.183,
3280
+ "step": 218
3281
+ },
3282
+ {
3283
+ "epoch": 11.526315789473685,
3284
+ "grad_norm": 0.009564298205077648,
3285
+ "learning_rate": 2.2528935570342164e-05,
3286
+ "loss": 0.0006,
3287
+ "step": 219
3288
+ },
3289
+ {
3290
+ "epoch": 11.526315789473685,
3291
+ "eval_loss": 0.0005525622400455177,
3292
+ "eval_runtime": 3.3902,
3293
+ "eval_samples_per_second": 8.849,
3294
+ "eval_steps_per_second": 1.18,
3295
+ "step": 219
3296
+ },
3297
+ {
3298
+ "epoch": 11.578947368421053,
3299
+ "grad_norm": 0.0062964498065412045,
3300
+ "learning_rate": 2.1162783791631057e-05,
3301
+ "loss": 0.0004,
3302
+ "step": 220
3303
+ },
3304
+ {
3305
+ "epoch": 11.578947368421053,
3306
+ "eval_loss": 0.0005619211588054895,
3307
+ "eval_runtime": 3.3945,
3308
+ "eval_samples_per_second": 8.838,
3309
+ "eval_steps_per_second": 1.178,
3310
+ "step": 220
3311
+ },
3312
+ {
3313
+ "epoch": 11.631578947368421,
3314
+ "grad_norm": 0.008192476816475391,
3315
+ "learning_rate": 1.9837528330892778e-05,
3316
+ "loss": 0.0006,
3317
+ "step": 221
3318
+ },
3319
+ {
3320
+ "epoch": 11.631578947368421,
3321
+ "eval_loss": 0.0005546014290302992,
3322
+ "eval_runtime": 3.3765,
3323
+ "eval_samples_per_second": 8.885,
3324
+ "eval_steps_per_second": 1.185,
3325
+ "step": 221
3326
+ },
3327
+ {
3328
+ "epoch": 11.68421052631579,
3329
+ "grad_norm": 0.04483268782496452,
3330
+ "learning_rate": 1.8553406029274188e-05,
3331
+ "loss": 0.0018,
3332
+ "step": 222
3333
+ },
3334
+ {
3335
+ "epoch": 11.68421052631579,
3336
+ "eval_loss": 0.0005540356505662203,
3337
+ "eval_runtime": 3.396,
3338
+ "eval_samples_per_second": 8.834,
3339
+ "eval_steps_per_second": 1.178,
3340
+ "step": 222
3341
+ },
3342
+ {
3343
+ "epoch": 11.736842105263158,
3344
+ "grad_norm": 0.03096887841820717,
3345
+ "learning_rate": 1.7310646376867885e-05,
3346
+ "loss": 0.0014,
3347
+ "step": 223
3348
+ },
3349
+ {
3350
+ "epoch": 11.736842105263158,
3351
+ "eval_loss": 0.0005506525631062686,
3352
+ "eval_runtime": 3.4241,
3353
+ "eval_samples_per_second": 8.761,
3354
+ "eval_steps_per_second": 1.168,
3355
+ "step": 223
3356
+ },
3357
+ {
3358
+ "epoch": 11.789473684210526,
3359
+ "grad_norm": 0.03000456467270851,
3360
+ "learning_rate": 1.6109471471699556e-05,
3361
+ "loss": 0.0012,
3362
+ "step": 224
3363
+ },
3364
+ {
3365
+ "epoch": 11.789473684210526,
3366
+ "eval_loss": 0.0005523088038899004,
3367
+ "eval_runtime": 3.4328,
3368
+ "eval_samples_per_second": 8.739,
3369
+ "eval_steps_per_second": 1.165,
3370
+ "step": 224
3371
+ },
3372
+ {
3373
+ "epoch": 11.842105263157894,
3374
+ "grad_norm": 0.053873490542173386,
3375
+ "learning_rate": 1.4950095980035772e-05,
3376
+ "loss": 0.0025,
3377
+ "step": 225
3378
+ },
3379
+ {
3380
+ "epoch": 11.842105263157894,
3381
+ "eval_loss": 0.0005435250350274146,
3382
+ "eval_runtime": 3.4151,
3383
+ "eval_samples_per_second": 8.784,
3384
+ "eval_steps_per_second": 1.171,
3385
+ "step": 225
3386
+ },
3387
+ {
3388
+ "epoch": 11.894736842105264,
3389
+ "grad_norm": 0.03556260094046593,
3390
+ "learning_rate": 1.3832727098020331e-05,
3391
+ "loss": 0.0013,
3392
+ "step": 226
3393
+ },
3394
+ {
3395
+ "epoch": 11.894736842105264,
3396
+ "eval_loss": 0.0005410811281763017,
3397
+ "eval_runtime": 3.4083,
3398
+ "eval_samples_per_second": 8.802,
3399
+ "eval_steps_per_second": 1.174,
3400
+ "step": 226
3401
+ },
3402
+ {
3403
+ "epoch": 11.947368421052632,
3404
+ "grad_norm": 0.006391770672053099,
3405
+ "learning_rate": 1.2757564514645492e-05,
3406
+ "loss": 0.0004,
3407
+ "step": 227
3408
+ },
3409
+ {
3410
+ "epoch": 11.947368421052632,
3411
+ "eval_loss": 0.0005350796855054796,
3412
+ "eval_runtime": 3.3999,
3413
+ "eval_samples_per_second": 8.824,
3414
+ "eval_steps_per_second": 1.176,
3415
+ "step": 227
3416
+ },
3417
+ {
3418
+ "epoch": 12.0,
3419
+ "grad_norm": 0.007496091071516275,
3420
+ "learning_rate": 1.1724800376064798e-05,
3421
+ "loss": 0.0005,
3422
+ "step": 228
3423
+ },
3424
+ {
3425
+ "epoch": 12.0,
3426
+ "eval_loss": 0.0005355457542464137,
3427
+ "eval_runtime": 3.394,
3428
+ "eval_samples_per_second": 8.839,
3429
+ "eval_steps_per_second": 1.179,
3430
+ "step": 228
3431
+ },
3432
+ {
3433
+ "epoch": 12.052631578947368,
3434
+ "grad_norm": 0.006685596890747547,
3435
+ "learning_rate": 1.0734619251253963e-05,
3436
+ "loss": 0.0004,
3437
+ "step": 229
3438
+ },
3439
+ {
3440
+ "epoch": 12.052631578947368,
3441
+ "eval_loss": 0.0005336673348210752,
3442
+ "eval_runtime": 3.3873,
3443
+ "eval_samples_per_second": 8.857,
3444
+ "eval_steps_per_second": 1.181,
3445
+ "step": 229
3446
+ },
3447
+ {
3448
+ "epoch": 12.105263157894736,
3449
+ "grad_norm": 0.006534907501190901,
3450
+ "learning_rate": 9.78719809902598e-06,
3451
+ "loss": 0.0004,
3452
+ "step": 230
3453
+ },
3454
+ {
3455
+ "epoch": 12.105263157894736,
3456
+ "eval_loss": 0.0005313738365657628,
3457
+ "eval_runtime": 3.3913,
3458
+ "eval_samples_per_second": 8.846,
3459
+ "eval_steps_per_second": 1.179,
3460
+ "step": 230
3461
+ },
3462
+ {
3463
+ "epoch": 12.157894736842104,
3464
+ "grad_norm": 0.009226418100297451,
3465
+ "learning_rate": 8.882706236405884e-06,
3466
+ "loss": 0.0006,
3467
+ "step": 231
3468
+ },
3469
+ {
3470
+ "epoch": 12.157894736842104,
3471
+ "eval_loss": 0.0005278772441670299,
3472
+ "eval_runtime": 3.3771,
3473
+ "eval_samples_per_second": 8.883,
3474
+ "eval_steps_per_second": 1.184,
3475
+ "step": 231
3476
+ },
3477
+ {
3478
+ "epoch": 12.210526315789474,
3479
+ "grad_norm": 0.06117768958210945,
3480
+ "learning_rate": 8.02130530837189e-06,
3481
+ "loss": 0.0028,
3482
+ "step": 232
3483
+ },
3484
+ {
3485
+ "epoch": 12.210526315789474,
3486
+ "eval_loss": 0.0005292578716762364,
3487
+ "eval_runtime": 3.3878,
3488
+ "eval_samples_per_second": 8.855,
3489
+ "eval_steps_per_second": 1.181,
3490
+ "step": 232
3491
+ },
3492
+ {
3493
+ "epoch": 12.263157894736842,
3494
+ "grad_norm": 0.007965135388076305,
3495
+ "learning_rate": 7.203149258967034e-06,
3496
+ "loss": 0.0005,
3497
+ "step": 233
3498
+ },
3499
+ {
3500
+ "epoch": 12.263157894736842,
3501
+ "eval_loss": 0.0005250571412034333,
3502
+ "eval_runtime": 3.4063,
3503
+ "eval_samples_per_second": 8.807,
3504
+ "eval_steps_per_second": 1.174,
3505
+ "step": 233
3506
+ },
3507
+ {
3508
+ "epoch": 12.31578947368421,
3509
+ "grad_norm": 0.03267819434404373,
3510
+ "learning_rate": 6.428384303787282e-06,
3511
+ "loss": 0.0012,
3512
+ "step": 234
3513
+ },
3514
+ {
3515
+ "epoch": 12.31578947368421,
3516
+ "eval_loss": 0.0005264608189463615,
3517
+ "eval_runtime": 3.4112,
3518
+ "eval_samples_per_second": 8.795,
3519
+ "eval_steps_per_second": 1.173,
3520
+ "step": 234
3521
+ },
3522
+ {
3523
+ "epoch": 12.368421052631579,
3524
+ "grad_norm": 0.008882233873009682,
3525
+ "learning_rate": 5.697148903850868e-06,
3526
+ "loss": 0.0006,
3527
+ "step": 235
3528
+ },
3529
+ {
3530
+ "epoch": 12.368421052631579,
3531
+ "eval_loss": 0.0005261496989987791,
3532
+ "eval_runtime": 3.4163,
3533
+ "eval_samples_per_second": 8.781,
3534
+ "eval_steps_per_second": 1.171,
3535
+ "step": 235
3536
+ },
3537
+ {
3538
+ "epoch": 12.421052631578947,
3539
+ "grad_norm": 0.009687397629022598,
3540
+ "learning_rate": 5.009573740853312e-06,
3541
+ "loss": 0.0007,
3542
+ "step": 236
3543
+ },
3544
+ {
3545
+ "epoch": 12.421052631578947,
3546
+ "eval_loss": 0.0005241932813078165,
3547
+ "eval_runtime": 3.4093,
3548
+ "eval_samples_per_second": 8.8,
3549
+ "eval_steps_per_second": 1.173,
3550
+ "step": 236
3551
+ },
3552
+ {
3553
+ "epoch": 12.473684210526315,
3554
+ "grad_norm": 0.008641810156404972,
3555
+ "learning_rate": 4.365781693813048e-06,
3556
+ "loss": 0.0006,
3557
+ "step": 237
3558
+ },
3559
+ {
3560
+ "epoch": 12.473684210526315,
3561
+ "eval_loss": 0.0005225687636993825,
3562
+ "eval_runtime": 3.4036,
3563
+ "eval_samples_per_second": 8.814,
3564
+ "eval_steps_per_second": 1.175,
3565
+ "step": 237
3566
+ },
3567
+ {
3568
+ "epoch": 12.526315789473685,
3569
+ "grad_norm": 0.012136328965425491,
3570
+ "learning_rate": 3.765887817111069e-06,
3571
+ "loss": 0.0006,
3572
+ "step": 238
3573
+ },
3574
+ {
3575
+ "epoch": 12.526315789473685,
3576
+ "eval_loss": 0.0005242796614766121,
3577
+ "eval_runtime": 3.3861,
3578
+ "eval_samples_per_second": 8.86,
3579
+ "eval_steps_per_second": 1.181,
3580
+ "step": 238
3581
+ },
3582
+ {
3583
+ "epoch": 12.578947368421053,
3584
+ "grad_norm": 0.005833880975842476,
3585
+ "learning_rate": 3.2099993199292688e-06,
3586
+ "loss": 0.0004,
3587
+ "step": 239
3588
+ },
3589
+ {
3590
+ "epoch": 12.578947368421053,
3591
+ "eval_loss": 0.0005251504480838776,
3592
+ "eval_runtime": 3.3792,
3593
+ "eval_samples_per_second": 8.878,
3594
+ "eval_steps_per_second": 1.184,
3595
+ "step": 239
3596
+ },
3597
+ {
3598
+ "epoch": 12.631578947368421,
3599
+ "grad_norm": 0.01102867815643549,
3600
+ "learning_rate": 2.698215547090599e-06,
3601
+ "loss": 0.0006,
3602
+ "step": 240
3603
+ },
3604
+ {
3605
+ "epoch": 12.631578947368421,
3606
+ "eval_loss": 0.0005198249127715826,
3607
+ "eval_runtime": 3.38,
3608
+ "eval_samples_per_second": 8.876,
3609
+ "eval_steps_per_second": 1.183,
3610
+ "step": 240
3611
+ },
3612
+ {
3613
+ "epoch": 12.68421052631579,
3614
+ "grad_norm": 0.02008400671184063,
3615
+ "learning_rate": 2.230627961304993e-06,
3616
+ "loss": 0.0011,
3617
+ "step": 241
3618
+ },
3619
+ {
3620
+ "epoch": 12.68421052631579,
3621
+ "eval_loss": 0.0005216759163886309,
3622
+ "eval_runtime": 3.3907,
3623
+ "eval_samples_per_second": 8.848,
3624
+ "eval_steps_per_second": 1.18,
3625
+ "step": 241
3626
+ },
3627
+ {
3628
+ "epoch": 12.736842105263158,
3629
+ "grad_norm": 0.033516351133584976,
3630
+ "learning_rate": 1.807320126823414e-06,
3631
+ "loss": 0.0014,
3632
+ "step": 242
3633
+ },
3634
+ {
3635
+ "epoch": 12.736842105263158,
3636
+ "eval_loss": 0.0005153545062057674,
3637
+ "eval_runtime": 3.4033,
3638
+ "eval_samples_per_second": 8.815,
3639
+ "eval_steps_per_second": 1.175,
3640
+ "step": 242
3641
+ },
3642
+ {
3643
+ "epoch": 12.789473684210526,
3644
+ "grad_norm": 0.0054031675681471825,
3645
+ "learning_rate": 1.4283676945041346e-06,
3646
+ "loss": 0.0003,
3647
+ "step": 243
3648
+ },
3649
+ {
3650
+ "epoch": 12.789473684210526,
3651
+ "eval_loss": 0.000516153231728822,
3652
+ "eval_runtime": 3.4157,
3653
+ "eval_samples_per_second": 8.783,
3654
+ "eval_steps_per_second": 1.171,
3655
+ "step": 243
3656
+ },
3657
+ {
3658
+ "epoch": 12.842105263157894,
3659
+ "grad_norm": 0.026906250044703484,
3660
+ "learning_rate": 1.0938383882926617e-06,
3661
+ "loss": 0.0009,
3662
+ "step": 244
3663
+ },
3664
+ {
3665
+ "epoch": 12.842105263157894,
3666
+ "eval_loss": 0.0005240263999439776,
3667
+ "eval_runtime": 3.4082,
3668
+ "eval_samples_per_second": 8.802,
3669
+ "eval_steps_per_second": 1.174,
3670
+ "step": 244
3671
+ },
3672
+ {
3673
+ "epoch": 12.894736842105264,
3674
+ "grad_norm": 0.006174022331833839,
3675
+ "learning_rate": 8.037919931187243e-07,
3676
+ "loss": 0.0003,
3677
+ "step": 245
3678
+ },
3679
+ {
3680
+ "epoch": 12.894736842105264,
3681
+ "eval_loss": 0.0005176598788239062,
3682
+ "eval_runtime": 3.409,
3683
+ "eval_samples_per_second": 8.8,
3684
+ "eval_steps_per_second": 1.173,
3685
+ "step": 245
3686
+ },
3687
+ {
3688
+ "epoch": 12.947368421052632,
3689
+ "grad_norm": 0.032558590173721313,
3690
+ "learning_rate": 5.582803442117091e-07,
3691
+ "loss": 0.0011,
3692
+ "step": 246
3693
+ },
3694
+ {
3695
+ "epoch": 12.947368421052632,
3696
+ "eval_loss": 0.0005180027801543474,
3697
+ "eval_runtime": 3.4063,
3698
+ "eval_samples_per_second": 8.807,
3699
+ "eval_steps_per_second": 1.174,
3700
+ "step": 246
3701
+ },
3702
+ {
3703
+ "epoch": 13.0,
3704
+ "grad_norm": 0.009496565908193588,
3705
+ "learning_rate": 3.5734731783715333e-07,
3706
+ "loss": 0.0007,
3707
+ "step": 247
3708
+ },
3709
+ {
3710
+ "epoch": 13.0,
3711
+ "eval_loss": 0.0005225887871347368,
3712
+ "eval_runtime": 3.3988,
3713
+ "eval_samples_per_second": 8.827,
3714
+ "eval_steps_per_second": 1.177,
3715
+ "step": 247
3716
+ },
3717
+ {
3718
+ "epoch": 13.052631578947368,
3719
+ "grad_norm": 0.03507193550467491,
3720
+ "learning_rate": 2.0102882345540696e-07,
3721
+ "loss": 0.0014,
3722
+ "step": 248
3723
+ },
3724
+ {
3725
+ "epoch": 13.052631578947368,
3726
+ "eval_loss": 0.0005245525971986353,
3727
+ "eval_runtime": 3.398,
3728
+ "eval_samples_per_second": 8.829,
3729
+ "eval_steps_per_second": 1.177,
3730
+ "step": 248
3731
+ },
3732
+ {
3733
+ "epoch": 13.105263157894736,
3734
+ "grad_norm": 0.007154720835387707,
3735
+ "learning_rate": 8.935279730407086e-08,
3736
+ "loss": 0.0004,
3737
+ "step": 249
3738
+ },
3739
+ {
3740
+ "epoch": 13.105263157894736,
3741
+ "eval_loss": 0.0005229982198216021,
3742
+ "eval_runtime": 3.3921,
3743
+ "eval_samples_per_second": 8.844,
3744
+ "eval_steps_per_second": 1.179,
3745
+ "step": 249
3746
+ },
3747
+ {
3748
+ "epoch": 13.157894736842104,
3749
+ "grad_norm": 0.007874587550759315,
3750
+ "learning_rate": 2.2339197405490953e-08,
3751
+ "loss": 0.0005,
3752
+ "step": 250
3753
+ },
3754
+ {
3755
+ "epoch": 13.157894736842104,
3756
+ "eval_loss": 0.0005229749367572367,
3757
+ "eval_runtime": 3.3804,
3758
+ "eval_samples_per_second": 8.875,
3759
+ "eval_steps_per_second": 1.183,
3760
+ "step": 250
3761
  }
3762
  ],
3763
  "logging_steps": 1,
 
3772
  "should_evaluate": false,
3773
  "should_log": false,
3774
  "should_save": true,
3775
+ "should_training_stop": true
3776
  },
3777
  "attributes": {}
3778
  }
3779
  },
3780
+ "total_flos": 1.0652124028778496e+16,
3781
  "train_batch_size": 1,
3782
  "trial_name": null,
3783
  "trial_params": null