Instructions to use T0KII/MASRIBERTv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use T0KII/MASRIBERTv3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="T0KII/MASRIBERTv3")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("T0KII/MASRIBERTv3") model = AutoModelForMaskedLM.from_pretrained("T0KII/MASRIBERTv3") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_global_step": 18000, | |
| "best_metric": 4.319030284881592, | |
| "best_model_checkpoint": "/kaggle/working/MASRIBERTv3_ckpts/checkpoint-18000", | |
| "epoch": 2.705625916043444, | |
| "eval_steps": 1000, | |
| "global_step": 18000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.03758126949528355, | |
| "grad_norm": 104.15485382080078, | |
| "learning_rate": 4.680451127819549e-06, | |
| "loss": 82.7376953125, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.0751625389905671, | |
| "grad_norm": 95.12043762207031, | |
| "learning_rate": 9.3796992481203e-06, | |
| "loss": 71.7012734375, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.11274380848585065, | |
| "grad_norm": 104.137451171875, | |
| "learning_rate": 1.4078947368421053e-05, | |
| "loss": 64.50540625, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 0.1503250779811342, | |
| "grad_norm": 100.89773559570312, | |
| "learning_rate": 1.8778195488721807e-05, | |
| "loss": 61.0135390625, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.1503250779811342, | |
| "eval_loss": 7.187783241271973, | |
| "eval_runtime": 245.496, | |
| "eval_samples_per_second": 70.07, | |
| "eval_steps_per_second": 1.096, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.18790634747641774, | |
| "grad_norm": 108.36956024169922, | |
| "learning_rate": 2.3477443609022555e-05, | |
| "loss": 58.785421875, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 0.2254876169717013, | |
| "grad_norm": 111.00702667236328, | |
| "learning_rate": 2.8176691729323312e-05, | |
| "loss": 56.1699921875, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.26306888646698484, | |
| "grad_norm": 102.0089111328125, | |
| "learning_rate": 3.287593984962406e-05, | |
| "loss": 54.32422265625, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 0.3006501559622684, | |
| "grad_norm": 107.5756607055664, | |
| "learning_rate": 3.7575187969924814e-05, | |
| "loss": 52.7279453125, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.3006501559622684, | |
| "eval_loss": 6.232546329498291, | |
| "eval_runtime": 245.4165, | |
| "eval_samples_per_second": 70.093, | |
| "eval_steps_per_second": 1.096, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.33823142545755197, | |
| "grad_norm": 97.99393463134766, | |
| "learning_rate": 4.2274436090225565e-05, | |
| "loss": 51.351296875, | |
| "step": 2250 | |
| }, | |
| { | |
| "epoch": 0.3758126949528355, | |
| "grad_norm": 95.21705627441406, | |
| "learning_rate": 4.697368421052632e-05, | |
| "loss": 50.12950390625, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.41339396444811904, | |
| "grad_norm": 109.60403442382812, | |
| "learning_rate": 4.999829666027942e-05, | |
| "loss": 49.0492109375, | |
| "step": 2750 | |
| }, | |
| { | |
| "epoch": 0.4509752339434026, | |
| "grad_norm": 94.4717025756836, | |
| "learning_rate": 4.997529106447553e-05, | |
| "loss": 48.00233984375, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.4509752339434026, | |
| "eval_loss": 5.684965133666992, | |
| "eval_runtime": 245.4233, | |
| "eval_samples_per_second": 70.091, | |
| "eval_steps_per_second": 1.096, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.4885565034386862, | |
| "grad_norm": 100.90162658691406, | |
| "learning_rate": 4.9925434012594344e-05, | |
| "loss": 46.94662109375, | |
| "step": 3250 | |
| }, | |
| { | |
| "epoch": 0.5261377729339697, | |
| "grad_norm": 97.686767578125, | |
| "learning_rate": 4.9848779106991685e-05, | |
| "loss": 46.1941953125, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.5637190424292533, | |
| "grad_norm": 85.13678741455078, | |
| "learning_rate": 4.974540876095457e-05, | |
| "loss": 45.45590234375, | |
| "step": 3750 | |
| }, | |
| { | |
| "epoch": 0.6013003119245368, | |
| "grad_norm": 88.05296325683594, | |
| "learning_rate": 4.9615434110096976e-05, | |
| "loss": 44.72342578125, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.6013003119245368, | |
| "eval_loss": 5.337510108947754, | |
| "eval_runtime": 245.395, | |
| "eval_samples_per_second": 70.099, | |
| "eval_steps_per_second": 1.096, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.6388815814198203, | |
| "grad_norm": 85.22454833984375, | |
| "learning_rate": 4.6920337276199595e-05, | |
| "loss": 44.36359375, | |
| "step": 4250 | |
| }, | |
| { | |
| "epoch": 0.6764628509151039, | |
| "grad_norm": 89.28252410888672, | |
| "learning_rate": 4.6556074961301624e-05, | |
| "loss": 43.84180859375, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 0.7140441204103875, | |
| "grad_norm": 88.03447723388672, | |
| "learning_rate": 4.617303838350222e-05, | |
| "loss": 43.3140625, | |
| "step": 4750 | |
| }, | |
| { | |
| "epoch": 0.751625389905671, | |
| "grad_norm": 82.08790588378906, | |
| "learning_rate": 4.57715611484984e-05, | |
| "loss": 42.943515625, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.751625389905671, | |
| "eval_loss": 5.109297752380371, | |
| "eval_runtime": 246.4709, | |
| "eval_samples_per_second": 69.793, | |
| "eval_steps_per_second": 1.091, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.7892066594009546, | |
| "grad_norm": 86.16392517089844, | |
| "learning_rate": 4.535199292287709e-05, | |
| "loss": 42.626734375, | |
| "step": 5250 | |
| }, | |
| { | |
| "epoch": 0.8267879288962381, | |
| "grad_norm": 87.34744262695312, | |
| "learning_rate": 4.491469912957297e-05, | |
| "loss": 42.33, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 0.8643691983915217, | |
| "grad_norm": 79.0370101928711, | |
| "learning_rate": 4.4460060629603434e-05, | |
| "loss": 41.88755078125, | |
| "step": 5750 | |
| }, | |
| { | |
| "epoch": 0.9019504678868052, | |
| "grad_norm": 83.2159423828125, | |
| "learning_rate": 4.398847339035767e-05, | |
| "loss": 41.65294140625, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.9019504678868052, | |
| "eval_loss": 4.957474231719971, | |
| "eval_runtime": 239.2537, | |
| "eval_samples_per_second": 71.899, | |
| "eval_steps_per_second": 1.124, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.9395317373820887, | |
| "grad_norm": 82.08615112304688, | |
| "learning_rate": 4.350034814072887e-05, | |
| "loss": 41.38473828125, | |
| "step": 6250 | |
| }, | |
| { | |
| "epoch": 0.9771130068773723, | |
| "grad_norm": 86.85932922363281, | |
| "learning_rate": 4.299611001338994e-05, | |
| "loss": 41.04867578125, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 1.01458153256417, | |
| "grad_norm": 91.38688659667969, | |
| "learning_rate": 4.2476198174524166e-05, | |
| "loss": 40.55618359375, | |
| "step": 6750 | |
| }, | |
| { | |
| "epoch": 1.0521628020594536, | |
| "grad_norm": 87.19780731201172, | |
| "learning_rate": 4.194106544133346e-05, | |
| "loss": 40.355609375, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 1.0521628020594536, | |
| "eval_loss": 4.834552764892578, | |
| "eval_runtime": 239.8672, | |
| "eval_samples_per_second": 71.715, | |
| "eval_steps_per_second": 1.121, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 1.089744071554737, | |
| "grad_norm": 90.9477767944336, | |
| "learning_rate": 4.1391177887657266e-05, | |
| "loss": 40.2546953125, | |
| "step": 7250 | |
| }, | |
| { | |
| "epoch": 1.1273253410500206, | |
| "grad_norm": 77.87168884277344, | |
| "learning_rate": 4.08270144380455e-05, | |
| "loss": 39.96091015625, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 1.1649066105453043, | |
| "grad_norm": 90.72994995117188, | |
| "learning_rate": 4.024906645063925e-05, | |
| "loss": 39.95100390625, | |
| "step": 7750 | |
| }, | |
| { | |
| "epoch": 1.2024878800405878, | |
| "grad_norm": 78.02538299560547, | |
| "learning_rate": 3.965783728922245e-05, | |
| "loss": 39.549375, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 1.2024878800405878, | |
| "eval_loss": 4.758424758911133, | |
| "eval_runtime": 238.4738, | |
| "eval_samples_per_second": 72.134, | |
| "eval_steps_per_second": 1.128, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 1.2400691495358713, | |
| "grad_norm": 94.54589080810547, | |
| "learning_rate": 3.905384188481714e-05, | |
| "loss": 39.47437890625, | |
| "step": 8250 | |
| }, | |
| { | |
| "epoch": 1.2776504190311548, | |
| "grad_norm": 84.85308837890625, | |
| "learning_rate": 3.843760628720439e-05, | |
| "loss": 39.3814765625, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 1.3152316885264383, | |
| "grad_norm": 80.48727416992188, | |
| "learning_rate": 3.7809667206761164e-05, | |
| "loss": 39.18900390625, | |
| "step": 8750 | |
| }, | |
| { | |
| "epoch": 1.352812958021722, | |
| "grad_norm": 79.16352844238281, | |
| "learning_rate": 3.717057154701251e-05, | |
| "loss": 39.15230859375, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 1.352812958021722, | |
| "eval_loss": 4.669365406036377, | |
| "eval_runtime": 240.8713, | |
| "eval_samples_per_second": 71.416, | |
| "eval_steps_per_second": 1.117, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 1.3903942275170056, | |
| "grad_norm": 81.47567749023438, | |
| "learning_rate": 3.6520875928305904e-05, | |
| "loss": 38.7915625, | |
| "step": 9250 | |
| }, | |
| { | |
| "epoch": 1.427975497012289, | |
| "grad_norm": 79.67969512939453, | |
| "learning_rate": 3.58611462030228e-05, | |
| "loss": 38.70076953125, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 1.4655567665075726, | |
| "grad_norm": 78.06887817382812, | |
| "learning_rate": 3.5191956962749483e-05, | |
| "loss": 38.5454296875, | |
| "step": 9750 | |
| }, | |
| { | |
| "epoch": 1.5031380360028561, | |
| "grad_norm": 81.57176971435547, | |
| "learning_rate": 3.4513891037836586e-05, | |
| "loss": 38.56761328125, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 1.5031380360028561, | |
| "eval_loss": 4.5992112159729, | |
| "eval_runtime": 240.6841, | |
| "eval_samples_per_second": 71.471, | |
| "eval_steps_per_second": 1.118, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 1.5407193054981398, | |
| "grad_norm": 76.18035888671875, | |
| "learning_rate": 3.382753898978297e-05, | |
| "loss": 38.34355859375, | |
| "step": 10250 | |
| }, | |
| { | |
| "epoch": 1.5783005749934231, | |
| "grad_norm": 77.42598724365234, | |
| "learning_rate": 3.313349859688622e-05, | |
| "loss": 38.3613984375, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 1.6158818444887069, | |
| "grad_norm": 83.92522430419922, | |
| "learning_rate": 3.2432374333607674e-05, | |
| "loss": 38.15187890625, | |
| "step": 10750 | |
| }, | |
| { | |
| "epoch": 1.6534631139839904, | |
| "grad_norm": 80.59062957763672, | |
| "learning_rate": 3.172477684410535e-05, | |
| "loss": 38.12749609375, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 1.6534631139839904, | |
| "eval_loss": 4.554149150848389, | |
| "eval_runtime": 240.8324, | |
| "eval_samples_per_second": 71.427, | |
| "eval_steps_per_second": 1.117, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 1.6910443834792739, | |
| "grad_norm": 84.59385681152344, | |
| "learning_rate": 3.1011322410393507e-05, | |
| "loss": 38.04288671875, | |
| "step": 11250 | |
| }, | |
| { | |
| "epoch": 1.7286256529745576, | |
| "grad_norm": 78.90901947021484, | |
| "learning_rate": 3.0292632415591782e-05, | |
| "loss": 37.87243359375, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 1.766206922469841, | |
| "grad_norm": 82.36697387695312, | |
| "learning_rate": 2.95693328027316e-05, | |
| "loss": 37.75355859375, | |
| "step": 11750 | |
| }, | |
| { | |
| "epoch": 1.8037881919651246, | |
| "grad_norm": 75.0630874633789, | |
| "learning_rate": 2.884205352959113e-05, | |
| "loss": 37.58091796875, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 1.8037881919651246, | |
| "eval_loss": 4.493417263031006, | |
| "eval_runtime": 240.8882, | |
| "eval_samples_per_second": 71.411, | |
| "eval_steps_per_second": 1.117, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 1.8413694614604081, | |
| "grad_norm": 79.44371032714844, | |
| "learning_rate": 2.8111428020033515e-05, | |
| "loss": 37.55409375, | |
| "step": 12250 | |
| }, | |
| { | |
| "epoch": 1.8789507309556917, | |
| "grad_norm": 74.53401947021484, | |
| "learning_rate": 2.7378092612326463e-05, | |
| "loss": 37.37219140625, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 1.9165320004509754, | |
| "grad_norm": 84.87117767333984, | |
| "learning_rate": 2.6642686004923362e-05, | |
| "loss": 37.2856171875, | |
| "step": 12750 | |
| }, | |
| { | |
| "epoch": 1.9541132699462587, | |
| "grad_norm": 82.84407806396484, | |
| "learning_rate": 2.590584870018894e-05, | |
| "loss": 37.37483984375, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 1.9541132699462587, | |
| "eval_loss": 4.470274925231934, | |
| "eval_runtime": 211.1559, | |
| "eval_samples_per_second": 81.466, | |
| "eval_steps_per_second": 1.274, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 1.9916945394415424, | |
| "grad_norm": 77.57933807373047, | |
| "learning_rate": 2.5168222446553714e-05, | |
| "loss": 37.2361953125, | |
| "step": 13250 | |
| }, | |
| { | |
| "epoch": 2.02916306512834, | |
| "grad_norm": 89.35295104980469, | |
| "learning_rate": 2.443044967958324e-05, | |
| "loss": 36.6822734375, | |
| "step": 13500 | |
| }, | |
| { | |
| "epoch": 2.0667443346236234, | |
| "grad_norm": 79.35661315917969, | |
| "learning_rate": 2.3693172962448842e-05, | |
| "loss": 36.6494375, | |
| "step": 13750 | |
| }, | |
| { | |
| "epoch": 2.104325604118907, | |
| "grad_norm": 78.58153533935547, | |
| "learning_rate": 2.295703442628727e-05, | |
| "loss": 36.6395859375, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 2.104325604118907, | |
| "eval_loss": 4.428871154785156, | |
| "eval_runtime": 210.9857, | |
| "eval_samples_per_second": 81.532, | |
| "eval_steps_per_second": 1.275, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 2.141906873614191, | |
| "grad_norm": 83.40979766845703, | |
| "learning_rate": 2.2222675210936572e-05, | |
| "loss": 36.75696484375, | |
| "step": 14250 | |
| }, | |
| { | |
| "epoch": 2.179488143109474, | |
| "grad_norm": 82.87840270996094, | |
| "learning_rate": 2.14907349065354e-05, | |
| "loss": 36.61794921875, | |
| "step": 14500 | |
| }, | |
| { | |
| "epoch": 2.217069412604758, | |
| "grad_norm": 80.84054565429688, | |
| "learning_rate": 2.076185099647196e-05, | |
| "loss": 36.6228125, | |
| "step": 14750 | |
| }, | |
| { | |
| "epoch": 2.254650682100041, | |
| "grad_norm": 78.66047668457031, | |
| "learning_rate": 2.00366583021679e-05, | |
| "loss": 36.2935, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 2.254650682100041, | |
| "eval_loss": 4.390705585479736, | |
| "eval_runtime": 210.9905, | |
| "eval_samples_per_second": 81.53, | |
| "eval_steps_per_second": 1.275, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 2.292231951595325, | |
| "grad_norm": 75.72366333007812, | |
| "learning_rate": 1.931578843018062e-05, | |
| "loss": 36.5094375, | |
| "step": 15250 | |
| }, | |
| { | |
| "epoch": 2.3298132210906086, | |
| "grad_norm": 91.38578033447266, | |
| "learning_rate": 1.859986922210552e-05, | |
| "loss": 36.31355078125, | |
| "step": 15500 | |
| }, | |
| { | |
| "epoch": 2.367394490585892, | |
| "grad_norm": 78.77313995361328, | |
| "learning_rate": 1.78895242077574e-05, | |
| "loss": 36.16515234375, | |
| "step": 15750 | |
| }, | |
| { | |
| "epoch": 2.4049757600811756, | |
| "grad_norm": 84.32102966308594, | |
| "learning_rate": 1.7185372062107203e-05, | |
| "loss": 36.3475625, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 2.4049757600811756, | |
| "eval_loss": 4.355281829833984, | |
| "eval_runtime": 211.2504, | |
| "eval_samples_per_second": 81.429, | |
| "eval_steps_per_second": 1.273, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 2.442557029576459, | |
| "grad_norm": 80.85596466064453, | |
| "learning_rate": 1.6488026066447024e-05, | |
| "loss": 36.123234375, | |
| "step": 16250 | |
| }, | |
| { | |
| "epoch": 2.4801382990717427, | |
| "grad_norm": 84.26553344726562, | |
| "learning_rate": 1.5798093574252835e-05, | |
| "loss": 36.04619140625, | |
| "step": 16500 | |
| }, | |
| { | |
| "epoch": 2.517719568567026, | |
| "grad_norm": 83.43304443359375, | |
| "learning_rate": 1.5116175482209957e-05, | |
| "loss": 35.89179296875, | |
| "step": 16750 | |
| }, | |
| { | |
| "epoch": 2.5553008380623097, | |
| "grad_norm": 83.38468170166016, | |
| "learning_rate": 1.4442865706862096e-05, | |
| "loss": 36.0048515625, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 2.5553008380623097, | |
| "eval_loss": 4.32999324798584, | |
| "eval_runtime": 232.6354, | |
| "eval_samples_per_second": 73.944, | |
| "eval_steps_per_second": 1.156, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 2.5928821075575934, | |
| "grad_norm": 94.61381530761719, | |
| "learning_rate": 1.377875066733979e-05, | |
| "loss": 35.8738515625, | |
| "step": 17250 | |
| }, | |
| { | |
| "epoch": 2.6304633770528767, | |
| "grad_norm": 85.54600524902344, | |
| "learning_rate": 1.3124408774618657e-05, | |
| "loss": 35.88093359375, | |
| "step": 17500 | |
| }, | |
| { | |
| "epoch": 2.6680446465481604, | |
| "grad_norm": 83.1180191040039, | |
| "learning_rate": 1.2480409927752376e-05, | |
| "loss": 35.8044375, | |
| "step": 17750 | |
| }, | |
| { | |
| "epoch": 2.705625916043444, | |
| "grad_norm": 80.10919189453125, | |
| "learning_rate": 1.1847315017519101e-05, | |
| "loss": 35.79001171875, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 2.705625916043444, | |
| "eval_loss": 4.319030284881592, | |
| "eval_runtime": 232.6024, | |
| "eval_samples_per_second": 73.955, | |
| "eval_steps_per_second": 1.156, | |
| "step": 18000 | |
| } | |
| ], | |
| "logging_steps": 250, | |
| "max_steps": 26612, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 4, | |
| "save_steps": 1000, | |
| "stateful_callbacks": { | |
| "EarlyStoppingCallback": { | |
| "args": { | |
| "early_stopping_patience": 3, | |
| "early_stopping_threshold": 0.0 | |
| }, | |
| "attributes": { | |
| "early_stopping_patience_counter": 0 | |
| } | |
| }, | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 3.035725468495534e+17, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |