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metadata
tags:
  - automatic-speech-recognition
  - phongdtd/VinDataVLSP
  - generated_from_trainer
datasets:
  - vin_data_vlsp
model-index:
  - name: wavlm-vindata-demo-dist
    results: []

wavlm-vindata-demo-dist

This model is a fine-tuned version of microsoft/wavlm-base on the PHONGDTD/VINDATAVLSP - NA dataset. It achieves the following results on the evaluation set:

  • Loss: 3.4439
  • Wer: 1.0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0003
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • total_train_batch_size: 2
  • total_eval_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 15.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
4.0704 0.01 100 3.8768 1.0
3.6236 0.01 200 3.4611 1.0
6.597 0.02 300 3.4557 1.0
3.4744 0.03 400 3.4567 1.0
5.3992 0.04 500 3.4631 1.0
4.5348 0.04 600 3.4651 1.0
3.2457 0.05 700 3.4917 1.0
3.9245 0.06 800 3.4680 1.0
3.2904 0.07 900 3.4518 1.0
3.4768 0.07 1000 3.4506 1.0
3.2418 0.08 1100 3.4474 1.0
3.3111 0.09 1200 3.4684 1.0
3.986 0.09 1300 3.4465 1.0
4.3206 0.1 1400 3.4723 1.0
4.682 0.11 1500 3.4732 1.0
4.858 0.12 1600 3.4416 1.0
3.2949 0.12 1700 3.4481 1.0
3.4435 0.13 1800 3.4570 1.0
5.0695 0.14 1900 3.4448 1.0
3.4962 0.14 2000 3.4416 1.0
3.4891 0.15 2100 3.4455 1.0
4.1281 0.16 2200 3.4447 1.0
3.5956 0.17 2300 3.4512 1.0
3.6312 0.17 2400 3.4484 1.0
4.5383 0.18 2500 3.4435 1.0
6.1329 0.19 2600 3.4530 1.0
3.709 0.2 2700 3.4466 1.0
3.289 0.2 2800 3.4463 1.0
4.3301 0.21 2900 3.4418 1.0
4.6656 0.22 3000 3.4447 1.0
3.4288 0.22 3100 3.4715 1.0
3.5506 0.23 3200 3.4437 1.0
3.7497 0.24 3300 3.4910 1.0
3.5198 0.25 3400 3.4574 1.0
3.4183 0.25 3500 3.4607 1.0
4.5573 0.26 3600 3.4421 1.0
3.5737 0.27 3700 3.4481 1.0
4.9008 0.28 3800 3.4411 1.0
4.8725 0.28 3900 3.4422 1.0
3.5799 0.29 4000 3.4659 1.0
3.3257 0.3 4100 3.4519 1.0
3.6887 0.3 4200 3.4827 1.0
3.3037 0.31 4300 3.4632 1.0
5.5543 0.32 4400 3.4480 1.0
3.2898 0.33 4500 3.4404 1.0
3.2794 0.33 4600 3.4633 1.0
3.7896 0.34 4700 3.4439 1.0
3.6662 0.35 4800 3.4587 1.0
3.588 0.35 4900 3.4520 1.0
4.0535 0.36 5000 3.4450 1.0
3.4335 0.37 5100 3.4577 1.0
3.6317 0.38 5200 3.4443 1.0
5.2564 0.38 5300 3.4505 1.0
3.8781 0.39 5400 3.4418 1.0
4.6269 0.4 5500 3.4425 1.0
3.6095 0.41 5600 3.4581 1.0
4.6164 0.41 5700 3.4404 1.0
3.117 0.42 5800 3.4596 1.0
4.3939 0.43 5900 3.4401 1.0
3.5856 0.43 6000 3.4413 1.0
3.5187 0.44 6100 3.4452 1.0
4.7991 0.45 6200 3.4481 1.0
3.3905 0.46 6300 3.4420 1.0
3.5086 0.46 6400 3.4494 1.0
4.8217 0.47 6500 3.4477 1.0
3.3193 0.48 6600 3.4382 1.0
5.3482 0.49 6700 3.4580 1.0
3.3947 0.49 6800 3.4767 1.0
6.3352 0.5 6900 3.4476 1.0
3.4448 0.51 7000 3.4557 1.0
3.5358 0.51 7100 3.4438 1.0
3.3499 0.52 7200 3.4445 1.0
3.6932 0.53 7300 3.4463 1.0
6.9058 0.54 7400 3.4482 1.0
4.5514 0.54 7500 3.4422 1.0
3.517 0.55 7600 3.4505 1.0
7.4479 0.56 7700 3.4461 1.0
3.3761 0.56 7800 3.4511 1.0
4.5925 0.57 7900 3.4389 1.0
5.2682 0.58 8000 3.4563 1.0
5.6748 0.59 8100 3.4601 1.0
4.4335 0.59 8200 3.4439 1.0
5.1686 0.6 8300 3.4444 1.0
3.5245 0.61 8400 3.4629 1.0
4.9426 0.62 8500 3.4389 1.0
4.4654 0.62 8600 3.4427 1.0
3.5626 0.63 8700 3.4521 1.0
4.7086 0.64 8800 3.4489 1.0
3.238 0.64 8900 3.4478 1.0
4.2738 0.65 9000 3.4510 1.0
3.4468 0.66 9100 3.4411 1.0
3.2292 0.67 9200 3.4416 1.0
3.4972 0.67 9300 3.4643 1.0
7.3434 0.68 9400 3.4587 1.0
3.708 0.69 9500 3.4799 1.0
4.6466 0.69 9600 3.4490 1.0
3.3347 0.7 9700 3.4532 1.0
5.1486 0.71 9800 3.4427 1.0
3.6456 0.72 9900 3.4492 1.0
5.3904 0.72 10000 3.4497 1.0
4.8832 0.73 10100 3.4476 1.0
3.4482 0.74 10200 3.4539 1.0
3.617 0.75 10300 3.4547 1.0
5.4691 0.75 10400 3.4663 1.0
4.2759 0.76 10500 3.4401 1.0
8.2106 0.77 10600 3.4404 1.0
3.4894 0.77 10700 3.4426 1.0
3.6875 0.78 10800 3.4439 1.0
3.3277 0.79 10900 3.4446 1.0
4.5175 0.8 11000 3.4456 1.0
5.2161 0.8 11100 3.4388 1.0
3.5234 0.81 11200 3.4418 1.0
4.2212 0.82 11300 3.4392 1.0
3.6923 0.83 11400 3.4494 1.0
3.4863 0.83 11500 3.4572 1.0
6.3201 0.84 11600 3.4377 1.0
3.7543 0.85 11700 3.4533 1.0
3.3959 0.85 11800 3.4600 1.0
3.5691 0.86 11900 3.4673 1.0
3.49 0.87 12000 3.4407 1.0
7.1165 0.88 12100 3.4427 1.0
6.731 0.88 12200 3.4394 1.0
4.4682 0.89 12300 3.4407 1.0
3.3696 0.9 12400 3.4415 1.0
4.0241 0.9 12500 3.4454 1.0
3.521 0.91 12600 3.4379 1.0
5.5273 0.92 12700 3.4423 1.0
3.4781 0.93 12800 3.4635 1.0
3.4542 0.93 12900 3.4411 1.0
3.2363 0.94 13000 3.4396 1.0
5.3009 0.95 13100 3.4458 1.0
3.498 0.96 13200 3.4398 1.0
6.3325 0.96 13300 3.4514 1.0
3.5368 0.97 13400 3.4437 1.0
5.1164 0.98 13500 3.4623 1.0
3.6144 0.98 13600 3.4512 1.0
6.6018 0.99 13700 3.4493 1.0
3.7539 1.0 13800 3.4597 1.0
3.2903 1.01 13900 3.4813 1.0
3.3243 1.01 14000 3.4510 1.0
3.3485 1.02 14100 3.4389 1.0
3.6197 1.03 14200 3.4519 1.0
3.322 1.04 14300 3.4399 1.0
3.2897 1.04 14400 3.4378 1.0
3.3969 1.05 14500 3.4476 1.0
3.3289 1.06 14600 3.4646 1.0
3.3556 1.06 14700 3.4520 1.0
3.2527 1.07 14800 3.4575 1.0
3.4003 1.08 14900 3.4443 1.0
3.3171 1.09 15000 3.4434 1.0
3.4034 1.09 15100 3.4448 1.0
3.4363 1.1 15200 3.4560 1.0
3.3969 1.11 15300 3.4405 1.0
3.4134 1.11 15400 3.4408 1.0
3.5059 1.12 15500 3.4395 1.0
3.3963 1.13 15600 3.4488 1.0
3.2937 1.14 15700 3.4482 1.0
3.5635 1.14 15800 3.4621 1.0
3.4463 1.15 15900 3.4433 1.0
3.2588 1.16 16000 3.4434 1.0
3.3617 1.17 16100 3.4542 1.0
3.3721 1.17 16200 3.4388 1.0
3.3867 1.18 16300 3.4577 1.0
3.34 1.19 16400 3.4510 1.0
3.3676 1.19 16500 3.4434 1.0
3.5519 1.2 16600 3.4410 1.0
3.3129 1.21 16700 3.4507 1.0
3.3368 1.22 16800 3.4718 1.0
3.3107 1.22 16900 3.4439 1.0
3.2987 1.23 17000 3.4471 1.0
3.3102 1.24 17100 3.4435 1.0
3.2089 1.25 17200 3.4432 1.0
3.415 1.25 17300 3.4472 1.0
3.2884 1.26 17400 3.4388 1.0
3.3837 1.27 17500 3.4444 1.0
3.3181 1.27 17600 3.4438 1.0
3.3071 1.28 17700 3.4406 1.0
3.389 1.29 17800 3.4573 1.0
3.3246 1.3 17900 3.4580 1.0
3.3122 1.3 18000 3.4455 1.0
3.282 1.31 18100 3.4606 1.0
3.2671 1.32 18200 3.4378 1.0
3.3441 1.32 18300 3.4432 1.0
3.3115 1.33 18400 3.4458 1.0
3.3542 1.34 18500 3.4617 1.0
3.3924 1.35 18600 3.4549 1.0
3.4895 1.35 18700 3.4557 1.0
3.4071 1.36 18800 3.4462 1.0
3.3373 1.37 18900 3.4606 1.0
3.3497 1.38 19000 3.4458 1.0
3.3088 1.38 19100 3.4712 1.0
3.333 1.39 19200 3.4483 1.0
3.3773 1.4 19300 3.4455 1.0
3.357 1.4 19400 3.4379 1.0
3.3506 1.41 19500 3.4477 1.0
3.2944 1.42 19600 3.4478 1.0
3.241 1.43 19700 3.4492 1.0
3.4317 1.43 19800 3.4441 1.0
3.3478 1.44 19900 3.4385 1.0
3.3952 1.45 20000 3.4437 1.0
3.4808 1.46 20100 3.4644 1.0
3.3625 1.46 20200 3.4529 1.0
3.4842 1.47 20300 3.4524 1.0
3.3887 1.48 20400 3.4551 1.0
3.3198 1.48 20500 3.4433 1.0
3.3397 1.49 20600 3.4448 1.0
3.3173 1.5 20700 3.4590 1.0
3.3687 1.51 20800 3.4720 1.0
3.257 1.51 20900 3.4461 1.0
3.4451 1.52 21000 3.4541 1.0
3.2979 1.53 21100 3.4556 1.0
3.3566 1.53 21200 3.4438 1.0
3.3466 1.54 21300 3.4422 1.0
3.308 1.55 21400 3.4637 1.0
3.3952 1.56 21500 3.4435 1.0
3.4009 1.56 21600 3.4434 1.0
3.7952 1.57 21700 3.4675 1.0
3.3891 1.58 21800 3.4565 1.0
3.31 1.59 21900 3.4538 1.0
3.3186 1.59 22000 3.4492 1.0
3.3512 1.6 22100 3.4381 1.0
3.309 1.61 22200 3.4558 1.0
3.597 1.61 22300 3.4484 1.0
3.4474 1.62 22400 3.4574 1.0
3.3316 1.63 22500 3.4498 1.0
3.3909 1.64 22600 3.4384 1.0
3.6999 1.64 22700 3.4503 1.0
3.6071 1.65 22800 3.4578 1.0
3.2812 1.66 22900 3.4563 1.0
3.2921 1.67 23000 3.4564 1.0
3.3291 1.67 23100 3.4490 1.0
3.3454 1.68 23200 3.4403 1.0
3.4212 1.69 23300 3.4409 1.0
3.5481 1.69 23400 3.4534 1.0
3.2784 1.7 23500 3.4486 1.0
3.4625 1.71 23600 3.4413 1.0
3.2427 1.72 23700 3.4694 1.0
3.8438 1.72 23800 3.4444 1.0
3.4009 1.73 23900 3.4505 1.0
3.8029 1.74 24000 3.4712 1.0
3.36 1.74 24100 3.4552 1.0
3.2751 1.75 24200 3.4511 1.0
3.309 1.76 24300 3.4368 1.0
3.4597 1.77 24400 3.4517 1.0
3.2812 1.77 24500 3.4475 1.0
3.4425 1.78 24600 3.4413 1.0
3.3968 1.79 24700 3.4482 1.0
3.35 1.8 24800 3.4473 1.0
3.3156 1.8 24900 3.4435 1.0
3.3008 1.81 25000 3.4439 1.0
3.3365 1.82 25100 3.4382 1.0
3.5473 1.82 25200 3.4396 1.0
3.3568 1.83 25300 3.4577 1.0
3.28 1.84 25400 3.4458 1.0
3.4389 1.85 25500 3.4436 1.0
3.345 1.85 25600 3.4435 1.0
3.3295 1.86 25700 3.4428 1.0
4.4622 1.87 25800 3.4638 1.0
3.3717 1.88 25900 3.4450 1.0
3.3 1.88 26000 3.4616 1.0
3.3399 1.89 26100 3.4391 1.0
3.4243 1.9 26200 3.4375 1.0
3.326 1.9 26300 3.4533 1.0
3.3337 1.91 26400 3.4538 1.0
3.2655 1.92 26500 3.4460 1.0
3.2963 1.93 26600 3.4443 1.0
3.3967 1.93 26700 3.4392 1.0
3.3203 1.94 26800 3.4609 1.0
3.4581 1.95 26900 3.4388 1.0
3.2519 1.95 27000 3.4434 1.0
3.488 1.96 27100 3.4653 1.0
3.3446 1.97 27200 3.4465 1.0
3.4035 1.98 27300 3.4535 1.0
3.2898 1.98 27400 3.4442 1.0
3.3309 1.99 27500 3.4491 1.0
3.2765 2.0 27600 3.4477 1.0
3.3352 2.01 27700 3.4540 1.0
3.4456 2.01 27800 3.4602 1.0
3.6378 2.02 27900 3.4578 1.0
6.4491 2.03 28000 3.4494 1.0
6.1705 2.03 28100 3.4570 1.0
3.4253 2.04 28200 3.4504 1.0
3.4053 2.05 28300 3.4399 1.0
3.6719 2.06 28400 3.4464 1.0
3.2769 2.06 28500 3.4473 1.0
3.3132 2.07 28600 3.4484 1.0
3.3756 2.08 28700 3.4413 1.0
5.5583 2.08 28800 3.4411 1.0
3.6191 2.09 28900 3.4406 1.0
3.4681 2.1 29000 3.4461 1.0
4.463 2.11 29100 3.4409 1.0
3.4645 2.11 29200 3.4556 1.0
3.6549 2.12 29300 3.4545 1.0
3.437 2.13 29400 3.4410 1.0
3.5002 2.14 29500 3.4370 1.0
3.4375 2.14 29600 3.4407 1.0
3.3798 2.15 29700 3.4390 1.0
3.6778 2.16 29800 3.4386 1.0
3.4647 2.16 29900 3.4600 1.0
3.4328 2.17 30000 3.4492 1.0
3.4381 2.18 30100 3.4406 1.0
3.3253 2.19 30200 3.4461 1.0
3.4112 2.19 30300 3.4478 1.0
3.6158 2.2 30400 3.4482 1.0
3.5541 2.21 30500 3.4424 1.0
4.3339 2.22 30600 3.4432 1.0
3.818 2.22 30700 3.4453 1.0
3.8914 2.23 30800 3.4457 1.0
5.5706 2.24 30900 3.4605 1.0
4.3359 2.24 31000 3.4700 1.0
3.6418 2.25 31100 3.4558 1.0
3.4288 2.26 31200 3.4396 1.0
3.4512 2.27 31300 3.4411 1.0
3.3326 2.27 31400 3.4473 1.0
3.5872 2.28 31500 3.4400 1.0
3.5426 2.29 31600 3.4469 1.0
4.2227 2.29 31700 3.4499 1.0
3.5461 2.3 31800 3.4388 1.0
3.5507 2.31 31900 3.4503 1.0
3.5177 2.32 32000 3.4429 1.0
3.7237 2.32 32100 3.4617 1.0
3.3513 2.33 32200 3.4487 1.0
3.3827 2.34 32300 3.4678 1.0
3.3311 2.35 32400 3.4441 1.0
3.2852 2.35 32500 3.4433 1.0
3.5712 2.36 32600 3.4514 1.0
4.6259 2.37 32700 3.4520 1.0
3.8864 2.37 32800 3.4544 1.0
3.3284 2.38 32900 3.4444 1.0
3.6078 2.39 33000 3.4450 1.0
3.4026 2.4 33100 3.4454 1.0
3.7527 2.4 33200 3.4541 1.0
3.3741 2.41 33300 3.4386 1.0
3.4498 2.42 33400 3.4518 1.0
3.3424 2.43 33500 3.4554 1.0
4.8226 2.43 33600 3.4412 1.0
3.3503 2.44 33700 3.4434 1.0
3.509 2.45 33800 3.4393 1.0
3.586 2.45 33900 3.4375 1.0
3.5242 2.46 34000 3.4402 1.0
3.4351 2.47 34100 3.4389 1.0
3.4445 2.48 34200 3.4416 1.0
6.6676 2.48 34300 3.4571 1.0
4.3937 2.49 34400 3.4560 1.0
3.4177 2.5 34500 3.4482 1.0
3.3966 2.5 34600 3.4640 1.0
3.2845 2.51 34700 3.4538 1.0
3.438 2.52 34800 3.4555 1.0
3.3874 2.53 34900 3.4524 1.0
3.5068 2.53 35000 3.4448 1.0
4.2406 2.54 35100 3.4503 1.0
3.2986 2.55 35200 3.4538 1.0
3.4044 2.56 35300 3.4443 1.0
3.3105 2.56 35400 3.4391 1.0
3.4048 2.57 35500 3.4411 1.0
3.5645 2.58 35600 3.4488 1.0
3.4912 2.58 35700 3.4400 1.0
3.4028 2.59 35800 3.4390 1.0
3.4601 2.6 35900 3.4455 1.0
3.6066 2.61 36000 3.4441 1.0
4.5312 2.61 36100 3.4414 1.0
3.6372 2.62 36200 3.4421 1.0
4.1912 2.63 36300 3.4572 1.0
3.4793 2.64 36400 3.4419 1.0
4.5538 2.64 36500 3.4407 1.0
3.3823 2.65 36600 3.4446 1.0
3.3592 2.66 36700 3.4396 1.0
3.4974 2.66 36800 3.4529 1.0
3.4599 2.67 36900 3.4380 1.0
4.7097 2.68 37000 3.4654 1.0
6.7037 2.69 37100 3.4386 1.0
3.3465 2.69 37200 3.4652 1.0
4.9762 2.7 37300 3.4506 1.0
3.9189 2.71 37400 3.4427 1.0
3.4746 2.71 37500 3.4465 1.0
3.3842 2.72 37600 3.4470 1.0
3.2445 2.73 37700 3.4480 1.0
3.382 2.74 37800 3.4456 1.0
3.7279 2.74 37900 3.4431 1.0
3.4329 2.75 38000 3.4374 1.0
3.4607 2.76 38100 3.4447 1.0
3.2394 2.77 38200 3.4476 1.0
3.7795 2.77 38300 3.4380 1.0
3.4419 2.78 38400 3.4526 1.0
3.6452 2.79 38500 3.4428 1.0
3.3474 2.79 38600 3.4424 1.0
3.4645 2.8 38700 3.4479 1.0
4.1143 2.81 38800 3.4580 1.0
4.6453 2.82 38900 3.4585 1.0
4.022 2.82 39000 3.4567 1.0
4.3049 2.83 39100 3.4377 1.0
3.3382 2.84 39200 3.4413 1.0
3.6022 2.85 39300 3.4548 1.0
4.4217 2.85 39400 3.4411 1.0
3.5139 2.86 39500 3.4552 1.0
3.1215 2.87 39600 3.4471 1.0
3.4514 2.87 39700 3.4378 1.0
4.822 2.88 39800 3.4605 1.0
5.6699 2.89 39900 3.4489 1.0
3.4183 2.9 40000 3.4644 1.0
5.7492 2.9 40100 3.4514 1.0
3.2879 2.91 40200 3.4543 1.0
3.3076 2.92 40300 3.4450 1.0
5.2845 2.92 40400 3.4459 1.0
3.7927 2.93 40500 3.4481 1.0
7.1549 2.94 40600 3.4554 1.0
3.4544 2.95 40700 3.4486 1.0
3.2332 2.95 40800 3.4415 1.0
3.3714 2.96 40900 3.4521 1.0
3.5205 2.97 41000 3.4395 1.0
4.6267 2.98 41100 3.4622 1.0
6.7747 2.98 41200 3.4407 1.0
3.3091 2.99 41300 3.4422 1.0
3.7135 3.0 41400 3.4383 1.0
3.6261 3.0 41500 3.4482 1.0
3.3323 3.01 41600 3.4366 1.0
3.4544 3.02 41700 3.4376 1.0
3.6486 3.03 41800 3.4511 1.0
3.3333 3.03 41900 3.4397 1.0
3.35 3.04 42000 3.4486 1.0
3.3522 3.05 42100 3.4626 1.0
3.4359 3.06 42200 3.4462 1.0
3.4548 3.06 42300 3.4435 1.0
3.2711 3.07 42400 3.4450 1.0
3.2679 3.08 42500 3.4394 1.0
3.3703 3.08 42600 3.4539 1.0
3.3846 3.09 42700 3.4443 1.0
3.334 3.1 42800 3.4384 1.0
3.3429 3.11 42900 3.4625 1.0
3.282 3.11 43000 3.4419 1.0
3.3503 3.12 43100 3.4653 1.0
3.4923 3.13 43200 3.4380 1.0
3.4309 3.13 43300 3.4534 1.0
3.3292 3.14 43400 3.4448 1.0
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3.4255 12.81 176900 3.4437 1.0
3.3086 12.81 177000 3.4422 1.0
3.3619 12.82 177100 3.4447 1.0
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3.4318 12.84 177300 3.4413 1.0
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3.3984 12.86 177600 3.4518 1.0
3.5566 12.86 177700 3.4481 1.0
4.3006 12.87 177800 3.4463 1.0
3.2232 12.88 177900 3.4454 1.0
3.2224 12.89 178000 3.4452 1.0
3.3974 12.89 178100 3.4430 1.0
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3.7722 12.92 178400 3.4459 1.0
3.3155 12.92 178500 3.4451 1.0
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3.559 13.03 180000 3.4425 1.0
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3.289 13.18 182100 3.4431 1.0
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3.256 13.2 182300 3.4410 1.0
3.2597 13.2 182400 3.4391 1.0
3.2483 13.21 182500 3.4387 1.0
3.3637 13.22 182600 3.4409 1.0
3.2936 13.23 182700 3.4399 1.0
3.2666 13.23 182800 3.4458 1.0
3.3675 13.24 182900 3.4494 1.0
3.3538 13.25 183000 3.4430 1.0
3.3276 13.26 183100 3.4442 1.0
3.3851 13.26 183200 3.4425 1.0
3.3579 13.27 183300 3.4410 1.0
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3.366 13.34 184300 3.4459 1.0
3.2545 13.35 184400 3.4451 1.0
4.2873 13.36 184500 3.4425 1.0
3.6525 13.36 184600 3.4432 1.0
3.2921 13.37 184700 3.4437 1.0
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3.3348 13.47 186100 3.4420 1.0
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3.2365 13.54 187000 3.4392 1.0
3.3355 13.55 187100 3.4387 1.0
3.2654 13.55 187200 3.4393 1.0
3.3085 13.56 187300 3.4404 1.0
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3.3442 13.64 188400 3.4509 1.0
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3.342 13.66 188700 3.4428 1.0
3.2765 13.67 188800 3.4410 1.0
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3.3381 13.68 189000 3.4400 1.0
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3.3049 13.7 189300 3.4431 1.0
3.7184 13.71 189400 3.4446 1.0
3.3307 13.72 189500 3.4449 1.0
3.3274 13.73 189600 3.4456 1.0
3.3481 13.73 189700 3.4417 1.0
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3.3775 13.76 190000 3.4458 1.0
3.284 13.76 190100 3.4427 1.0
3.2496 13.77 190200 3.4465 1.0
3.4141 13.78 190300 3.4422 1.0
3.3689 13.78 190400 3.4441 1.0
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3.334 13.8 190600 3.4447 1.0
3.4054 13.81 190700 3.4442 1.0
3.5985 13.81 190800 3.4418 1.0
3.307 13.82 190900 3.4437 1.0
3.2475 13.83 191000 3.4418 1.0
3.4217 13.83 191100 3.4429 1.0
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3.4471 13.85 191300 3.4420 1.0
3.3174 13.86 191400 3.4400 1.0
3.3505 13.86 191500 3.4430 1.0
3.4601 13.87 191600 3.4409 1.0
3.2617 13.88 191700 3.4439 1.0
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3.2713 13.9 192000 3.4425 1.0
3.3399 13.91 192100 3.4450 1.0
3.375 13.91 192200 3.4440 1.0
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3.3949 13.98 193100 3.4409 1.0
3.3118 13.99 193200 3.4413 1.0
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3.382 14.0 193400 3.4439 1.0
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4.2116 14.11 194900 3.4433 1.0
3.4121 14.12 195000 3.4437 1.0
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3.3585 14.14 195300 3.4450 1.0
3.3374 14.15 195400 3.4421 1.0
3.3519 14.15 195500 3.4421 1.0
3.4128 14.16 195600 3.4416 1.0
3.3448 14.17 195700 3.4412 1.0
3.4239 14.18 195800 3.4418 1.0
3.6124 14.18 195900 3.4440 1.0
3.3607 14.19 196000 3.4444 1.0
3.3141 14.2 196100 3.4433 1.0
3.4431 14.2 196200 3.4432 1.0
3.4539 14.21 196300 3.4426 1.0
3.3409 14.22 196400 3.4418 1.0
3.2736 14.23 196500 3.4422 1.0
3.8002 14.23 196600 3.4431 1.0
3.501 14.24 196700 3.4421 1.0
3.3537 14.25 196800 3.4420 1.0
3.4373 14.25 196900 3.4412 1.0
3.359 14.26 197000 3.4412 1.0
3.302 14.27 197100 3.4425 1.0
3.3282 14.28 197200 3.4424 1.0
3.3941 14.28 197300 3.4424 1.0
4.4183 14.29 197400 3.4435 1.0
3.4406 14.3 197500 3.4432 1.0
3.285 14.31 197600 3.4432 1.0
3.3289 14.31 197700 3.4442 1.0
3.3085 14.32 197800 3.4426 1.0
3.2033 14.33 197900 3.4446 1.0
3.3691 14.33 198000 3.4448 1.0
3.3715 14.34 198100 3.4448 1.0
4.5572 14.35 198200 3.4432 1.0
3.3509 14.36 198300 3.4431 1.0
3.3179 14.36 198400 3.4426 1.0
3.2891 14.37 198500 3.4436 1.0
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3.3177 14.38 198700 3.4442 1.0
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3.3834 14.4 198900 3.4441 1.0
3.4318 14.41 199000 3.4430 1.0
3.4176 14.41 199100 3.4431 1.0
4.6882 14.42 199200 3.4431 1.0
3.2657 14.43 199300 3.4436 1.0
3.3929 14.44 199400 3.4436 1.0
5.337 14.44 199500 3.4432 1.0
3.4289 14.45 199600 3.4432 1.0
3.2498 14.46 199700 3.4435 1.0
3.3635 14.46 199800 3.4432 1.0
5.4355 14.47 199900 3.4418 1.0
3.2158 14.48 200000 3.4427 1.0
3.4885 14.49 200100 3.4435 1.0
3.3739 14.49 200200 3.4430 1.0
3.4712 14.5 200300 3.4434 1.0
3.3742 14.51 200400 3.4444 1.0
3.3465 14.52 200500 3.4429 1.0
3.3277 14.52 200600 3.4430 1.0
3.3073 14.53 200700 3.4431 1.0
3.33 14.54 200800 3.4432 1.0
3.3857 14.54 200900 3.4436 1.0
3.4481 14.55 201000 3.4430 1.0
3.546 14.56 201100 3.4416 1.0
3.4435 14.57 201200 3.4404 1.0
3.3237 14.57 201300 3.4408 1.0
3.3347 14.58 201400 3.4420 1.0
4.5461 14.59 201500 3.4420 1.0
3.3307 14.59 201600 3.4430 1.0
3.3899 14.6 201700 3.4439 1.0
3.2613 14.61 201800 3.4435 1.0
3.2693 14.62 201900 3.4426 1.0
3.3621 14.62 202000 3.4430 1.0
3.4383 14.63 202100 3.4434 1.0
3.5096 14.64 202200 3.4444 1.0
3.3962 14.65 202300 3.4445 1.0
3.3854 14.65 202400 3.4441 1.0
3.3116 14.66 202500 3.4445 1.0
3.3691 14.67 202600 3.4445 1.0
3.3821 14.67 202700 3.4440 1.0
3.2872 14.68 202800 3.4431 1.0
3.3575 14.69 202900 3.4431 1.0
3.2881 14.7 203000 3.4435 1.0
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3.3814 14.71 203200 3.4439 1.0
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3.2636 14.77 204000 3.4440 1.0
3.2908 14.78 204100 3.4439 1.0
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3.3486 14.84 205000 3.4443 1.0
3.2943 14.85 205100 3.4443 1.0
3.2908 14.86 205200 3.4438 1.0
4.0962 14.86 205300 3.4443 1.0
3.2306 14.87 205400 3.4433 1.0
3.4682 14.88 205500 3.4433 1.0
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3.299 14.9 205800 3.4438 1.0
3.3116 14.91 205900 3.4438 1.0
3.3456 14.91 206000 3.4439 1.0
3.263 14.92 206100 3.4439 1.0
3.4408 14.93 206200 3.4444 1.0
3.3478 14.94 206300 3.4443 1.0
3.1718 14.94 206400 3.4438 1.0
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3.4132 14.96 206600 3.4439 1.0
3.2337 14.96 206700 3.4439 1.0
3.3859 14.97 206800 3.4439 1.0
3.3501 14.98 206900 3.4439 1.0
3.5111 14.99 207000 3.4439 1.0
3.5375 14.99 207100 3.4439 1.0

Framework versions

  • Transformers 4.17.0.dev0
  • Pytorch 1.10.0+cu111
  • Datasets 1.18.3
  • Tokenizers 0.10.3