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README.md CHANGED
@@ -4,20 +4,20 @@ base_model: google-bert/bert-base-cased
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: bert_baseline_prompt_adherence_task3_fold3
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # bert_baseline_prompt_adherence_task3_fold3
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  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3682
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- - Qwk: 0.6649
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- - Mse: 0.3683
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  ## Model description
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@@ -48,168 +48,168 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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- | No log | 0.0308 | 2 | 0.9704 | 0.1527 | 0.9706 |
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- | No log | 0.0615 | 4 | 0.7768 | 0.0030 | 0.7766 |
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- | No log | 0.0923 | 6 | 0.6583 | 0.0030 | 0.6579 |
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- | No log | 0.1231 | 8 | 0.6525 | 0.0 | 0.6519 |
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- | No log | 0.1538 | 10 | 0.6474 | 0.0 | 0.6468 |
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- | No log | 0.1846 | 12 | 0.5760 | 0.0 | 0.5753 |
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- | No log | 0.2154 | 14 | 0.5488 | 0.0 | 0.5482 |
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- | No log | 0.2462 | 16 | 0.5211 | 0.0030 | 0.5205 |
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- | No log | 0.2769 | 18 | 0.5221 | 0.1224 | 0.5216 |
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- | No log | 0.3077 | 20 | 0.4718 | 0.2977 | 0.4713 |
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- | No log | 0.3385 | 22 | 0.5211 | 0.3353 | 0.5209 |
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- | No log | 0.3692 | 24 | 0.5460 | 0.4382 | 0.5459 |
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- | No log | 0.4 | 26 | 0.4589 | 0.5832 | 0.4588 |
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- | No log | 0.4308 | 28 | 0.4140 | 0.4892 | 0.4138 |
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- | No log | 0.4615 | 30 | 0.4372 | 0.3502 | 0.4370 |
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- | No log | 0.4923 | 32 | 0.4114 | 0.4434 | 0.4112 |
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- | No log | 0.5231 | 34 | 0.4055 | 0.5653 | 0.4054 |
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- | No log | 0.5538 | 36 | 0.4254 | 0.5831 | 0.4253 |
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- | No log | 0.5846 | 38 | 0.4187 | 0.5904 | 0.4186 |
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- | No log | 0.6154 | 40 | 0.4286 | 0.5968 | 0.4286 |
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- | No log | 0.6462 | 42 | 0.4741 | 0.5974 | 0.4740 |
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- | No log | 0.6769 | 44 | 0.5024 | 0.5990 | 0.5023 |
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- | No log | 0.7077 | 46 | 0.4280 | 0.5961 | 0.4279 |
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- | No log | 0.7385 | 48 | 0.3671 | 0.5654 | 0.3670 |
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- | No log | 0.7692 | 50 | 0.3568 | 0.5513 | 0.3567 |
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- | No log | 0.8 | 52 | 0.3575 | 0.5763 | 0.3574 |
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- | No log | 0.8308 | 54 | 0.3674 | 0.5885 | 0.3672 |
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- | No log | 0.8615 | 56 | 0.3698 | 0.6033 | 0.3696 |
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- | No log | 0.8923 | 58 | 0.3401 | 0.5860 | 0.3400 |
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- | No log | 0.9231 | 60 | 0.3406 | 0.4940 | 0.3406 |
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- | No log | 0.9538 | 62 | 0.3647 | 0.4245 | 0.3648 |
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- | No log | 0.9846 | 64 | 0.3429 | 0.4601 | 0.3429 |
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- | No log | 1.0154 | 66 | 0.3420 | 0.5709 | 0.3418 |
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- | No log | 1.0462 | 68 | 0.3973 | 0.6227 | 0.3971 |
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- | No log | 1.0769 | 70 | 0.4293 | 0.6347 | 0.4291 |
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- | No log | 1.1077 | 72 | 0.3740 | 0.6445 | 0.3739 |
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- | No log | 1.1385 | 74 | 0.3573 | 0.6465 | 0.3573 |
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- | No log | 1.1692 | 76 | 0.3644 | 0.6552 | 0.3645 |
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- | No log | 1.2 | 78 | 0.3301 | 0.6413 | 0.3302 |
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- | No log | 1.2308 | 80 | 0.3362 | 0.5424 | 0.3365 |
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- | No log | 1.2615 | 82 | 0.3336 | 0.5500 | 0.3339 |
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- | No log | 1.2923 | 84 | 0.3365 | 0.6388 | 0.3367 |
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- | No log | 1.3231 | 86 | 0.3591 | 0.6419 | 0.3591 |
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- | No log | 1.3538 | 88 | 0.3390 | 0.6395 | 0.3390 |
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- | No log | 1.3846 | 90 | 0.3174 | 0.6094 | 0.3175 |
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- | No log | 1.4154 | 92 | 0.3108 | 0.5792 | 0.3110 |
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- | No log | 1.4462 | 94 | 0.3141 | 0.5844 | 0.3143 |
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- | No log | 1.4769 | 96 | 0.3683 | 0.6641 | 0.3684 |
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- | No log | 1.5077 | 98 | 0.5174 | 0.6669 | 0.5173 |
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- | No log | 1.5385 | 100 | 0.5952 | 0.6411 | 0.5949 |
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- | No log | 1.5692 | 102 | 0.5526 | 0.6459 | 0.5523 |
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- | No log | 1.6 | 104 | 0.4328 | 0.6658 | 0.4326 |
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- | No log | 1.6308 | 106 | 0.3247 | 0.5669 | 0.3246 |
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- | No log | 1.6615 | 108 | 0.3416 | 0.4809 | 0.3417 |
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- | No log | 1.6923 | 110 | 0.4024 | 0.3868 | 0.4026 |
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- | No log | 1.7231 | 112 | 0.3994 | 0.3903 | 0.3996 |
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- | No log | 1.7538 | 114 | 0.3513 | 0.4517 | 0.3514 |
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- | No log | 1.7846 | 116 | 0.3284 | 0.5399 | 0.3283 |
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- | No log | 1.8154 | 118 | 0.3860 | 0.6061 | 0.3857 |
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- | No log | 1.8462 | 120 | 0.4524 | 0.6347 | 0.4520 |
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- | No log | 1.8769 | 122 | 0.4737 | 0.6418 | 0.4733 |
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- | No log | 1.9077 | 124 | 0.4349 | 0.6531 | 0.4347 |
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- | No log | 1.9385 | 126 | 0.3578 | 0.6321 | 0.3577 |
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- | No log | 1.9692 | 128 | 0.3144 | 0.5710 | 0.3145 |
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- | No log | 2.0 | 130 | 0.3352 | 0.5174 | 0.3354 |
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- | No log | 2.0308 | 132 | 0.3318 | 0.5263 | 0.3319 |
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- | No log | 2.0615 | 134 | 0.3114 | 0.5589 | 0.3115 |
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- | No log | 2.0923 | 136 | 0.3457 | 0.6503 | 0.3457 |
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- | No log | 2.1231 | 138 | 0.4004 | 0.6687 | 0.4003 |
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- | No log | 2.1538 | 140 | 0.4211 | 0.6708 | 0.4210 |
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- | No log | 2.1846 | 142 | 0.3876 | 0.6783 | 0.3876 |
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- | No log | 2.2154 | 144 | 0.3318 | 0.6423 | 0.3319 |
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- | No log | 2.2462 | 146 | 0.3116 | 0.6060 | 0.3117 |
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- | No log | 2.2769 | 148 | 0.3119 | 0.6044 | 0.3120 |
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- | No log | 2.3077 | 150 | 0.3296 | 0.6391 | 0.3296 |
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- | No log | 2.3385 | 152 | 0.3808 | 0.6673 | 0.3807 |
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- | No log | 2.3692 | 154 | 0.4074 | 0.6685 | 0.4073 |
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- | No log | 2.4 | 156 | 0.3836 | 0.6799 | 0.3836 |
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- | No log | 2.4308 | 158 | 0.3414 | 0.6455 | 0.3415 |
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- | No log | 2.4615 | 160 | 0.3275 | 0.6353 | 0.3276 |
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- | No log | 2.4923 | 162 | 0.3206 | 0.6334 | 0.3208 |
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- | No log | 2.5231 | 164 | 0.3387 | 0.6386 | 0.3388 |
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- | No log | 2.5538 | 166 | 0.3356 | 0.6361 | 0.3358 |
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- | No log | 2.5846 | 168 | 0.3200 | 0.6318 | 0.3201 |
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- | No log | 2.6154 | 170 | 0.3394 | 0.6492 | 0.3395 |
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- | No log | 2.6462 | 172 | 0.3440 | 0.6446 | 0.3441 |
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- | No log | 2.6769 | 174 | 0.3574 | 0.6646 | 0.3575 |
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- | No log | 2.7077 | 176 | 0.3516 | 0.6513 | 0.3518 |
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- | No log | 2.7385 | 178 | 0.3331 | 0.6395 | 0.3333 |
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- | No log | 2.7692 | 180 | 0.3285 | 0.6335 | 0.3287 |
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- | No log | 2.8 | 182 | 0.3305 | 0.6406 | 0.3306 |
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- | No log | 2.8308 | 184 | 0.3475 | 0.6670 | 0.3476 |
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- | No log | 2.8615 | 186 | 0.3713 | 0.6744 | 0.3714 |
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- | No log | 2.8923 | 188 | 0.3504 | 0.6711 | 0.3505 |
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- | No log | 2.9231 | 190 | 0.3354 | 0.6494 | 0.3356 |
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- | No log | 2.9538 | 192 | 0.3317 | 0.6470 | 0.3318 |
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- | No log | 2.9846 | 194 | 0.3312 | 0.6473 | 0.3313 |
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- | No log | 3.0154 | 196 | 0.3466 | 0.6614 | 0.3466 |
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- | No log | 3.0462 | 198 | 0.3924 | 0.6618 | 0.3924 |
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- | No log | 3.0769 | 200 | 0.3980 | 0.6617 | 0.3980 |
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- | No log | 3.1077 | 202 | 0.3549 | 0.6585 | 0.3550 |
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- | No log | 3.1385 | 204 | 0.3308 | 0.6378 | 0.3310 |
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- | No log | 3.1692 | 206 | 0.3324 | 0.6327 | 0.3325 |
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- | No log | 3.2 | 208 | 0.3469 | 0.6543 | 0.3470 |
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- | No log | 3.2308 | 210 | 0.3492 | 0.6529 | 0.3493 |
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- | No log | 3.2615 | 212 | 0.3417 | 0.6463 | 0.3419 |
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- | No log | 3.2923 | 214 | 0.3512 | 0.6549 | 0.3514 |
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- | No log | 3.3231 | 216 | 0.3665 | 0.6635 | 0.3666 |
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- | No log | 3.3538 | 218 | 0.3742 | 0.6512 | 0.3744 |
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- | No log | 3.3846 | 220 | 0.3989 | 0.6635 | 0.3990 |
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- | No log | 3.4154 | 222 | 0.3704 | 0.6662 | 0.3706 |
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- | No log | 3.4462 | 224 | 0.3304 | 0.6109 | 0.3306 |
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- | No log | 3.4769 | 226 | 0.3248 | 0.6050 | 0.3250 |
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- | No log | 3.5077 | 228 | 0.3387 | 0.6185 | 0.3388 |
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- | No log | 3.5385 | 230 | 0.3950 | 0.6650 | 0.3951 |
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- | No log | 3.5692 | 232 | 0.4510 | 0.6830 | 0.4511 |
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- | No log | 3.6 | 234 | 0.4403 | 0.6808 | 0.4404 |
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- | No log | 3.6308 | 236 | 0.3881 | 0.6721 | 0.3882 |
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- | No log | 3.6615 | 238 | 0.3315 | 0.6249 | 0.3316 |
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- | No log | 3.6923 | 240 | 0.3178 | 0.5959 | 0.3180 |
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- | No log | 3.7231 | 242 | 0.3185 | 0.6095 | 0.3186 |
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- | No log | 3.7538 | 244 | 0.3363 | 0.6398 | 0.3365 |
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- | No log | 3.7846 | 246 | 0.3855 | 0.6636 | 0.3856 |
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- | No log | 3.8154 | 248 | 0.4370 | 0.6752 | 0.4370 |
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- | No log | 3.8462 | 250 | 0.4539 | 0.6869 | 0.4539 |
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- | No log | 3.8769 | 252 | 0.4273 | 0.6687 | 0.4273 |
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- | No log | 3.9077 | 254 | 0.3789 | 0.6432 | 0.3790 |
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- | No log | 3.9385 | 256 | 0.3507 | 0.6588 | 0.3507 |
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- | No log | 3.9692 | 258 | 0.3276 | 0.6283 | 0.3277 |
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- | No log | 4.0 | 260 | 0.3250 | 0.6304 | 0.3251 |
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- | No log | 4.0308 | 262 | 0.3296 | 0.6298 | 0.3297 |
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- | No log | 4.0615 | 264 | 0.3499 | 0.6528 | 0.3500 |
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- | No log | 4.0923 | 266 | 0.3734 | 0.6673 | 0.3735 |
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- | No log | 4.1231 | 268 | 0.3897 | 0.6728 | 0.3899 |
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- | No log | 4.1538 | 270 | 0.4000 | 0.6903 | 0.4002 |
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- | No log | 4.1846 | 272 | 0.4014 | 0.6848 | 0.4016 |
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- | No log | 4.2154 | 274 | 0.3830 | 0.6767 | 0.3832 |
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- | No log | 4.2462 | 276 | 0.3742 | 0.6722 | 0.3745 |
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- | No log | 4.2769 | 278 | 0.3759 | 0.6728 | 0.3762 |
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- | No log | 4.3077 | 280 | 0.3826 | 0.6687 | 0.3828 |
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- | No log | 4.3385 | 282 | 0.3797 | 0.6674 | 0.3799 |
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- | No log | 4.3692 | 284 | 0.3708 | 0.6579 | 0.3710 |
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- | No log | 4.4 | 286 | 0.3647 | 0.6500 | 0.3649 |
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- | No log | 4.4308 | 288 | 0.3601 | 0.6480 | 0.3603 |
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- | No log | 4.4615 | 290 | 0.3588 | 0.6480 | 0.3590 |
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- | No log | 4.4923 | 292 | 0.3570 | 0.6480 | 0.3572 |
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- | No log | 4.5231 | 294 | 0.3688 | 0.6586 | 0.3690 |
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- | No log | 4.5538 | 296 | 0.3764 | 0.6626 | 0.3765 |
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- | No log | 4.5846 | 298 | 0.3802 | 0.6626 | 0.3803 |
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- | No log | 4.6154 | 300 | 0.3895 | 0.6665 | 0.3897 |
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- | No log | 4.6462 | 302 | 0.3883 | 0.6665 | 0.3885 |
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- | No log | 4.6769 | 304 | 0.3929 | 0.6644 | 0.3930 |
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- | No log | 4.7077 | 306 | 0.3906 | 0.6665 | 0.3907 |
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- | No log | 4.7385 | 308 | 0.3888 | 0.6603 | 0.3889 |
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- | No log | 4.7692 | 310 | 0.3812 | 0.6598 | 0.3813 |
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- | No log | 4.8 | 312 | 0.3773 | 0.6648 | 0.3775 |
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- | No log | 4.8308 | 314 | 0.3748 | 0.6641 | 0.3750 |
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- | No log | 4.8615 | 316 | 0.3726 | 0.6641 | 0.3727 |
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- | No log | 4.8923 | 318 | 0.3710 | 0.6641 | 0.3711 |
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- | No log | 4.9231 | 320 | 0.3704 | 0.6662 | 0.3705 |
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- | No log | 4.9538 | 322 | 0.3691 | 0.6649 | 0.3692 |
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- | No log | 4.9846 | 324 | 0.3682 | 0.6649 | 0.3683 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: bert_baseline_prompt_adherence_task3_fold2
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  results: []
9
  ---
10
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
  should probably proofread and complete it, then remove this comment. -->
13
 
14
+ # bert_baseline_prompt_adherence_task3_fold2
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  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3865
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+ - Qwk: 0.6205
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+ - Mse: 0.3868
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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+ | No log | 0.0308 | 2 | 0.9209 | 0.0721 | 0.9218 |
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+ | No log | 0.0615 | 4 | 0.7058 | 0.0 | 0.7068 |
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+ | No log | 0.0923 | 6 | 0.6332 | 0.0 | 0.6344 |
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+ | No log | 0.1231 | 8 | 0.6461 | 0.0 | 0.6473 |
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+ | No log | 0.1538 | 10 | 0.6356 | 0.0 | 0.6368 |
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+ | No log | 0.1846 | 12 | 0.5833 | 0.0 | 0.5844 |
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+ | No log | 0.2154 | 14 | 0.5584 | 0.0 | 0.5595 |
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+ | No log | 0.2462 | 16 | 0.5636 | 0.0 | 0.5645 |
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+ | No log | 0.2769 | 18 | 0.5578 | 0.0 | 0.5588 |
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+ | No log | 0.3077 | 20 | 0.5330 | 0.0090 | 0.5340 |
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+ | No log | 0.3385 | 22 | 0.4862 | 0.0297 | 0.4871 |
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+ | No log | 0.3692 | 24 | 0.4627 | 0.1885 | 0.4635 |
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+ | No log | 0.4 | 26 | 0.4589 | 0.4569 | 0.4597 |
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+ | No log | 0.4308 | 28 | 0.4252 | 0.5118 | 0.4259 |
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+ | No log | 0.4615 | 30 | 0.4208 | 0.5424 | 0.4214 |
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+ | No log | 0.4923 | 32 | 0.4120 | 0.4962 | 0.4126 |
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+ | No log | 0.5231 | 34 | 0.4650 | 0.3983 | 0.4657 |
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+ | No log | 0.5538 | 36 | 0.6042 | 0.2581 | 0.6049 |
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+ | No log | 0.5846 | 38 | 0.5797 | 0.2927 | 0.5804 |
70
+ | No log | 0.6154 | 40 | 0.4671 | 0.3941 | 0.4677 |
71
+ | No log | 0.6462 | 42 | 0.4642 | 0.4488 | 0.4647 |
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+ | No log | 0.6769 | 44 | 0.4843 | 0.5479 | 0.4848 |
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+ | No log | 0.7077 | 46 | 0.4777 | 0.6022 | 0.4781 |
74
+ | No log | 0.7385 | 48 | 0.4644 | 0.5947 | 0.4648 |
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+ | No log | 0.7692 | 50 | 0.3865 | 0.5476 | 0.3870 |
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+ | No log | 0.8 | 52 | 0.3739 | 0.5548 | 0.3743 |
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+ | No log | 0.8308 | 54 | 0.4036 | 0.6030 | 0.4040 |
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+ | No log | 0.8615 | 56 | 0.4922 | 0.6210 | 0.4926 |
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+ | No log | 0.8923 | 58 | 0.5134 | 0.6215 | 0.5138 |
80
+ | No log | 0.9231 | 60 | 0.4476 | 0.6219 | 0.4479 |
81
+ | No log | 0.9538 | 62 | 0.4020 | 0.6279 | 0.4023 |
82
+ | No log | 0.9846 | 64 | 0.3963 | 0.6294 | 0.3966 |
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+ | No log | 1.0154 | 66 | 0.3739 | 0.6026 | 0.3742 |
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+ | No log | 1.0462 | 68 | 0.3901 | 0.6210 | 0.3903 |
85
+ | No log | 1.0769 | 70 | 0.3873 | 0.6134 | 0.3875 |
86
+ | No log | 1.1077 | 72 | 0.4214 | 0.6277 | 0.4215 |
87
+ | No log | 1.1385 | 74 | 0.4557 | 0.6312 | 0.4558 |
88
+ | No log | 1.1692 | 76 | 0.4140 | 0.6287 | 0.4141 |
89
+ | No log | 1.2 | 78 | 0.3723 | 0.5992 | 0.3725 |
90
+ | No log | 1.2308 | 80 | 0.3738 | 0.5884 | 0.3740 |
91
+ | No log | 1.2615 | 82 | 0.3897 | 0.6109 | 0.3898 |
92
+ | No log | 1.2923 | 84 | 0.4131 | 0.6202 | 0.4132 |
93
+ | No log | 1.3231 | 86 | 0.4389 | 0.6198 | 0.4391 |
94
+ | No log | 1.3538 | 88 | 0.4140 | 0.6212 | 0.4142 |
95
+ | No log | 1.3846 | 90 | 0.3720 | 0.6116 | 0.3723 |
96
+ | No log | 1.4154 | 92 | 0.3373 | 0.5762 | 0.3376 |
97
+ | No log | 1.4462 | 94 | 0.3269 | 0.5504 | 0.3273 |
98
+ | No log | 1.4769 | 96 | 0.3340 | 0.6284 | 0.3344 |
99
+ | No log | 1.5077 | 98 | 0.3765 | 0.6424 | 0.3769 |
100
+ | No log | 1.5385 | 100 | 0.4626 | 0.6258 | 0.4631 |
101
+ | No log | 1.5692 | 102 | 0.4455 | 0.6303 | 0.4461 |
102
+ | No log | 1.6 | 104 | 0.3552 | 0.6401 | 0.3558 |
103
+ | No log | 1.6308 | 106 | 0.3091 | 0.5522 | 0.3097 |
104
+ | No log | 1.6615 | 108 | 0.3105 | 0.5415 | 0.3111 |
105
+ | No log | 1.6923 | 110 | 0.3240 | 0.6195 | 0.3247 |
106
+ | No log | 1.7231 | 112 | 0.3762 | 0.6409 | 0.3770 |
107
+ | No log | 1.7538 | 114 | 0.4521 | 0.6156 | 0.4529 |
108
+ | No log | 1.7846 | 116 | 0.4163 | 0.6405 | 0.4170 |
109
+ | No log | 1.8154 | 118 | 0.3626 | 0.6411 | 0.3633 |
110
+ | No log | 1.8462 | 120 | 0.3529 | 0.6359 | 0.3536 |
111
+ | No log | 1.8769 | 122 | 0.3726 | 0.6447 | 0.3734 |
112
+ | No log | 1.9077 | 124 | 0.3840 | 0.6250 | 0.3847 |
113
+ | No log | 1.9385 | 126 | 0.3554 | 0.6208 | 0.3562 |
114
+ | No log | 1.9692 | 128 | 0.3276 | 0.5576 | 0.3285 |
115
+ | No log | 2.0 | 130 | 0.3269 | 0.5270 | 0.3278 |
116
+ | No log | 2.0308 | 132 | 0.3320 | 0.5808 | 0.3328 |
117
+ | No log | 2.0615 | 134 | 0.3699 | 0.6345 | 0.3706 |
118
+ | No log | 2.0923 | 136 | 0.3914 | 0.6391 | 0.3919 |
119
+ | No log | 2.1231 | 138 | 0.3926 | 0.6470 | 0.3932 |
120
+ | No log | 2.1538 | 140 | 0.3570 | 0.6304 | 0.3574 |
121
+ | No log | 2.1846 | 142 | 0.3445 | 0.5527 | 0.3449 |
122
+ | No log | 2.2154 | 144 | 0.3578 | 0.5157 | 0.3582 |
123
+ | No log | 2.2462 | 146 | 0.3503 | 0.5666 | 0.3506 |
124
+ | No log | 2.2769 | 148 | 0.4131 | 0.6374 | 0.4133 |
125
+ | No log | 2.3077 | 150 | 0.5248 | 0.6554 | 0.5249 |
126
+ | No log | 2.3385 | 152 | 0.5552 | 0.6448 | 0.5553 |
127
+ | No log | 2.3692 | 154 | 0.4859 | 0.6509 | 0.4861 |
128
+ | No log | 2.4 | 156 | 0.3954 | 0.6432 | 0.3956 |
129
+ | No log | 2.4308 | 158 | 0.3557 | 0.6127 | 0.3560 |
130
+ | No log | 2.4615 | 160 | 0.3583 | 0.6304 | 0.3585 |
131
+ | No log | 2.4923 | 162 | 0.3558 | 0.6184 | 0.3560 |
132
+ | No log | 2.5231 | 164 | 0.3630 | 0.6348 | 0.3632 |
133
+ | No log | 2.5538 | 166 | 0.3875 | 0.6517 | 0.3877 |
134
+ | No log | 2.5846 | 168 | 0.3741 | 0.6488 | 0.3743 |
135
+ | No log | 2.6154 | 170 | 0.3590 | 0.6356 | 0.3593 |
136
+ | No log | 2.6462 | 172 | 0.3372 | 0.5962 | 0.3375 |
137
+ | No log | 2.6769 | 174 | 0.3386 | 0.6013 | 0.3388 |
138
+ | No log | 2.7077 | 176 | 0.3585 | 0.6326 | 0.3587 |
139
+ | No log | 2.7385 | 178 | 0.3830 | 0.6366 | 0.3832 |
140
+ | No log | 2.7692 | 180 | 0.3715 | 0.6394 | 0.3717 |
141
+ | No log | 2.8 | 182 | 0.3562 | 0.6129 | 0.3564 |
142
+ | No log | 2.8308 | 184 | 0.3686 | 0.6059 | 0.3687 |
143
+ | No log | 2.8615 | 186 | 0.4020 | 0.6375 | 0.4021 |
144
+ | No log | 2.8923 | 188 | 0.4058 | 0.6248 | 0.4058 |
145
+ | No log | 2.9231 | 190 | 0.3896 | 0.6170 | 0.3897 |
146
+ | No log | 2.9538 | 192 | 0.3750 | 0.6119 | 0.3752 |
147
+ | No log | 2.9846 | 194 | 0.3567 | 0.5864 | 0.3570 |
148
+ | No log | 3.0154 | 196 | 0.3520 | 0.5827 | 0.3523 |
149
+ | No log | 3.0462 | 198 | 0.3761 | 0.6138 | 0.3763 |
150
+ | No log | 3.0769 | 200 | 0.4113 | 0.6249 | 0.4115 |
151
+ | No log | 3.1077 | 202 | 0.4565 | 0.6324 | 0.4567 |
152
+ | No log | 3.1385 | 204 | 0.4397 | 0.6308 | 0.4398 |
153
+ | No log | 3.1692 | 206 | 0.4039 | 0.6298 | 0.4041 |
154
+ | No log | 3.2 | 208 | 0.3731 | 0.6179 | 0.3733 |
155
+ | No log | 3.2308 | 210 | 0.3707 | 0.6174 | 0.3709 |
156
+ | No log | 3.2615 | 212 | 0.3995 | 0.6206 | 0.3996 |
157
+ | No log | 3.2923 | 214 | 0.4179 | 0.6259 | 0.4181 |
158
+ | No log | 3.3231 | 216 | 0.4157 | 0.6315 | 0.4159 |
159
+ | No log | 3.3538 | 218 | 0.4204 | 0.6264 | 0.4205 |
160
+ | No log | 3.3846 | 220 | 0.3934 | 0.6247 | 0.3936 |
161
+ | No log | 3.4154 | 222 | 0.3840 | 0.6296 | 0.3842 |
162
+ | No log | 3.4462 | 224 | 0.3688 | 0.6245 | 0.3690 |
163
+ | No log | 3.4769 | 226 | 0.3566 | 0.6139 | 0.3568 |
164
+ | No log | 3.5077 | 228 | 0.3496 | 0.6088 | 0.3499 |
165
+ | No log | 3.5385 | 230 | 0.3631 | 0.6246 | 0.3633 |
166
+ | No log | 3.5692 | 232 | 0.3979 | 0.6243 | 0.3982 |
167
+ | No log | 3.6 | 234 | 0.4009 | 0.6244 | 0.4011 |
168
+ | No log | 3.6308 | 236 | 0.3887 | 0.6232 | 0.3889 |
169
+ | No log | 3.6615 | 238 | 0.3761 | 0.6199 | 0.3764 |
170
+ | No log | 3.6923 | 240 | 0.3744 | 0.6173 | 0.3747 |
171
+ | No log | 3.7231 | 242 | 0.3733 | 0.6157 | 0.3736 |
172
+ | No log | 3.7538 | 244 | 0.3747 | 0.6199 | 0.3749 |
173
+ | No log | 3.7846 | 246 | 0.3837 | 0.6211 | 0.3839 |
174
+ | No log | 3.8154 | 248 | 0.3847 | 0.6274 | 0.3850 |
175
+ | No log | 3.8462 | 250 | 0.3831 | 0.6205 | 0.3834 |
176
+ | No log | 3.8769 | 252 | 0.3816 | 0.6199 | 0.3819 |
177
+ | No log | 3.9077 | 254 | 0.3958 | 0.6242 | 0.3961 |
178
+ | No log | 3.9385 | 256 | 0.3982 | 0.6242 | 0.3985 |
179
+ | No log | 3.9692 | 258 | 0.4001 | 0.6200 | 0.4004 |
180
+ | No log | 4.0 | 260 | 0.4020 | 0.6152 | 0.4022 |
181
+ | No log | 4.0308 | 262 | 0.4158 | 0.6227 | 0.4160 |
182
+ | No log | 4.0615 | 264 | 0.4118 | 0.6227 | 0.4121 |
183
+ | No log | 4.0923 | 266 | 0.4022 | 0.6173 | 0.4025 |
184
+ | No log | 4.1231 | 268 | 0.4025 | 0.6184 | 0.4028 |
185
+ | No log | 4.1538 | 270 | 0.4206 | 0.6190 | 0.4208 |
186
+ | No log | 4.1846 | 272 | 0.4420 | 0.6309 | 0.4422 |
187
+ | No log | 4.2154 | 274 | 0.4818 | 0.6453 | 0.4820 |
188
+ | No log | 4.2462 | 276 | 0.4957 | 0.6506 | 0.4959 |
189
+ | No log | 4.2769 | 278 | 0.4752 | 0.6434 | 0.4754 |
190
+ | No log | 4.3077 | 280 | 0.4413 | 0.6298 | 0.4416 |
191
+ | No log | 4.3385 | 282 | 0.4079 | 0.6117 | 0.4082 |
192
+ | No log | 4.3692 | 284 | 0.3895 | 0.6052 | 0.3898 |
193
+ | No log | 4.4 | 286 | 0.3731 | 0.6013 | 0.3734 |
194
+ | No log | 4.4308 | 288 | 0.3693 | 0.5932 | 0.3697 |
195
+ | No log | 4.4615 | 290 | 0.3701 | 0.5952 | 0.3705 |
196
+ | No log | 4.4923 | 292 | 0.3759 | 0.6067 | 0.3763 |
197
+ | No log | 4.5231 | 294 | 0.3872 | 0.6169 | 0.3875 |
198
+ | No log | 4.5538 | 296 | 0.4009 | 0.6131 | 0.4012 |
199
+ | No log | 4.5846 | 298 | 0.4136 | 0.6120 | 0.4139 |
200
+ | No log | 4.6154 | 300 | 0.4345 | 0.6288 | 0.4348 |
201
+ | No log | 4.6462 | 302 | 0.4442 | 0.6402 | 0.4445 |
202
+ | No log | 4.6769 | 304 | 0.4404 | 0.6380 | 0.4407 |
203
+ | No log | 4.7077 | 306 | 0.4287 | 0.6233 | 0.4291 |
204
+ | No log | 4.7385 | 308 | 0.4234 | 0.6184 | 0.4237 |
205
+ | No log | 4.7692 | 310 | 0.4168 | 0.6205 | 0.4171 |
206
+ | No log | 4.8 | 312 | 0.4091 | 0.6173 | 0.4095 |
207
+ | No log | 4.8308 | 314 | 0.4006 | 0.6179 | 0.4009 |
208
+ | No log | 4.8615 | 316 | 0.3935 | 0.6189 | 0.3938 |
209
+ | No log | 4.8923 | 318 | 0.3890 | 0.6189 | 0.3894 |
210
+ | No log | 4.9231 | 320 | 0.3871 | 0.6142 | 0.3875 |
211
+ | No log | 4.9538 | 322 | 0.3868 | 0.6142 | 0.3872 |
212
+ | No log | 4.9846 | 324 | 0.3865 | 0.6205 | 0.3868 |
213
 
214
 
215
  ### Framework versions
runs/Aug25_05-41-07_358cdae836c1/events.out.tfevents.1724564469.358cdae836c1.24.0 ADDED
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runs/Aug25_06-04-04_358cdae836c1/events.out.tfevents.1724565845.358cdae836c1.24.1 ADDED
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runs/Aug25_06-50-00_358cdae836c1/events.out.tfevents.1724568601.358cdae836c1.24.3 ADDED
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