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bert_baseline_language_task3_fold0

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  1. README.md +177 -169
  2. runs/Aug25_05-41-07_358cdae836c1/events.out.tfevents.1724564469.358cdae836c1.24.0 +3 -0
  3. runs/Aug25_06-04-04_358cdae836c1/events.out.tfevents.1724565845.358cdae836c1.24.1 +3 -0
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  6. runs/Aug25_07-12-58_358cdae836c1/events.out.tfevents.1724569978.358cdae836c1.24.4 +3 -0
  7. runs/Aug25_07-35-55_358cdae836c1/events.out.tfevents.1724571356.358cdae836c1.24.5 +3 -0
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  9. runs/Aug25_08-24-05_358cdae836c1/events.out.tfevents.1724574246.358cdae836c1.24.7 +3 -0
  10. runs/Aug25_08-48-17_358cdae836c1/events.out.tfevents.1724575698.358cdae836c1.24.8 +3 -0
  11. runs/Aug25_09-12-24_358cdae836c1/events.out.tfevents.1724577145.358cdae836c1.24.9 +3 -0
  12. runs/Aug25_09-36-31_358cdae836c1/events.out.tfevents.1724578591.358cdae836c1.24.10 +3 -0
  13. runs/Aug25_10-01-23_358cdae836c1/events.out.tfevents.1724580084.358cdae836c1.24.11 +3 -0
  14. runs/Aug25_10-26-23_358cdae836c1/events.out.tfevents.1724581584.358cdae836c1.24.12 +3 -0
  15. runs/Aug25_10-51-26_358cdae836c1/events.out.tfevents.1724583087.358cdae836c1.24.13 +3 -0
  16. runs/Aug25_11-16-26_358cdae836c1/events.out.tfevents.1724584587.358cdae836c1.24.14 +3 -0
  17. runs/Aug25_11-41-27_358cdae836c1/events.out.tfevents.1724586087.358cdae836c1.24.15 +3 -0
  18. runs/Aug25_12-06-23_358cdae836c1/events.out.tfevents.1724587584.358cdae836c1.24.16 +3 -0
  19. runs/Aug25_12-31-14_358cdae836c1/events.out.tfevents.1724589075.358cdae836c1.24.17 +3 -0
  20. runs/Aug25_12-56-11_358cdae836c1/events.out.tfevents.1724590572.358cdae836c1.24.18 +3 -0
  21. runs/Aug25_13-21-09_358cdae836c1/events.out.tfevents.1724592070.358cdae836c1.24.19 +3 -0
  22. runs/Aug25_13-46-06_358cdae836c1/events.out.tfevents.1724593567.358cdae836c1.24.20 +3 -0
  23. training_args.bin +1 -1
README.md CHANGED
@@ -4,20 +4,20 @@ base_model: google-bert/bert-base-cased
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  tags:
5
  - generated_from_trainer
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  model-index:
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- - name: bert_baseline_language_task3_fold0
8
  results: []
9
  ---
10
 
11
  <!-- 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. -->
13
 
14
- # bert_baseline_language_task3_fold0
15
 
16
  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: 0.3521
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- - Qwk: 0.7259
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- - Mse: 0.3521
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  ## Model description
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@@ -46,170 +46,178 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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- |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
51
- | No log | 0.0308 | 2 | 1.0742 | 0.0 | 1.0742 |
52
- | No log | 0.0615 | 4 | 0.8838 | 0.1229 | 0.8838 |
53
- | No log | 0.0923 | 6 | 0.8019 | 0.0086 | 0.8019 |
54
- | No log | 0.1231 | 8 | 0.7092 | 0.0 | 0.7092 |
55
- | No log | 0.1538 | 10 | 0.6954 | 0.0 | 0.6954 |
56
- | No log | 0.1846 | 12 | 0.6837 | 0.0 | 0.6837 |
57
- | No log | 0.2154 | 14 | 0.6200 | 0.0111 | 0.6200 |
58
- | No log | 0.2462 | 16 | 0.5494 | 0.0363 | 0.5494 |
59
- | No log | 0.2769 | 18 | 0.5037 | 0.1702 | 0.5037 |
60
- | No log | 0.3077 | 20 | 0.4594 | 0.2243 | 0.4594 |
61
- | No log | 0.3385 | 22 | 0.4261 | 0.3596 | 0.4261 |
62
- | No log | 0.3692 | 24 | 0.5071 | 0.6227 | 0.5071 |
63
- | No log | 0.4 | 26 | 0.5464 | 0.6449 | 0.5464 |
64
- | No log | 0.4308 | 28 | 0.4211 | 0.6562 | 0.4211 |
65
- | No log | 0.4615 | 30 | 0.3431 | 0.4949 | 0.3431 |
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- | No log | 0.4923 | 32 | 0.3872 | 0.3807 | 0.3872 |
67
- | No log | 0.5231 | 34 | 0.3260 | 0.5141 | 0.3260 |
68
- | No log | 0.5538 | 36 | 0.3611 | 0.6467 | 0.3611 |
69
- | No log | 0.5846 | 38 | 0.4185 | 0.6712 | 0.4185 |
70
- | No log | 0.6154 | 40 | 0.3818 | 0.6453 | 0.3818 |
71
- | No log | 0.6462 | 42 | 0.3356 | 0.5296 | 0.3356 |
72
- | No log | 0.6769 | 44 | 0.3301 | 0.4987 | 0.3301 |
73
- | No log | 0.7077 | 46 | 0.3296 | 0.5764 | 0.3296 |
74
- | No log | 0.7385 | 48 | 0.3297 | 0.6715 | 0.3297 |
75
- | No log | 0.7692 | 50 | 0.3795 | 0.7089 | 0.3795 |
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- | No log | 0.8 | 52 | 0.3864 | 0.7284 | 0.3864 |
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- | No log | 0.8308 | 54 | 0.3003 | 0.6952 | 0.3003 |
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- | No log | 0.8615 | 56 | 0.2974 | 0.6972 | 0.2974 |
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- | No log | 0.8923 | 58 | 0.3138 | 0.7211 | 0.3138 |
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- | No log | 0.9231 | 60 | 0.3076 | 0.7133 | 0.3076 |
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- | No log | 0.9538 | 62 | 0.2889 | 0.6958 | 0.2889 |
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- | No log | 0.9846 | 64 | 0.2828 | 0.6949 | 0.2828 |
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- | No log | 1.0154 | 66 | 0.2738 | 0.6786 | 0.2738 |
84
- | No log | 1.0462 | 68 | 0.3007 | 0.7167 | 0.3007 |
85
- | No log | 1.0769 | 70 | 0.3616 | 0.7565 | 0.3616 |
86
- | No log | 1.1077 | 72 | 0.3960 | 0.7570 | 0.3960 |
87
- | No log | 1.1385 | 74 | 0.3368 | 0.7463 | 0.3368 |
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- | No log | 1.1692 | 76 | 0.3325 | 0.7458 | 0.3325 |
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- | No log | 1.2 | 78 | 0.3085 | 0.7053 | 0.3085 |
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- | No log | 1.2308 | 80 | 0.3061 | 0.6892 | 0.3061 |
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- | No log | 1.2615 | 82 | 0.3265 | 0.7044 | 0.3265 |
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- | No log | 1.2923 | 84 | 0.3128 | 0.6883 | 0.3128 |
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- | No log | 1.3231 | 86 | 0.2996 | 0.6739 | 0.2996 |
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- | No log | 1.3538 | 88 | 0.3186 | 0.7086 | 0.3186 |
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- | No log | 1.3846 | 90 | 0.3512 | 0.7429 | 0.3512 |
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- | No log | 1.4154 | 92 | 0.3173 | 0.7394 | 0.3173 |
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- | No log | 1.4462 | 94 | 0.2839 | 0.7018 | 0.2839 |
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- | No log | 1.4769 | 96 | 0.2950 | 0.7105 | 0.2950 |
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- | No log | 1.5077 | 98 | 0.2774 | 0.6970 | 0.2774 |
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- | No log | 1.5385 | 100 | 0.2906 | 0.7139 | 0.2906 |
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- | No log | 1.5692 | 102 | 0.3236 | 0.7346 | 0.3236 |
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- | No log | 1.6 | 104 | 0.3657 | 0.7527 | 0.3657 |
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- | No log | 1.6308 | 106 | 0.3119 | 0.7308 | 0.3119 |
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- | No log | 1.6615 | 108 | 0.2950 | 0.7069 | 0.2950 |
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- | No log | 1.6923 | 110 | 0.3509 | 0.7490 | 0.3509 |
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- | No log | 1.7231 | 112 | 0.3472 | 0.7465 | 0.3472 |
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- | No log | 1.7538 | 114 | 0.3468 | 0.7310 | 0.3468 |
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- | No log | 1.7846 | 116 | 0.3669 | 0.7451 | 0.3669 |
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- | No log | 1.8154 | 118 | 0.3531 | 0.7270 | 0.3531 |
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- | No log | 1.8462 | 120 | 0.2999 | 0.6697 | 0.2999 |
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- | No log | 1.8769 | 122 | 0.2856 | 0.6024 | 0.2856 |
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- | No log | 1.9077 | 124 | 0.3008 | 0.6348 | 0.3008 |
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- | No log | 1.9385 | 126 | 0.3631 | 0.7219 | 0.3631 |
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- | No log | 1.9692 | 128 | 0.4466 | 0.7200 | 0.4466 |
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- | No log | 2.0 | 130 | 0.4460 | 0.7224 | 0.4460 |
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- | No log | 2.0308 | 132 | 0.3585 | 0.7346 | 0.3585 |
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- | No log | 2.0615 | 134 | 0.2877 | 0.6459 | 0.2877 |
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- | No log | 2.0923 | 136 | 0.2703 | 0.6297 | 0.2703 |
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- | No log | 2.1231 | 138 | 0.2669 | 0.5792 | 0.2669 |
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- | No log | 2.1538 | 140 | 0.2644 | 0.6690 | 0.2644 |
121
- | No log | 2.1846 | 142 | 0.3319 | 0.7553 | 0.3319 |
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- | No log | 2.2154 | 144 | 0.4866 | 0.7578 | 0.4866 |
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- | No log | 2.2462 | 146 | 0.5160 | 0.7452 | 0.5160 |
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- | No log | 2.2769 | 148 | 0.4060 | 0.7715 | 0.4060 |
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- | No log | 2.3077 | 150 | 0.2809 | 0.7028 | 0.2809 |
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- | No log | 2.3385 | 152 | 0.2666 | 0.6490 | 0.2666 |
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- | No log | 2.3692 | 154 | 0.2702 | 0.6734 | 0.2702 |
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- | No log | 2.4 | 156 | 0.3248 | 0.7305 | 0.3248 |
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- | No log | 2.4308 | 158 | 0.3987 | 0.7541 | 0.3987 |
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- | No log | 2.4615 | 160 | 0.3924 | 0.7507 | 0.3924 |
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- | No log | 2.4923 | 162 | 0.3604 | 0.7412 | 0.3604 |
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- | No log | 2.5231 | 164 | 0.3018 | 0.7298 | 0.3018 |
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- | No log | 2.5538 | 166 | 0.2686 | 0.6738 | 0.2686 |
134
- | No log | 2.5846 | 168 | 0.2798 | 0.6968 | 0.2798 |
135
- | No log | 2.6154 | 170 | 0.3557 | 0.7535 | 0.3557 |
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- | No log | 2.6462 | 172 | 0.5145 | 0.7654 | 0.5145 |
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- | No log | 2.6769 | 174 | 0.5778 | 0.7627 | 0.5778 |
138
- | No log | 2.7077 | 176 | 0.4912 | 0.7674 | 0.4912 |
139
- | No log | 2.7385 | 178 | 0.3387 | 0.7496 | 0.3387 |
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- | No log | 2.7692 | 180 | 0.2719 | 0.6639 | 0.2719 |
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- | No log | 2.8 | 182 | 0.2694 | 0.6642 | 0.2694 |
142
- | No log | 2.8308 | 184 | 0.2966 | 0.7089 | 0.2966 |
143
- | No log | 2.8615 | 186 | 0.3209 | 0.7242 | 0.3209 |
144
- | No log | 2.8923 | 188 | 0.3196 | 0.7123 | 0.3196 |
145
- | No log | 2.9231 | 190 | 0.3256 | 0.7156 | 0.3256 |
146
- | No log | 2.9538 | 192 | 0.3261 | 0.7146 | 0.3261 |
147
- | No log | 2.9846 | 194 | 0.3171 | 0.7089 | 0.3171 |
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- | No log | 3.0154 | 196 | 0.3257 | 0.7122 | 0.3257 |
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- | No log | 3.0462 | 198 | 0.3421 | 0.7065 | 0.3421 |
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- | No log | 3.0769 | 200 | 0.3635 | 0.7217 | 0.3635 |
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- | No log | 3.1077 | 202 | 0.3288 | 0.7127 | 0.3288 |
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- | No log | 3.1385 | 204 | 0.3160 | 0.7000 | 0.3160 |
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- | No log | 3.1692 | 206 | 0.3393 | 0.7142 | 0.3393 |
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- | No log | 3.2 | 208 | 0.3507 | 0.7184 | 0.3507 |
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- | No log | 3.2308 | 210 | 0.3357 | 0.7119 | 0.3357 |
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- | No log | 3.2615 | 212 | 0.3227 | 0.7097 | 0.3227 |
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- | No log | 3.2923 | 214 | 0.3567 | 0.7279 | 0.3567 |
158
- | No log | 3.3231 | 216 | 0.3730 | 0.7243 | 0.3730 |
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- | No log | 3.3538 | 218 | 0.4105 | 0.7402 | 0.4105 |
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- | No log | 3.3846 | 220 | 0.4438 | 0.7452 | 0.4438 |
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- | No log | 3.4154 | 222 | 0.3973 | 0.7482 | 0.3973 |
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- | No log | 3.4462 | 224 | 0.3496 | 0.7269 | 0.3496 |
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- | No log | 3.4769 | 226 | 0.3634 | 0.7325 | 0.3634 |
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- | No log | 3.5077 | 228 | 0.3641 | 0.7345 | 0.3641 |
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- | No log | 3.5385 | 230 | 0.3980 | 0.7422 | 0.3980 |
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- | No log | 3.5692 | 232 | 0.3894 | 0.7469 | 0.3894 |
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- | No log | 3.6 | 234 | 0.3401 | 0.7209 | 0.3401 |
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- | No log | 3.6308 | 236 | 0.2998 | 0.6977 | 0.2998 |
169
- | No log | 3.6615 | 238 | 0.3036 | 0.7083 | 0.3036 |
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- | No log | 3.6923 | 240 | 0.3472 | 0.7299 | 0.3472 |
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- | No log | 3.7231 | 242 | 0.4207 | 0.7555 | 0.4207 |
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- | No log | 3.7538 | 244 | 0.4344 | 0.7661 | 0.4344 |
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- | No log | 3.7846 | 246 | 0.3979 | 0.7539 | 0.3979 |
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- | No log | 3.8154 | 248 | 0.3403 | 0.7074 | 0.3403 |
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- | No log | 3.8462 | 250 | 0.3189 | 0.6990 | 0.3189 |
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- | No log | 3.8769 | 252 | 0.3197 | 0.6990 | 0.3197 |
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- | No log | 3.9077 | 254 | 0.3434 | 0.7109 | 0.3434 |
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- | No log | 3.9385 | 256 | 0.3713 | 0.7356 | 0.3713 |
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- | No log | 3.9692 | 258 | 0.4017 | 0.7487 | 0.4017 |
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- | No log | 4.0 | 260 | 0.4081 | 0.7449 | 0.4081 |
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- | No log | 4.0308 | 262 | 0.4139 | 0.7494 | 0.4139 |
182
- | No log | 4.0615 | 264 | 0.3796 | 0.7418 | 0.3796 |
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- | No log | 4.0923 | 266 | 0.3484 | 0.7227 | 0.3484 |
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- | No log | 4.1231 | 268 | 0.3313 | 0.7029 | 0.3313 |
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- | No log | 4.1538 | 270 | 0.3159 | 0.7044 | 0.3159 |
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- | No log | 4.1846 | 272 | 0.3217 | 0.7087 | 0.3217 |
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- | No log | 4.2154 | 274 | 0.3284 | 0.7084 | 0.3284 |
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- | No log | 4.2462 | 276 | 0.3511 | 0.7292 | 0.3511 |
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- | No log | 4.2769 | 278 | 0.3811 | 0.7486 | 0.3811 |
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- | No log | 4.3077 | 280 | 0.3992 | 0.7491 | 0.3992 |
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- | No log | 4.3385 | 282 | 0.3909 | 0.7470 | 0.3909 |
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- | No log | 4.3692 | 284 | 0.3704 | 0.7361 | 0.3704 |
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- | No log | 4.4 | 286 | 0.3576 | 0.7266 | 0.3576 |
194
- | No log | 4.4308 | 288 | 0.3437 | 0.7170 | 0.3437 |
195
- | No log | 4.4615 | 290 | 0.3401 | 0.7157 | 0.3401 |
196
- | No log | 4.4923 | 292 | 0.3461 | 0.7221 | 0.3461 |
197
- | No log | 4.5231 | 294 | 0.3697 | 0.7311 | 0.3697 |
198
- | No log | 4.5538 | 296 | 0.4014 | 0.7583 | 0.4014 |
199
- | No log | 4.5846 | 298 | 0.4056 | 0.7603 | 0.4056 |
200
- | No log | 4.6154 | 300 | 0.3995 | 0.7583 | 0.3995 |
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- | No log | 4.6462 | 302 | 0.3932 | 0.7532 | 0.3932 |
202
- | No log | 4.6769 | 304 | 0.3791 | 0.7385 | 0.3791 |
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- | No log | 4.7077 | 306 | 0.3658 | 0.7392 | 0.3658 |
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- | No log | 4.7385 | 308 | 0.3571 | 0.7321 | 0.3571 |
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- | No log | 4.7692 | 310 | 0.3445 | 0.7166 | 0.3445 |
206
- | No log | 4.8 | 312 | 0.3390 | 0.7175 | 0.3390 |
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- | No log | 4.8308 | 314 | 0.3394 | 0.7177 | 0.3394 |
208
- | No log | 4.8615 | 316 | 0.3438 | 0.7157 | 0.3438 |
209
- | No log | 4.8923 | 318 | 0.3471 | 0.7159 | 0.3471 |
210
- | No log | 4.9231 | 320 | 0.3502 | 0.7209 | 0.3502 |
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- | No log | 4.9538 | 322 | 0.3516 | 0.7259 | 0.3516 |
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- | No log | 4.9846 | 324 | 0.3521 | 0.7259 | 0.3521 |
 
 
 
 
 
 
 
 
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  ### Framework versions
 
4
  tags:
5
  - generated_from_trainer
6
  model-index:
7
+ - name: bert_baseline_prompt_adherence_task6_fold4
8
  results: []
9
  ---
10
 
11
  <!-- 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_task6_fold4
15
 
16
  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.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.3140
19
+ - Qwk: 0.7355
20
+ - Mse: 0.3140
21
 
22
  ## Model description
23
 
 
46
 
47
  ### Training results
48
 
49
+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
50
+ |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
51
+ | No log | 0.0294 | 2 | 1.7731 | 0.0 | 1.7731 |
52
+ | No log | 0.0588 | 4 | 1.5249 | -0.0355 | 1.5249 |
53
+ | No log | 0.0882 | 6 | 1.3394 | 0.0063 | 1.3394 |
54
+ | No log | 0.1176 | 8 | 1.0928 | 0.0063 | 1.0928 |
55
+ | No log | 0.1471 | 10 | 0.9324 | 0.0 | 0.9324 |
56
+ | No log | 0.1765 | 12 | 0.8722 | 0.0 | 0.8722 |
57
+ | No log | 0.2059 | 14 | 0.8033 | 0.0496 | 0.8033 |
58
+ | No log | 0.2353 | 16 | 0.7505 | 0.2215 | 0.7505 |
59
+ | No log | 0.2647 | 18 | 0.7181 | 0.2184 | 0.7181 |
60
+ | No log | 0.2941 | 20 | 0.6872 | 0.4284 | 0.6872 |
61
+ | No log | 0.3235 | 22 | 0.7688 | 0.3774 | 0.7688 |
62
+ | No log | 0.3529 | 24 | 0.5964 | 0.3975 | 0.5964 |
63
+ | No log | 0.3824 | 26 | 0.6008 | 0.2741 | 0.6008 |
64
+ | No log | 0.4118 | 28 | 0.5457 | 0.3797 | 0.5457 |
65
+ | No log | 0.4412 | 30 | 0.5244 | 0.4100 | 0.5244 |
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+ | No log | 0.4706 | 32 | 0.5016 | 0.4511 | 0.5016 |
67
+ | No log | 0.5 | 34 | 0.5591 | 0.4587 | 0.5591 |
68
+ | No log | 0.5294 | 36 | 0.5077 | 0.4939 | 0.5077 |
69
+ | No log | 0.5588 | 38 | 0.4706 | 0.4977 | 0.4706 |
70
+ | No log | 0.5882 | 40 | 0.4432 | 0.4991 | 0.4432 |
71
+ | No log | 0.6176 | 42 | 0.4155 | 0.5372 | 0.4155 |
72
+ | No log | 0.6471 | 44 | 0.4768 | 0.6194 | 0.4768 |
73
+ | No log | 0.6765 | 46 | 0.5242 | 0.6172 | 0.5242 |
74
+ | No log | 0.7059 | 48 | 0.4671 | 0.6175 | 0.4671 |
75
+ | No log | 0.7353 | 50 | 0.3960 | 0.6193 | 0.3960 |
76
+ | No log | 0.7647 | 52 | 0.4175 | 0.5536 | 0.4175 |
77
+ | No log | 0.7941 | 54 | 0.3733 | 0.6438 | 0.3733 |
78
+ | No log | 0.8235 | 56 | 0.4495 | 0.6714 | 0.4495 |
79
+ | No log | 0.8529 | 58 | 0.4330 | 0.6759 | 0.4330 |
80
+ | No log | 0.8824 | 60 | 0.3958 | 0.6733 | 0.3958 |
81
+ | No log | 0.9118 | 62 | 0.3887 | 0.6597 | 0.3887 |
82
+ | No log | 0.9412 | 64 | 0.3779 | 0.6713 | 0.3779 |
83
+ | No log | 0.9706 | 66 | 0.3633 | 0.6598 | 0.3633 |
84
+ | No log | 1.0 | 68 | 0.3660 | 0.6661 | 0.3660 |
85
+ | No log | 1.0294 | 70 | 0.3679 | 0.6801 | 0.3679 |
86
+ | No log | 1.0588 | 72 | 0.4033 | 0.6939 | 0.4033 |
87
+ | No log | 1.0882 | 74 | 0.3593 | 0.6694 | 0.3593 |
88
+ | No log | 1.1176 | 76 | 0.3401 | 0.6566 | 0.3401 |
89
+ | No log | 1.1471 | 78 | 0.4047 | 0.7308 | 0.4047 |
90
+ | No log | 1.1765 | 80 | 0.3792 | 0.7128 | 0.3792 |
91
+ | No log | 1.2059 | 82 | 0.3576 | 0.6205 | 0.3576 |
92
+ | No log | 1.2353 | 84 | 0.3725 | 0.5982 | 0.3725 |
93
+ | No log | 1.2647 | 86 | 0.3609 | 0.6493 | 0.3609 |
94
+ | No log | 1.2941 | 88 | 0.3487 | 0.6491 | 0.3487 |
95
+ | No log | 1.3235 | 90 | 0.3444 | 0.6190 | 0.3444 |
96
+ | No log | 1.3529 | 92 | 0.3382 | 0.6528 | 0.3382 |
97
+ | No log | 1.3824 | 94 | 0.4003 | 0.6808 | 0.4003 |
98
+ | No log | 1.4118 | 96 | 0.3485 | 0.6639 | 0.3485 |
99
+ | No log | 1.4412 | 98 | 0.3436 | 0.5977 | 0.3436 |
100
+ | No log | 1.4706 | 100 | 0.3353 | 0.6044 | 0.3353 |
101
+ | No log | 1.5 | 102 | 0.3425 | 0.6683 | 0.3425 |
102
+ | No log | 1.5294 | 104 | 0.3614 | 0.6788 | 0.3614 |
103
+ | No log | 1.5588 | 106 | 0.3180 | 0.6736 | 0.3180 |
104
+ | No log | 1.5882 | 108 | 0.3011 | 0.6451 | 0.3011 |
105
+ | No log | 1.6176 | 110 | 0.3116 | 0.6776 | 0.3116 |
106
+ | No log | 1.6471 | 112 | 0.3225 | 0.6770 | 0.3225 |
107
+ | No log | 1.6765 | 114 | 0.3064 | 0.6724 | 0.3064 |
108
+ | No log | 1.7059 | 116 | 0.2963 | 0.6510 | 0.2963 |
109
+ | No log | 1.7353 | 118 | 0.3046 | 0.6722 | 0.3046 |
110
+ | No log | 1.7647 | 120 | 0.4046 | 0.7168 | 0.4046 |
111
+ | No log | 1.7941 | 122 | 0.4861 | 0.7029 | 0.4861 |
112
+ | No log | 1.8235 | 124 | 0.3696 | 0.7054 | 0.3696 |
113
+ | No log | 1.8529 | 126 | 0.3163 | 0.6432 | 0.3163 |
114
+ | No log | 1.8824 | 128 | 0.3631 | 0.5751 | 0.3631 |
115
+ | No log | 1.9118 | 130 | 0.3209 | 0.6215 | 0.3209 |
116
+ | No log | 1.9412 | 132 | 0.3080 | 0.6676 | 0.3080 |
117
+ | No log | 1.9706 | 134 | 0.3557 | 0.7102 | 0.3557 |
118
+ | No log | 2.0 | 136 | 0.4403 | 0.7214 | 0.4403 |
119
+ | No log | 2.0294 | 138 | 0.4122 | 0.7260 | 0.4122 |
120
+ | No log | 2.0588 | 140 | 0.3123 | 0.6990 | 0.3123 |
121
+ | No log | 2.0882 | 142 | 0.3288 | 0.5868 | 0.3288 |
122
+ | No log | 2.1176 | 144 | 0.4142 | 0.5123 | 0.4142 |
123
+ | No log | 2.1471 | 146 | 0.3557 | 0.5771 | 0.3557 |
124
+ | No log | 2.1765 | 148 | 0.2977 | 0.6870 | 0.2977 |
125
+ | No log | 2.2059 | 150 | 0.3840 | 0.7335 | 0.3840 |
126
+ | No log | 2.2353 | 152 | 0.3987 | 0.7550 | 0.3987 |
127
+ | No log | 2.2647 | 154 | 0.3107 | 0.7115 | 0.3107 |
128
+ | No log | 2.2941 | 156 | 0.3032 | 0.6222 | 0.3032 |
129
+ | No log | 2.3235 | 158 | 0.3221 | 0.5907 | 0.3221 |
130
+ | No log | 2.3529 | 160 | 0.2993 | 0.6363 | 0.2993 |
131
+ | No log | 2.3824 | 162 | 0.2911 | 0.6587 | 0.2911 |
132
+ | No log | 2.4118 | 164 | 0.2982 | 0.6949 | 0.2982 |
133
+ | No log | 2.4412 | 166 | 0.3440 | 0.7431 | 0.3440 |
134
+ | No log | 2.4706 | 168 | 0.3482 | 0.7596 | 0.3482 |
135
+ | No log | 2.5 | 170 | 0.2934 | 0.6929 | 0.2934 |
136
+ | No log | 2.5294 | 172 | 0.3095 | 0.6149 | 0.3095 |
137
+ | No log | 2.5588 | 174 | 0.3005 | 0.6227 | 0.3005 |
138
+ | No log | 2.5882 | 176 | 0.2882 | 0.6912 | 0.2882 |
139
+ | No log | 2.6176 | 178 | 0.3117 | 0.7172 | 0.3117 |
140
+ | No log | 2.6471 | 180 | 0.3361 | 0.7213 | 0.3361 |
141
+ | No log | 2.6765 | 182 | 0.3066 | 0.6892 | 0.3066 |
142
+ | No log | 2.7059 | 184 | 0.2959 | 0.6777 | 0.2959 |
143
+ | No log | 2.7353 | 186 | 0.2988 | 0.6323 | 0.2988 |
144
+ | No log | 2.7647 | 188 | 0.2937 | 0.6654 | 0.2937 |
145
+ | No log | 2.7941 | 190 | 0.3078 | 0.6989 | 0.3078 |
146
+ | No log | 2.8235 | 192 | 0.3538 | 0.7279 | 0.3538 |
147
+ | No log | 2.8529 | 194 | 0.3596 | 0.7439 | 0.3596 |
148
+ | No log | 2.8824 | 196 | 0.3188 | 0.7230 | 0.3188 |
149
+ | No log | 2.9118 | 198 | 0.2966 | 0.6588 | 0.2966 |
150
+ | No log | 2.9412 | 200 | 0.3129 | 0.625 | 0.3129 |
151
+ | No log | 2.9706 | 202 | 0.2986 | 0.6571 | 0.2986 |
152
+ | No log | 3.0 | 204 | 0.3074 | 0.7078 | 0.3074 |
153
+ | No log | 3.0294 | 206 | 0.3579 | 0.7419 | 0.3579 |
154
+ | No log | 3.0588 | 208 | 0.3908 | 0.7443 | 0.3908 |
155
+ | No log | 3.0882 | 210 | 0.3664 | 0.7492 | 0.3664 |
156
+ | No log | 3.1176 | 212 | 0.3036 | 0.7114 | 0.3036 |
157
+ | No log | 3.1471 | 214 | 0.3011 | 0.6291 | 0.3011 |
158
+ | No log | 3.1765 | 216 | 0.3126 | 0.6087 | 0.3126 |
159
+ | No log | 3.2059 | 218 | 0.2970 | 0.6413 | 0.2970 |
160
+ | No log | 3.2353 | 220 | 0.3062 | 0.7192 | 0.3062 |
161
+ | No log | 3.2647 | 222 | 0.3390 | 0.7308 | 0.3390 |
162
+ | No log | 3.2941 | 224 | 0.3515 | 0.7299 | 0.3515 |
163
+ | No log | 3.3235 | 226 | 0.3199 | 0.7283 | 0.3199 |
164
+ | No log | 3.3529 | 228 | 0.2997 | 0.7073 | 0.2997 |
165
+ | No log | 3.3824 | 230 | 0.2946 | 0.6991 | 0.2946 |
166
+ | No log | 3.4118 | 232 | 0.3023 | 0.7173 | 0.3023 |
167
+ | No log | 3.4412 | 234 | 0.3074 | 0.7180 | 0.3074 |
168
+ | No log | 3.4706 | 236 | 0.3019 | 0.7045 | 0.3019 |
169
+ | No log | 3.5 | 238 | 0.2905 | 0.6931 | 0.2905 |
170
+ | No log | 3.5294 | 240 | 0.2957 | 0.7056 | 0.2957 |
171
+ | No log | 3.5588 | 242 | 0.2920 | 0.7135 | 0.2920 |
172
+ | No log | 3.5882 | 244 | 0.2826 | 0.6959 | 0.2826 |
173
+ | No log | 3.6176 | 246 | 0.2840 | 0.6513 | 0.2840 |
174
+ | No log | 3.6471 | 248 | 0.2867 | 0.6470 | 0.2867 |
175
+ | No log | 3.6765 | 250 | 0.2838 | 0.6926 | 0.2838 |
176
+ | No log | 3.7059 | 252 | 0.3129 | 0.7375 | 0.3129 |
177
+ | No log | 3.7353 | 254 | 0.3778 | 0.7924 | 0.3778 |
178
+ | No log | 3.7647 | 256 | 0.3806 | 0.7984 | 0.3806 |
179
+ | No log | 3.7941 | 258 | 0.3375 | 0.7697 | 0.3375 |
180
+ | No log | 3.8235 | 260 | 0.3166 | 0.7362 | 0.3166 |
181
+ | No log | 3.8529 | 262 | 0.3073 | 0.7274 | 0.3073 |
182
+ | No log | 3.8824 | 264 | 0.2995 | 0.7215 | 0.2995 |
183
+ | No log | 3.9118 | 266 | 0.2894 | 0.7029 | 0.2894 |
184
+ | No log | 3.9412 | 268 | 0.2851 | 0.6823 | 0.2851 |
185
+ | No log | 3.9706 | 270 | 0.2883 | 0.7121 | 0.2883 |
186
+ | No log | 4.0 | 272 | 0.3028 | 0.7266 | 0.3028 |
187
+ | No log | 4.0294 | 274 | 0.3086 | 0.7235 | 0.3086 |
188
+ | No log | 4.0588 | 276 | 0.3139 | 0.7331 | 0.3139 |
189
+ | No log | 4.0882 | 278 | 0.2997 | 0.7202 | 0.2997 |
190
+ | No log | 4.1176 | 280 | 0.2916 | 0.7012 | 0.2916 |
191
+ | No log | 4.1471 | 282 | 0.2878 | 0.6852 | 0.2878 |
192
+ | No log | 4.1765 | 284 | 0.2851 | 0.6679 | 0.2851 |
193
+ | No log | 4.2059 | 286 | 0.2852 | 0.6684 | 0.2852 |
194
+ | No log | 4.2353 | 288 | 0.2875 | 0.6871 | 0.2875 |
195
+ | No log | 4.2647 | 290 | 0.2872 | 0.6868 | 0.2872 |
196
+ | No log | 4.2941 | 292 | 0.2893 | 0.6988 | 0.2893 |
197
+ | No log | 4.3235 | 294 | 0.2893 | 0.6995 | 0.2893 |
198
+ | No log | 4.3529 | 296 | 0.2971 | 0.7215 | 0.2971 |
199
+ | No log | 4.3824 | 298 | 0.3064 | 0.7294 | 0.3064 |
200
+ | No log | 4.4118 | 300 | 0.3035 | 0.7303 | 0.3035 |
201
+ | No log | 4.4412 | 302 | 0.3049 | 0.7285 | 0.3049 |
202
+ | No log | 4.4706 | 304 | 0.3111 | 0.7348 | 0.3111 |
203
+ | No log | 4.5 | 306 | 0.3044 | 0.7264 | 0.3044 |
204
+ | No log | 4.5294 | 308 | 0.3038 | 0.7280 | 0.3038 |
205
+ | No log | 4.5588 | 310 | 0.3029 | 0.7242 | 0.3029 |
206
+ | No log | 4.5882 | 312 | 0.2988 | 0.7206 | 0.2988 |
207
+ | No log | 4.6176 | 314 | 0.2982 | 0.7202 | 0.2982 |
208
+ | No log | 4.6471 | 316 | 0.3030 | 0.7271 | 0.3030 |
209
+ | No log | 4.6765 | 318 | 0.3070 | 0.7312 | 0.3070 |
210
+ | No log | 4.7059 | 320 | 0.3086 | 0.7359 | 0.3086 |
211
+ | No log | 4.7353 | 322 | 0.3153 | 0.7364 | 0.3153 |
212
+ | No log | 4.7647 | 324 | 0.3182 | 0.7403 | 0.3182 |
213
+ | No log | 4.7941 | 326 | 0.3219 | 0.7432 | 0.3219 |
214
+ | No log | 4.8235 | 328 | 0.3241 | 0.7454 | 0.3241 |
215
+ | No log | 4.8529 | 330 | 0.3228 | 0.7422 | 0.3228 |
216
+ | No log | 4.8824 | 332 | 0.3217 | 0.7422 | 0.3217 |
217
+ | No log | 4.9118 | 334 | 0.3200 | 0.7416 | 0.3200 |
218
+ | No log | 4.9412 | 336 | 0.3172 | 0.7349 | 0.3172 |
219
+ | No log | 4.9706 | 338 | 0.3147 | 0.7355 | 0.3147 |
220
+ | No log | 5.0 | 340 | 0.3140 | 0.7355 | 0.3140 |
221
 
222
 
223
  ### Framework versions
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