Training in progress, step 52000
Browse files- README.md +69 -69
- all_results.json +8 -8
- config.json +4 -4
- final/config.json +7 -1
- final/model.safetensors +2 -2
- final/tokenizer.json +0 -0
- final/tokenizer_config.json +5 -3
- final/training_args.bin +1 -1
- final/vocab.txt +0 -0
- model.safetensors +1 -1
- test_results.json +8 -8
- tokenizer_config.json +1 -0
- training_args.bin +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model:
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tags:
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- generated_from_trainer
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metrics:
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- recall
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- accuracy
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model-index:
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- name:
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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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#
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Precision: 0.
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- Recall: 0.
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- F1 Macro: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 Macro | Accuracy |
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|:-------------:|:-------:|:-----:|:---------------:|:---------:|:------:|:--------:|:--------:|
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| No log | 0 | 0 | 3.
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### Framework versions
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---
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library_name: transformers
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license: apache-2.0
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base_model: NbAiLab/nb-sbert-base
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tags:
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- generated_from_trainer
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metrics:
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- recall
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- accuracy
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model-index:
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- name: nb-sbert-base-edu-scorer-lr3e4-bs32
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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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# nb-sbert-base-edu-scorer-lr3e4-bs32
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This model is a fine-tuned version of [NbAiLab/nb-sbert-base](https://huggingface.co/NbAiLab/nb-sbert-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1904
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- Precision: 0.5148
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- Recall: 0.3533
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- F1 Macro: 0.3432
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- Accuracy: 0.3836
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 Macro | Accuracy |
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|:-------------:|:-------:|:-----:|:---------------:|:---------:|:------:|:--------:|:--------:|
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| No log | 0 | 0 | 3.3343 | 0.0587 | 0.1667 | 0.0869 | 0.3524 |
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| 0.8018 | 0.3368 | 1000 | 0.7952 | 0.3984 | 0.3147 | 0.3076 | 0.4594 |
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| 0.7695 | 0.6736 | 2000 | 0.7506 | 0.4340 | 0.3543 | 0.3560 | 0.476 |
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| 0.7415 | 1.0104 | 3000 | 0.7203 | 0.4055 | 0.3453 | 0.3416 | 0.498 |
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| 0.6979 | 1.3473 | 4000 | 0.7645 | 0.4222 | 0.3467 | 0.3465 | 0.4438 |
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| 0.6998 | 1.6841 | 5000 | 0.7053 | 0.4535 | 0.3496 | 0.3519 | 0.5026 |
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| 0.689 | 2.0209 | 6000 | 0.6925 | 0.4113 | 0.3400 | 0.3327 | 0.5058 |
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| 0.7226 | 2.3577 | 7000 | 0.6814 | 0.4192 | 0.3460 | 0.3436 | 0.4958 |
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| 0.6831 | 2.6945 | 8000 | 0.6765 | 0.4067 | 0.3557 | 0.3581 | 0.5118 |
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| 0.6639 | 3.0313 | 9000 | 0.6643 | 0.4095 | 0.3598 | 0.3623 | 0.5194 |
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| 0.6487 | 3.3681 | 10000 | 0.6764 | 0.4103 | 0.3571 | 0.3551 | 0.533 |
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| 0.664 | 3.7050 | 11000 | 0.6706 | 0.4008 | 0.3480 | 0.3457 | 0.5192 |
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| 0.6485 | 4.0418 | 12000 | 0.6504 | 0.4230 | 0.3717 | 0.3749 | 0.5322 |
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| 0.637 | 4.3786 | 13000 | 0.6925 | 0.4096 | 0.3597 | 0.3574 | 0.4668 |
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| 0.6529 | 4.7154 | 14000 | 0.6493 | 0.4046 | 0.3631 | 0.3648 | 0.5252 |
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| 0.5932 | 5.0522 | 15000 | 0.6512 | 0.4197 | 0.3631 | 0.3656 | 0.5248 |
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| 0.618 | 5.3890 | 16000 | 0.6633 | 0.4129 | 0.3590 | 0.3623 | 0.5276 |
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| 0.5966 | 5.7258 | 17000 | 0.7115 | 0.4439 | 0.3446 | 0.3415 | 0.5284 |
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| 0.6094 | 6.0626 | 18000 | 0.6558 | 0.4207 | 0.3596 | 0.3623 | 0.5252 |
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| 0.62 | 6.3995 | 19000 | 0.6527 | 0.4106 | 0.3707 | 0.3743 | 0.5238 |
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| 0.5935 | 6.7363 | 20000 | 0.6473 | 0.4168 | 0.3721 | 0.3755 | 0.52 |
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| 0.5832 | 7.0731 | 21000 | 0.6533 | 0.4339 | 0.3619 | 0.3637 | 0.5266 |
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| 0.5864 | 7.4099 | 22000 | 0.6543 | 0.4106 | 0.3777 | 0.3814 | 0.5246 |
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| 0.5738 | 7.7467 | 23000 | 0.6503 | 0.4128 | 0.3726 | 0.3756 | 0.5236 |
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| 0.5349 | 8.0835 | 24000 | 0.6563 | 0.4230 | 0.3675 | 0.3711 | 0.5298 |
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| 0.5521 | 8.4203 | 25000 | 0.6439 | 0.4092 | 0.3725 | 0.3763 | 0.5288 |
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| 0.588 | 8.7572 | 26000 | 0.6580 | 0.4079 | 0.3666 | 0.3704 | 0.5106 |
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| 0.572 | 9.0940 | 27000 | 0.6561 | 0.4106 | 0.3684 | 0.3711 | 0.5172 |
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| 0.5436 | 9.4308 | 28000 | 0.6514 | 0.4107 | 0.3688 | 0.3724 | 0.521 |
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| 0.5268 | 9.7676 | 29000 | 0.6622 | 0.4167 | 0.3593 | 0.3619 | 0.5278 |
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| 0.5289 | 10.1044 | 30000 | 0.6567 | 0.4068 | 0.3698 | 0.3724 | 0.5254 |
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| 0.5285 | 10.4412 | 31000 | 0.6635 | 0.4086 | 0.3574 | 0.3605 | 0.527 |
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| 0.5051 | 10.7780 | 32000 | 0.6602 | 0.4114 | 0.3678 | 0.3710 | 0.533 |
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| 0.5249 | 11.1149 | 33000 | 0.6599 | 0.4062 | 0.3784 | 0.3809 | 0.5192 |
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| 0.5173 | 11.4517 | 34000 | 0.6622 | 0.4037 | 0.3569 | 0.3576 | 0.526 |
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| 0.5262 | 11.7885 | 35000 | 0.6599 | 0.3977 | 0.3708 | 0.3731 | 0.5124 |
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| 0.4839 | 12.1253 | 36000 | 0.6586 | 0.4352 | 0.3841 | 0.3911 | 0.5206 |
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| 0.4992 | 12.4621 | 37000 | 0.6631 | 0.3995 | 0.3587 | 0.3627 | 0.5152 |
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| 0.5014 | 12.7989 | 38000 | 0.6615 | 0.4014 | 0.3663 | 0.3695 | 0.519 |
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| 0.4727 | 13.1357 | 39000 | 0.6637 | 0.4010 | 0.3611 | 0.3642 | 0.5242 |
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| 0.5016 | 13.4725 | 40000 | 0.6639 | 0.3909 | 0.3670 | 0.3682 | 0.5056 |
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| 0.4763 | 13.8094 | 41000 | 0.6665 | 0.4065 | 0.3646 | 0.3683 | 0.524 |
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| 0.4578 | 14.1462 | 42000 | 0.6630 | 0.4018 | 0.3657 | 0.3689 | 0.5218 |
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| 0.4516 | 14.4830 | 43000 | 0.6702 | 0.3908 | 0.3697 | 0.3701 | 0.5048 |
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| 0.461 | 14.8198 | 44000 | 0.6565 | 0.4008 | 0.3634 | 0.3663 | 0.5122 |
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| 0.4628 | 15.1566 | 45000 | 0.6657 | 0.3916 | 0.3665 | 0.3685 | 0.5132 |
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| 0.4557 | 15.4934 | 46000 | 0.6687 | 0.3972 | 0.3638 | 0.3664 | 0.5246 |
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| 0.449 | 15.8302 | 47000 | 0.6635 | 0.4347 | 0.3727 | 0.3812 | 0.5194 |
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| 0.4555 | 16.1671 | 48000 | 0.6626 | 0.4153 | 0.3749 | 0.3815 | 0.5152 |
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| 0.4554 | 16.5039 | 49000 | 0.6681 | 0.3978 | 0.3705 | 0.3733 | 0.5208 |
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| 0.4093 | 16.8407 | 50000 | 0.6661 | 0.4220 | 0.3759 | 0.3823 | 0.52 |
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| 0.435 | 17.1775 | 51000 | 0.6653 | 0.4268 | 0.3801 | 0.3868 | 0.516 |
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| 0.4368 | 17.5143 | 52000 | 0.6686 | 0.3961 | 0.3613 | 0.3632 | 0.5238 |
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| 0.4308 | 17.8511 | 53000 | 0.6654 | 0.4191 | 0.3757 | 0.3827 | 0.5152 |
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| 0.411 | 18.1879 | 54000 | 0.6671 | 0.3953 | 0.3643 | 0.3674 | 0.517 |
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| 0.4365 | 18.5248 | 55000 | 0.6675 | 0.4193 | 0.3758 | 0.3828 | 0.5122 |
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| 0.4168 | 18.8616 | 56000 | 0.6649 | 0.3969 | 0.3668 | 0.3686 | 0.5228 |
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| 0.4313 | 19.1984 | 57000 | 0.6647 | 0.3942 | 0.3649 | 0.3675 | 0.517 |
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| 0.4175 | 19.5352 | 58000 | 0.6650 | 0.3936 | 0.3646 | 0.3667 | 0.5188 |
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| 0.4214 | 19.8720 | 59000 | 0.6649 | 0.3971 | 0.3681 | 0.3707 | 0.5176 |
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### Framework versions
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all_results.json
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{
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"epoch": 20.0,
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"eval_accuracy": 0.
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"eval_f1_macro": 0.
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"eval_loss": 1.
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"eval_precision": 0.
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"eval_recall": 0.
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"eval_runtime":
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"eval_steps_per_second":
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}
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{
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"epoch": 20.0,
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"eval_accuracy": 0.3836363636363636,
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"eval_f1_macro": 0.3431871935359531,
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"eval_loss": 1.190366506576538,
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"eval_precision": 0.5148182228032372,
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"eval_recall": 0.35333333333333333,
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"eval_runtime": 6.0691,
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"eval_samples_per_second": 90.623,
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"eval_steps_per_second": 2.966
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}
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config.json
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size":
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size":
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"label2id": {
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"LABEL_0": 0
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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"num_hidden_layers":
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 1024,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"LABEL_0": 0
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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final/config.json
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": 0.0,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"position_embedding_type": "absolute",
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"problem_type": "regression",
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"torch_dtype": "float32",
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"transformers_version": "4.53.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size":
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}
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": 0.0,
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"directionality": "bidi",
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"problem_type": "regression",
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"torch_dtype": "float32",
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"transformers_version": "4.53.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 119547
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}
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final/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 711440380
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final/tokenizer.json
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final/tokenizer_config.json
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"special": true
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}
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},
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"cls_token": "[CLS]",
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"
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"extra_special_tokens": {},
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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| 46 |
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|
| 47 |
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|
| 48 |
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| 49 |
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| 50 |
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| 54 |
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| 55 |
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final/training_args.bin
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final/vocab.txt
CHANGED
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The diff for this file is too large to render.
See raw diff
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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test_results.json
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| 2 |
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tokenizer_config.json
CHANGED
|
@@ -41,6 +41,7 @@
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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| 45 |
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| 46 |
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| 41 |
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| 42 |
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| 43 |
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| 47 |
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training_args.bin
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