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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- super_glue |
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metrics: |
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- accuracy |
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model-index: |
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- name: '20230822105337' |
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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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# 20230822105337 |
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This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on the super_glue dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3531 |
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- Accuracy: 0.5271 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 11 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 60.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| No log | 1.0 | 312 | 0.3571 | 0.4729 | |
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| 6.8951 | 2.0 | 624 | 1.4465 | 0.5271 | |
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| 6.8951 | 3.0 | 936 | 1.4737 | 0.4729 | |
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| 4.4457 | 4.0 | 1248 | 0.4591 | 0.5271 | |
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| 3.2957 | 5.0 | 1560 | 0.4022 | 0.4729 | |
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| 3.2957 | 6.0 | 1872 | 1.2355 | 0.4729 | |
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| 3.7646 | 7.0 | 2184 | 9.3766 | 0.4729 | |
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| 3.7646 | 8.0 | 2496 | 0.3764 | 0.5271 | |
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| 3.3825 | 9.0 | 2808 | 4.6165 | 0.5271 | |
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| 2.7848 | 10.0 | 3120 | 3.2620 | 0.5271 | |
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| 2.7848 | 11.0 | 3432 | 2.3010 | 0.5271 | |
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| 2.3837 | 12.0 | 3744 | 0.3484 | 0.5271 | |
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| 2.1666 | 13.0 | 4056 | 0.4398 | 0.5271 | |
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| 2.1666 | 14.0 | 4368 | 1.4703 | 0.4729 | |
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| 2.107 | 15.0 | 4680 | 1.0550 | 0.5271 | |
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| 2.107 | 16.0 | 4992 | 1.0008 | 0.4729 | |
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| 2.161 | 17.0 | 5304 | 0.7810 | 0.4729 | |
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| 1.927 | 18.0 | 5616 | 0.8418 | 0.4729 | |
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| 1.927 | 19.0 | 5928 | 0.5166 | 0.4729 | |
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| 1.8072 | 20.0 | 6240 | 0.3493 | 0.5271 | |
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| 1.7187 | 21.0 | 6552 | 1.4221 | 0.5271 | |
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| 1.7187 | 22.0 | 6864 | 2.9356 | 0.5271 | |
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| 2.1333 | 23.0 | 7176 | 0.8474 | 0.4729 | |
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| 2.1333 | 24.0 | 7488 | 5.1220 | 0.4729 | |
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| 2.0017 | 25.0 | 7800 | 0.3589 | 0.4729 | |
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| 1.6518 | 26.0 | 8112 | 0.3996 | 0.4729 | |
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| 1.6518 | 27.0 | 8424 | 0.5351 | 0.5271 | |
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| 1.5012 | 28.0 | 8736 | 0.3479 | 0.5271 | |
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| 1.4194 | 29.0 | 9048 | 0.3492 | 0.5271 | |
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| 1.4194 | 30.0 | 9360 | 0.6942 | 0.5271 | |
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| 1.3048 | 31.0 | 9672 | 0.5089 | 0.5271 | |
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| 1.3048 | 32.0 | 9984 | 1.1509 | 0.5271 | |
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| 1.2972 | 33.0 | 10296 | 1.1207 | 0.4729 | |
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| 1.1774 | 34.0 | 10608 | 1.4443 | 0.4729 | |
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| 1.1774 | 35.0 | 10920 | 2.3753 | 0.4729 | |
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| 1.492 | 36.0 | 11232 | 0.3622 | 0.4729 | |
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| 1.3617 | 37.0 | 11544 | 1.3564 | 0.5271 | |
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| 1.3617 | 38.0 | 11856 | 0.6944 | 0.5271 | |
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| 1.4582 | 39.0 | 12168 | 0.5510 | 0.4729 | |
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| 1.4582 | 40.0 | 12480 | 0.3660 | 0.5271 | |
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| 1.0904 | 41.0 | 12792 | 0.3480 | 0.5271 | |
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| 0.9409 | 42.0 | 13104 | 0.4835 | 0.5271 | |
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| 0.9409 | 43.0 | 13416 | 0.6226 | 0.4729 | |
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| 0.9404 | 44.0 | 13728 | 0.4021 | 0.4729 | |
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| 0.8008 | 45.0 | 14040 | 0.5381 | 0.5271 | |
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| 0.8008 | 46.0 | 14352 | 0.3887 | 0.4729 | |
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| 0.841 | 47.0 | 14664 | 0.3763 | 0.5271 | |
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| 0.841 | 48.0 | 14976 | 0.3667 | 0.5271 | |
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| 0.6912 | 49.0 | 15288 | 0.4490 | 0.4729 | |
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| 0.6381 | 50.0 | 15600 | 0.7097 | 0.5271 | |
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| 0.6381 | 51.0 | 15912 | 0.3639 | 0.4729 | |
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| 0.5792 | 52.0 | 16224 | 0.3798 | 0.5271 | |
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| 0.53 | 53.0 | 16536 | 0.3854 | 0.4729 | |
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| 0.53 | 54.0 | 16848 | 0.3884 | 0.4729 | |
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| 0.4977 | 55.0 | 17160 | 0.3898 | 0.4729 | |
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| 0.4977 | 56.0 | 17472 | 0.3480 | 0.5271 | |
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| 0.4596 | 57.0 | 17784 | 0.3542 | 0.4729 | |
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| 0.4228 | 58.0 | 18096 | 0.3539 | 0.5271 | |
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| 0.4228 | 59.0 | 18408 | 0.3499 | 0.5271 | |
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| 0.3933 | 60.0 | 18720 | 0.3531 | 0.5271 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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