Commit
•
5582a81
1
Parent(s):
eb5a86b
Added LP FT model
Browse files- README.md +27 -28
- all_results.json +44 -44
- config.json +1 -1
- pytorch_model.bin +1 -1
- test_results.json +15 -15
- tokenizer_config.json +1 -1
- train_results.json +15 -15
- trainer_state.json +806 -950
- training_args.bin +1 -1
- validation_results.json +15 -15
README.md
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datasets:
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- wnut_17
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model-index:
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results: []
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---
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This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on the [wnut_17](https://huggingface.co/datasets/wnut_17) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Overall Precision: 0.
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- Overall Recall: 0.
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- Overall F1: 0.
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- Overall Accuracy: 0.
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- Corporation F1: 0.
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- Creative-work F1: 0.
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- Group F1: 0.
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- Location F1: 0.
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- Person F1: 0.
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- Product F1: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | Corporation F1 | Creative-work F1 | Group F1 | Location F1 | Person F1 | Product F1 |
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|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|:--------------:|:----------------:|:--------:|:-----------:|:---------:|:----------:|
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| 0.0075 | 15.0 | 3195 | 0.3239 | 0.6913 | 0.5914 | 0.6374 | 0.9499 | 0.2703 | 0.3636 | 0.4030 | 0.7500 | 0.7733 | 0.4152 |
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### Framework versions
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datasets:
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- wnut_17
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model-index:
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- name: fine_tune_bert_output_LP_FP
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results: []
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---
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This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on the [wnut_17](https://huggingface.co/datasets/wnut_17) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3376
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- Overall Precision: 0.6803
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- Overall Recall: 0.6096
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- Overall F1: 0.6430
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- Overall Accuracy: 0.9509
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- Corporation F1: 0.2975
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- Creative-work F1: 0.4436
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- Group F1: 0.3624
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- Location F1: 0.6834
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- Person F1: 0.7902
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- Product F1: 0.3887
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | Corporation F1 | Creative-work F1 | Group F1 | Location F1 | Person F1 | Product F1 |
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|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|:--------------:|:----------------:|:--------:|:-----------:|:---------:|:----------:|
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| 0.0215 | 1.0 | 213 | 0.2913 | 0.7026 | 0.5905 | 0.6417 | 0.9507 | 0.2832 | 0.4444 | 0.2975 | 0.6854 | 0.7788 | 0.4015 |
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| 0.0213 | 2.0 | 426 | 0.3052 | 0.6774 | 0.5772 | 0.6233 | 0.9495 | 0.2830 | 0.3483 | 0.3231 | 0.6857 | 0.7728 | 0.3794 |
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| 0.0288 | 3.0 | 639 | 0.3378 | 0.7061 | 0.5507 | 0.6188 | 0.9467 | 0.3077 | 0.4184 | 0.3529 | 0.6222 | 0.7532 | 0.3910 |
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| 0.0124 | 4.0 | 852 | 0.2712 | 0.6574 | 0.6121 | 0.6340 | 0.9502 | 0.3077 | 0.4842 | 0.3167 | 0.6809 | 0.7735 | 0.3986 |
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| 0.0208 | 5.0 | 1065 | 0.2905 | 0.7108 | 0.6063 | 0.6544 | 0.9518 | 0.3063 | 0.4286 | 0.3419 | 0.7052 | 0.7913 | 0.4223 |
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| 0.0071 | 6.0 | 1278 | 0.3189 | 0.6756 | 0.5847 | 0.6269 | 0.9494 | 0.2759 | 0.4380 | 0.3256 | 0.6744 | 0.7781 | 0.3779 |
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| 0.0073 | 7.0 | 1491 | 0.3593 | 0.7330 | 0.5540 | 0.6310 | 0.9476 | 0.3061 | 0.4388 | 0.3784 | 0.6946 | 0.7631 | 0.3374 |
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| 0.0135 | 8.0 | 1704 | 0.3564 | 0.6875 | 0.5482 | 0.6100 | 0.9471 | 0.34 | 0.4179 | 0.3088 | 0.6632 | 0.7486 | 0.3695 |
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| 0.0097 | 9.0 | 1917 | 0.3085 | 0.6598 | 0.6395 | 0.6495 | 0.9516 | 0.3111 | 0.4609 | 0.3836 | 0.7090 | 0.7906 | 0.4083 |
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| 0.0108 | 10.0 | 2130 | 0.3045 | 0.6605 | 0.6478 | 0.6541 | 0.9509 | 0.3529 | 0.4580 | 0.3649 | 0.6897 | 0.7843 | 0.4387 |
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| 0.013 | 11.0 | 2343 | 0.3383 | 0.6788 | 0.6179 | 0.6470 | 0.9507 | 0.2783 | 0.4248 | 0.3358 | 0.7368 | 0.7958 | 0.3655 |
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| 0.0076 | 12.0 | 2556 | 0.3617 | 0.6920 | 0.5523 | 0.6143 | 0.9474 | 0.2708 | 0.3985 | 0.3333 | 0.6740 | 0.7566 | 0.3525 |
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| 0.0042 | 13.0 | 2769 | 0.3747 | 0.6896 | 0.5664 | 0.6220 | 0.9473 | 0.2478 | 0.3915 | 0.3521 | 0.6561 | 0.7742 | 0.3539 |
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| 0.0049 | 14.0 | 2982 | 0.3376 | 0.6803 | 0.6096 | 0.6430 | 0.9509 | 0.2975 | 0.4436 | 0.3624 | 0.6834 | 0.7902 | 0.3887 |
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### Framework versions
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all_results.json
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config.json
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tokenizer_config.json
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