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gpt2-NER-favsbot
This model is a fine-tuned version of gpt2 on the favsbot dataset. It achieves the following results on the evaluation set:
- Loss: 1.5146
- Precision: 0.3782
- Recall: 0.3278
- F1: 0.3512
- Accuracy: 0.5597
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1.5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 4 | 4.0808 | 0.0630 | 0.0444 | 0.0521 | 0.0773 |
| No log | 2.0 | 8 | 3.5205 | 0.0946 | 0.0778 | 0.0854 | 0.1077 |
| No log | 3.0 | 12 | 3.0413 | 0.0909 | 0.0722 | 0.0805 | 0.2084 |
| No log | 4.0 | 16 | 2.6817 | 0.0615 | 0.0444 | 0.0516 | 0.2740 |
| No log | 5.0 | 20 | 2.4227 | 0.1140 | 0.0722 | 0.0884 | 0.3560 |
| No log | 6.0 | 24 | 2.2422 | 0.1382 | 0.0944 | 0.1122 | 0.3770 |
| No log | 7.0 | 28 | 2.0941 | 0.1654 | 0.1222 | 0.1406 | 0.3864 |
| No log | 8.0 | 32 | 1.9726 | 0.2344 | 0.1667 | 0.1948 | 0.4309 |
| No log | 9.0 | 36 | 1.8916 | 0.2925 | 0.1722 | 0.2168 | 0.4543 |
| No log | 10.0 | 40 | 1.8321 | 0.31 | 0.1722 | 0.2214 | 0.4660 |
| No log | 11.0 | 44 | 1.7697 | 0.2957 | 0.1889 | 0.2305 | 0.4707 |
| No log | 12.0 | 48 | 1.7087 | 0.3228 | 0.2278 | 0.2671 | 0.4965 |
| No log | 13.0 | 52 | 1.6551 | 0.3485 | 0.2556 | 0.2949 | 0.5152 |
| No log | 14.0 | 56 | 1.6136 | 0.3219 | 0.2611 | 0.2883 | 0.5176 |
| No log | 15.0 | 60 | 1.5819 | 0.3510 | 0.2944 | 0.3202 | 0.5363 |
| No log | 16.0 | 64 | 1.5575 | 0.3506 | 0.3 | 0.3234 | 0.5410 |
| No log | 17.0 | 68 | 1.5394 | 0.3529 | 0.3 | 0.3243 | 0.5433 |
| No log | 18.0 | 72 | 1.5265 | 0.3791 | 0.3222 | 0.3483 | 0.5574 |
| No log | 19.0 | 76 | 1.5180 | 0.3766 | 0.3222 | 0.3473 | 0.5574 |
| No log | 20.0 | 80 | 1.5146 | 0.3782 | 0.3278 | 0.3512 | 0.5597 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1
