scenario-KD-PO-CDF-EN-FROM-EN-D2_data-en-cardiff_eng_only_delta-jason
This model is a fine-tuned version of haryoaw/scenario-TCR_data-en-cardiff_eng_only2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 26.0242
- Accuracy: 0.3907
- F1: 0.3859
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 7777
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
No log | 1.72 | 100 | 21.4135 | 0.3382 | 0.1963 |
No log | 3.45 | 200 | 21.5272 | 0.3845 | 0.3506 |
No log | 5.17 | 300 | 22.3621 | 0.3748 | 0.3274 |
No log | 6.9 | 400 | 21.4286 | 0.3959 | 0.3950 |
21.7005 | 8.62 | 500 | 22.3157 | 0.3937 | 0.3766 |
21.7005 | 10.34 | 600 | 22.4956 | 0.4065 | 0.4025 |
21.7005 | 12.07 | 700 | 22.5078 | 0.4070 | 0.4061 |
21.7005 | 13.79 | 800 | 23.7347 | 0.4017 | 0.3816 |
21.7005 | 15.52 | 900 | 23.6096 | 0.3964 | 0.3828 |
15.6576 | 17.24 | 1000 | 24.2553 | 0.3836 | 0.3594 |
15.6576 | 18.97 | 1100 | 24.5136 | 0.3876 | 0.3805 |
15.6576 | 20.69 | 1200 | 24.4989 | 0.3986 | 0.3963 |
15.6576 | 22.41 | 1300 | 24.8175 | 0.4149 | 0.4117 |
15.6576 | 24.14 | 1400 | 25.9234 | 0.4008 | 0.3884 |
11.4297 | 25.86 | 1500 | 25.3551 | 0.4026 | 0.3979 |
11.4297 | 27.59 | 1600 | 25.9706 | 0.3995 | 0.3952 |
11.4297 | 29.31 | 1700 | 26.0242 | 0.3907 | 0.3859 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.13.3
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