roberta-base-finetuned-depression
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7662
- Precision: 0.8912
- Recall: 0.9136
- F1: 0.9018
- Accuracy: 0.9104
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 | 469 | 0.5219 | 0.8220 | 0.7921 | 0.8000 | 0.8603 |
0.602 | 2.0 | 938 | 0.6344 | 0.9039 | 0.8257 | 0.8538 | 0.8753 |
0.3573 | 3.0 | 1407 | 0.4821 | 0.8818 | 0.8902 | 0.8859 | 0.8870 |
0.2511 | 4.0 | 1876 | 0.6265 | 0.8511 | 0.8965 | 0.8676 | 0.8934 |
0.1614 | 5.0 | 2345 | 0.5439 | 0.8908 | 0.8992 | 0.8919 | 0.9041 |
0.1107 | 6.0 | 2814 | 0.6237 | 0.8838 | 0.8990 | 0.8886 | 0.9009 |
0.0756 | 7.0 | 3283 | 0.6915 | 0.8930 | 0.9062 | 0.8988 | 0.9083 |
0.057 | 8.0 | 3752 | 0.6572 | 0.8736 | 0.9107 | 0.8905 | 0.9062 |
0.0664 | 9.0 | 4221 | 0.8022 | 0.8692 | 0.8987 | 0.8804 | 0.8977 |
0.0392 | 10.0 | 4690 | 0.7953 | 0.8931 | 0.8847 | 0.8844 | 0.8977 |
0.0472 | 11.0 | 5159 | 0.7757 | 0.8951 | 0.8886 | 0.8885 | 0.8998 |
0.0375 | 12.0 | 5628 | 0.7821 | 0.8881 | 0.9029 | 0.8939 | 0.9072 |
0.0292 | 13.0 | 6097 | 0.8124 | 0.8793 | 0.8982 | 0.8870 | 0.9009 |
0.0373 | 14.0 | 6566 | 0.9106 | 0.8774 | 0.8818 | 0.8735 | 0.8934 |
0.0227 | 15.0 | 7035 | 0.8325 | 0.8876 | 0.8855 | 0.8825 | 0.8966 |
0.0249 | 16.0 | 7504 | 0.7662 | 0.8912 | 0.9136 | 0.9018 | 0.9104 |
0.0249 | 17.0 | 7973 | 0.8383 | 0.8804 | 0.8905 | 0.8833 | 0.8955 |
0.0245 | 18.0 | 8442 | 0.8073 | 0.8844 | 0.9000 | 0.8907 | 0.9030 |
0.0188 | 19.0 | 8911 | 0.8137 | 0.8850 | 0.9012 | 0.8917 | 0.9041 |
0.0203 | 20.0 | 9380 | 0.8234 | 0.8850 | 0.8993 | 0.8905 | 0.9030 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for welsachy/roberta-base-finetuned-depression
Base model
FacebookAI/roberta-base