model-mental-health-classification-5e-5-big
This model is a fine-tuned version of google-bert/bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1953
- Accuracy: 0.5663
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: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
1.2268 | 1.0 | 5254 | 1.2183 | 0.5605 |
1.054 | 2.0 | 10508 | 1.1953 | 0.5663 |
0.7959 | 3.0 | 15762 | 1.3567 | 0.5635 |
0.5561 | 4.0 | 21016 | 2.0386 | 0.5659 |
0.3427 | 5.0 | 26270 | 2.5403 | 0.5659 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Downloads last month
- 4