metadata
library_name: transformers
license: apache-2.0
base_model: gokulan006/Suicidal-Risk-Analysis-distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Suicidal-Risk-Analysis-DistilBert-base-uncased
results: []
Suicidal-Risk-Analysis-DistilBert-base-uncased
This model is a fine-tuned version of gokulan006/Suicidal-Risk-Analysis-distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5168
- Accuracy: 0.8384
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4205 | 1.0 | 659 | 0.3784 | 0.8346 |
| 0.2791 | 2.0 | 1318 | 0.3904 | 0.8456 |
| 0.1506 | 3.0 | 1977 | 0.5168 | 0.8384 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0