metadata
license: cc-by-nc-4.0
base_model: mental/mental-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: mental_roberta_suicide
results: []
mental_roberta_suicide
This model is a fine-tuned version of mental/mental-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5994
- Accuracy: 0.7446
- F1: 0.7487
- Precision: 0.7368
- Recall: 0.7609
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.6934 | 0.97 | 25 | 0.6934 | 0.5 | 0.0 | 0.0 | 0.0 |
| 0.691 | 1.98 | 51 | 0.6905 | 0.5 | 0.0213 | 0.5 | 0.0109 |
| 0.6866 | 2.99 | 77 | 0.6666 | 0.6522 | 0.5493 | 0.78 | 0.4239 |
| 0.6427 | 4.0 | 103 | 0.5652 | 0.7174 | 0.7011 | 0.7439 | 0.6630 |
| 0.5594 | 4.97 | 128 | 0.5586 | 0.7228 | 0.6982 | 0.7662 | 0.6413 |
| 0.521 | 5.98 | 154 | 0.5405 | 0.7283 | 0.7283 | 0.7283 | 0.7283 |
| 0.4097 | 6.8 | 175 | 0.5994 | 0.7446 | 0.7487 | 0.7368 | 0.7609 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2