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-base-CD_baseline
results: []
mental-roberta-base-CD_baseline
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: 1.2770
- Accuracy: 0.5957
- F1: 0.5795
- Precision: 0.5801
- Recall: 0.5957
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: 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 1.7629 | 1.0 | 250 | 1.5328 | 0.4739 | 0.3843 | 0.3535 | 0.4739 |
| 1.4033 | 2.0 | 500 | 1.3282 | 0.5261 | 0.5010 | 0.5395 | 0.5261 |
| 0.7635 | 3.0 | 750 | 1.3102 | 0.5609 | 0.5337 | 0.5372 | 0.5609 |
| 0.8688 | 4.0 | 1000 | 1.2770 | 0.5957 | 0.5795 | 0.5801 | 0.5957 |
| 0.4432 | 5.0 | 1250 | 1.4374 | 0.6087 | 0.5941 | 0.6038 | 0.6087 |
| 0.3489 | 6.0 | 1500 | 1.4813 | 0.5870 | 0.5901 | 0.6124 | 0.5870 |
| 0.3154 | 7.0 | 1750 | 1.5613 | 0.5913 | 0.5923 | 0.6051 | 0.5913 |
| 0.1553 | 8.0 | 2000 | 1.6126 | 0.5957 | 0.5931 | 0.5986 | 0.5957 |
Framework versions
- Transformers 4.38.0
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.15.2