HarmCare_continuous
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0260
- Rmse: 0.1613
- Mae: 0.1255
- Corr: 0.2402
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss | Rmse | Mae | Corr |
---|---|---|---|---|---|---|
No log | 1.0 | 253 | 0.0277 | 0.1666 | 0.1287 | 0.2185 |
0.038 | 2.0 | 506 | 0.0260 | 0.1613 | 0.1255 | 0.2402 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for ajrayman/HarmCare_continuous
Base model
FacebookAI/roberta-base