metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: deberta-v3-large-harmfulness
results: []
deberta-v3-large-harmfulness
This model is a fine-tuned version of microsoft/deberta-v3-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1439
- Mse: 1.1439
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: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse |
|---|---|---|---|---|
| 2.1055 | 0.06 | 50 | 1.7626 | 1.7626 |
| 1.6818 | 0.12 | 100 | 1.4659 | 1.4659 |
| 1.4062 | 0.18 | 150 | 1.6323 | 1.6323 |
| 1.4777 | 0.24 | 200 | 1.3776 | 1.3776 |
| 1.4106 | 0.3 | 250 | 1.3044 | 1.3044 |
| 1.2702 | 0.37 | 300 | 1.3792 | 1.3792 |
| 1.4448 | 0.43 | 350 | 1.3048 | 1.3048 |
| 1.3582 | 0.49 | 400 | 1.2485 | 1.2485 |
| 1.2357 | 0.55 | 450 | 1.3709 | 1.3709 |
| 1.1075 | 0.61 | 500 | 1.2538 | 1.2538 |
| 1.2406 | 0.67 | 550 | 1.1996 | 1.1996 |
| 1.2309 | 0.73 | 600 | 1.2671 | 1.2671 |
| 1.194 | 0.79 | 650 | 1.4326 | 1.4326 |
| 1.2135 | 0.85 | 700 | 1.1763 | 1.1763 |
| 1.2196 | 0.91 | 750 | 1.1439 | 1.1439 |
| 1.1983 | 0.97 | 800 | 1.1711 | 1.1711 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3