metadata
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: mask-langauge-modeling
results: []
mask-langauge-modeling
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4731
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8107 | 1.0 | 598 | 0.8552 |
| 0.8572 | 2.0 | 1196 | 0.8273 |
| 0.8655 | 3.0 | 1794 | 0.7705 |
| 0.8348 | 4.0 | 2392 | 0.7156 |
| 0.792 | 5.0 | 2990 | 0.6761 |
| 0.701 | 6.0 | 3588 | 0.6323 |
| 0.665 | 7.0 | 4186 | 0.6005 |
| 0.6257 | 8.0 | 4784 | 0.5602 |
| 0.5966 | 9.0 | 5382 | 0.5298 |
| 0.5674 | 10.0 | 5980 | 0.5153 |
| 0.5102 | 11.0 | 6578 | 0.4995 |
| 0.4888 | 12.0 | 7176 | 0.4816 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2