metadata
tags:
- generated_from_trainer
model-index:
- name: Bert-MLM
results: []
Bert-MLM
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 7.9694
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: 0.1
- 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
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 14.7772 | 0.06 | 100 | 8.6683 |
| 9.1925 | 0.12 | 200 | 9.1429 |
| 8.6946 | 0.19 | 300 | 10.0975 |
| 8.3986 | 0.25 | 400 | 8.3313 |
| 8.0251 | 0.31 | 500 | 7.9694 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.0
- Tokenizers 0.15.0