metadata
license: cc-by-4.0
tags:
- generated_from_trainer
base_model: NbAiLab/nb-bert-base
model-index:
- name: nb-bert-base-ctr-regression
results: []
nb-bert-base-ctr-regression
This model is a fine-tuned version of NbAiLab/nb-bert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0073
- Mse: 0.0073
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse |
|---|---|---|---|---|
| 0.0106 | 1.0 | 1103 | 0.0069 | 0.0069 |
| 0.0073 | 2.0 | 2206 | 0.0072 | 0.0072 |
| 0.0058 | 3.0 | 3309 | 0.0063 | 0.0063 |
| 0.0038 | 4.0 | 4412 | 0.0073 | 0.0073 |
| 0.0025 | 5.0 | 5515 | 0.0064 | 0.0064 |
| 0.0019 | 6.0 | 6618 | 0.0065 | 0.0065 |
| 0.0014 | 7.0 | 7721 | 0.0066 | 0.0066 |
| 0.0011 | 8.0 | 8824 | 0.0067 | 0.0067 |
| 0.0008 | 9.0 | 9927 | 0.0066 | 0.0066 |
| 0.0007 | 10.0 | 11030 | 0.0066 | 0.0066 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.2+cu113
- Datasets 1.18.4
- Tokenizers 0.12.1