|
--- |
|
license: apache-2.0 |
|
base_model: bert-large-uncased |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: dbw-bert-large-1 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# dbw-bert-large-1 |
|
|
|
This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0728 |
|
|
|
## 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-07 |
|
- train_batch_size: 64 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.03 |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 3.0555 | 0.36 | 200 | 3.2109 | |
|
| 1.2673 | 0.71 | 400 | 1.0203 | |
|
| 0.3153 | 1.07 | 600 | 0.2516 | |
|
| 0.1461 | 1.42 | 800 | 0.1146 | |
|
| 0.1046 | 1.78 | 1000 | 0.0854 | |
|
| 0.0929 | 2.13 | 1200 | 0.0762 | |
|
| 0.085 | 2.49 | 1400 | 0.0734 | |
|
| 0.0881 | 2.84 | 1600 | 0.0728 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.36.2 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.0 |
|
|
