|
|
--- |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: BERT_winter-6_tokenized |
|
|
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. --> |
|
|
|
|
|
# BERT_winter-6_tokenized |
|
|
|
|
|
This model is a fine-tuned version of [armheb/DNA_bert_6](https://huggingface.co/armheb/DNA_bert_6) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.0361 |
|
|
|
|
|
## 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: 64 |
|
|
- eval_batch_size: 64 |
|
|
- seed: 42 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 10 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-----:|:----:|:---------------:| |
|
|
| 0.0706 | 1.0 | 262 | 0.0369 | |
|
|
| 0.0388 | 2.0 | 524 | 0.0374 | |
|
|
| 0.037 | 3.0 | 786 | 0.0363 | |
|
|
| 0.0372 | 4.0 | 1048 | 0.0374 | |
|
|
| 0.0376 | 5.0 | 1310 | 0.0351 | |
|
|
| 0.0366 | 6.0 | 1572 | 0.0351 | |
|
|
| 0.0377 | 7.0 | 1834 | 0.0373 | |
|
|
| 0.0373 | 8.0 | 2096 | 0.0370 | |
|
|
| 0.0358 | 9.0 | 2358 | 0.0359 | |
|
|
| 0.0364 | 10.0 | 2620 | 0.0382 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.23.1 |
|
|
- Pytorch 1.12.1+cu113 |
|
|
- Datasets 2.6.1 |
|
|
- Tokenizers 0.13.1 |
|
|
|
