|
--- |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
- precision |
|
- recall |
|
- f1 |
|
model-index: |
|
- name: output |
|
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. --> |
|
|
|
# output |
|
|
|
This model is a fine-tuned version of [zhihan1996/DNA_bert_6](https://huggingface.co/zhihan1996/DNA_bert_6) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3879 |
|
- Accuracy: 0.8612 |
|
- Precision: 0.9154 |
|
- Recall: 0.8240 |
|
- F1: 0.8673 |
|
|
|
## 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: 5e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 0 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
|
| 0.4958 | 0.46 | 500 | 0.4749 | 0.7831 | 0.7303 | 0.9606 | 0.8298 | |
|
| 0.3928 | 0.93 | 1000 | 0.4086 | 0.8207 | 0.7717 | 0.9574 | 0.8546 | |
|
| 0.3319 | 1.39 | 1500 | 0.3467 | 0.8635 | 0.8664 | 0.8891 | 0.8776 | |
|
| 0.3036 | 1.85 | 2000 | 0.3176 | 0.8702 | 0.8717 | 0.8960 | 0.8836 | |
|
| 0.2383 | 2.31 | 2500 | 0.3403 | 0.8707 | 0.8901 | 0.8728 | 0.8814 | |
|
| 0.2189 | 2.78 | 3000 | 0.3879 | 0.8612 | 0.9154 | 0.8240 | 0.8673 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.27.4 |
|
- Pytorch 2.0.0+cu118 |
|
- Tokenizers 0.13.3 |
|
|
