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---
base_model: zhihan1996/DNABERT-2-117M
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: DNABERT-2-117M-finetuned-human-150bp-dna-classification
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. -->
# DNABERT-2-117M-finetuned-human-150bp-dna-classification
This model is a fine-tuned version of [zhihan1996/DNABERT-2-117M](https://huggingface.co/zhihan1996/DNABERT-2-117M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6932
- Accuracy: 0.4980
- F1: 0.6649
- Precision: 0.4980
- Recall: 0.9998
## 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: 42
- 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 | F1 | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.7015 | 1.0 | 3125 | 0.6935 | 0.4970 | 0.6640 | 0.4970 | 1.0 |
| 0.7039 | 2.0 | 6250 | 0.6939 | 0.4970 | 0.6640 | 0.4970 | 1.0 |
| 0.6954 | 3.0 | 9375 | 0.6933 | 0.4970 | 0.6640 | 0.4970 | 1.0 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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