---
license: mit
base_model: nlpie/bio-mobilebert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: NLPGroupProject-Finetune-bio-mobilebert-AL-Promt
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# NLPGroupProject-Finetune-bio-mobilebert-AL-Promt

This model is a fine-tuned version of [nlpie/bio-mobilebert](https://huggingface.co/nlpie/bio-mobilebert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0324
- Accuracy: 0.742

## 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log        | 0.3121 | 250  | 0.8727          | 0.727    |
| 35.354        | 0.6242 | 500  | 0.7830          | 0.738    |
| 35.354        | 0.9363 | 750  | 0.7660          | 0.745    |
| 0.8233        | 1.2484 | 1000 | 0.9794          | 0.744    |
| 0.8233        | 1.5605 | 1250 | 0.8635          | 0.746    |
| 0.7285        | 1.8727 | 1500 | 0.6671          | 0.747    |
| 0.7285        | 2.1848 | 1750 | 1.0348          | 0.758    |
| 0.5734        | 2.4969 | 2000 | 1.0761          | 0.747    |
| 0.5734        | 2.8090 | 2250 | 1.0324          | 0.742    |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.2+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1