---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: efficient_mlm_m0.40-finetuned-classification
  results: []
---

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# efficient_mlm_m0.40-finetuned-classification

This model is a fine-tuned version of [andreasmadsen/efficient_mlm_m0.40](https://huggingface.co/andreasmadsen/efficient_mlm_m0.40) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4442
- Accuracy: 0.8512

## 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: 1e-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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 200  | 0.6189          | 0.7275   |
| No log        | 2.0   | 400  | 0.3894          | 0.8363   |
| 0.5095        | 3.0   | 600  | 0.3870          | 0.8488   |
| 0.5095        | 4.0   | 800  | 0.4055          | 0.8538   |
| 0.23          | 5.0   | 1000 | 0.4442          | 0.8512   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2