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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: efficient_mlm_m0.40-finetuned-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. -->
# 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
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