---
license: cc-by-nc-4.0
base_model: xlm-mlm-100-1280
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: MAL-10epoch-MLMMul
  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. -->

# MAL-10epoch-MLMMul

This model is a fine-tuned version of [xlm-mlm-100-1280](https://huggingface.co./xlm-mlm-100-1280) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2283
- Accuracy: 0.2586

## 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: 2e-05
- train_batch_size: 5
- eval_batch_size: 5
- 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   | 17   | 2.2916          | 0.4483   |
| No log        | 2.0   | 34   | 1.4394          | 0.6897   |
| No log        | 3.0   | 51   | 1.1738          | 0.2759   |
| No log        | 4.0   | 68   | 1.1875          | 0.2414   |
| No log        | 5.0   | 85   | 1.2283          | 0.2586   |


### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 1.13.1
- Datasets 2.14.5
- Tokenizers 0.14.1