pytorch tensorboard deberta-v2 fill-mask transformers generated_from_trainer license:mit model-index autotrain_compatible
---
license: mit
tags:
- fill-mask
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deberta-mlm-test
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# deberta-mlm-test

This model is a fine-tuned version of [microsoft/deberta-v3-xsmall](https://huggingface.co/microsoft/deberta-v3-xsmall) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2792
- Accuracy: 0.4766

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 4.4466        | 1.0   | 2067  | 4.1217          | 0.3847   |
| 3.9191        | 2.0   | 4134  | 3.6562          | 0.4298   |
| 3.6397        | 3.0   | 6201  | 3.4417          | 0.4550   |
| 3.522         | 4.0   | 8268  | 3.3239          | 0.4692   |
| 3.4504        | 5.0   | 10335 | 3.2792          | 0.4766   |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0a0+17540c5
- Datasets 2.3.2
- Tokenizers 0.12.1
