transformers tensorboard safetensors roberta fill-mask generated_from_trainer autotrain_compatible endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: mlm
  results: []
---

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# mlm

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.5407

## 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: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 5.9586        | 10.87  | 500  | 5.6039          |
| 4.9096        | 21.74  | 1000 | 5.0384          |
| 4.2463        | 32.61  | 1500 | 4.7924          |
| 3.6977        | 43.48  | 2000 | 4.6626          |
| 3.258         | 54.35  | 2500 | 4.4548          |
| 2.8435        | 65.22  | 3000 | 4.4381          |
| 2.5083        | 76.09  | 3500 | 4.2610          |
| 2.1856        | 86.96  | 4000 | 4.1977          |
| 1.9237        | 97.83  | 4500 | 4.4848          |
| 1.6827        | 108.7  | 5000 | 4.5539          |
| 1.4808        | 119.57 | 5500 | 4.5407          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
