transformers 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: 6.4066

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 7.1287        | 2.17  | 100  | 6.4156          |
| 6.2349        | 4.35  | 200  | 6.2942          |
| 6.1294        | 6.52  | 300  | 6.2401          |
| 6.0832        | 8.7   | 400  | 6.2258          |
| 6.3872        | 10.87 | 500  | 6.2017          |
| 6.0572        | 13.04 | 600  | 6.2860          |
| 6.0423        | 15.22 | 700  | 6.1084          |
| 6.0311        | 17.39 | 800  | 6.2598          |
| 6.009         | 19.57 | 900  | 6.3806          |
| 6.0152        | 21.74 | 1000 | 6.2286          |
| 6.0004        | 23.91 | 1100 | 6.2187          |
| 5.9887        | 26.09 | 1200 | 6.4066          |


### Framework versions

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