transformers tensorboard safetensors roberta fill-mask generated_from_trainer autotrain_compatible endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: mlm
  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. -->

# 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: 4.7316

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 46   | 6.3460          |
| No log        | 2.0   | 92   | 6.0795          |
| No log        | 3.0   | 138  | 5.9936          |
| No log        | 4.0   | 184  | 5.9349          |
| No log        | 5.0   | 230  | 5.8038          |
| No log        | 6.0   | 276  | 5.8418          |
| No log        | 7.0   | 322  | 5.6895          |
| No log        | 8.0   | 368  | 5.6775          |
| No log        | 9.0   | 414  | 5.5350          |
| No log        | 10.0  | 460  | 5.6979          |
| 5.77          | 11.0  | 506  | 5.4408          |
| 5.77          | 12.0  | 552  | 5.4329          |
| 5.77          | 13.0  | 598  | 5.3481          |
| 5.77          | 14.0  | 644  | 5.4081          |
| 5.77          | 15.0  | 690  | 5.3823          |
| 5.77          | 16.0  | 736  | 5.2333          |
| 5.77          | 17.0  | 782  | 5.1979          |
| 5.77          | 18.0  | 828  | 5.1963          |
| 5.77          | 19.0  | 874  | 5.1478          |
| 5.77          | 20.0  | 920  | 5.1180          |
| 5.77          | 21.0  | 966  | 5.1331          |
| 4.8737        | 22.0  | 1012 | 5.0965          |
| 4.8737        | 23.0  | 1058 | 4.9988          |
| 4.8737        | 24.0  | 1104 | 4.8939          |
| 4.8737        | 25.0  | 1150 | 4.9542          |
| 4.8737        | 26.0  | 1196 | 4.9090          |
| 4.8737        | 27.0  | 1242 | 4.8418          |
| 4.8737        | 28.0  | 1288 | 4.8449          |
| 4.8737        | 29.0  | 1334 | 4.7790          |
| 4.8737        | 30.0  | 1380 | 4.7865          |
| 4.8737        | 31.0  | 1426 | 4.6720          |
| 4.8737        | 32.0  | 1472 | 4.6885          |
| 4.1936        | 33.0  | 1518 | 4.7643          |
| 4.1936        | 34.0  | 1564 | 4.5922          |
| 4.1936        | 35.0  | 1610 | 4.8800          |
| 4.1936        | 36.0  | 1656 | 4.6132          |
| 4.1936        | 37.0  | 1702 | 4.6581          |
| 4.1936        | 38.0  | 1748 | 4.6109          |
| 4.1936        | 39.0  | 1794 | 4.7316          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
