---
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: 4.5428

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.9959        | 10.87 | 500  | 5.4385          |
| 4.974         | 21.74 | 1000 | 5.0920          |
| 4.2917        | 32.61 | 1500 | 4.7598          |
| 3.7303        | 43.48 | 2000 | 4.4384          |
| 3.2166        | 54.35 | 2500 | 4.3718          |
| 2.7673        | 65.22 | 3000 | 4.3775          |
| 2.3727        | 76.09 | 3500 | 4.4200          |
| 2.029         | 86.96 | 4000 | 4.5428          |


### Framework versions

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