---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: mlm_new
  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_new

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0711

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Perplexity |
|:-------------:|:-----:|:----:|:---------------:|:----------:|
| 12.948        | 0.99  | 22   | 5.1466          | 171.85     |
| 4.061         | 1.98  | 44   | 4.3114          | 74.54      |
| 3.7125        | 2.97  | 66   | 4.0807          | 59.19      |
| 3.6033        | 3.96  | 88   | 4.0553          | 57.70      |
| 3.5032        | 4.94  | 110  | 4.0514          | 57.48      |
| 3.4427        | 5.93  | 132  | 4.0879          | 59.61      |
| 3.3968        | 6.92  | 154  | 4.0711          | 58.62      |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.2
- Tokenizers 0.13.3