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---
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
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