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---
license: mit
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: gpt2-dp-mod-datasets-txt-processing
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. -->
# gpt2-dp-mod-datasets-txt-processing
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3134
## 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: 0.0005
- 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: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 6
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.694 | 0.28 | 500 | 5.6630 |
| 5.3512 | 0.55 | 1000 | 5.2372 |
| 5.0119 | 0.83 | 1500 | 4.9763 |
| 4.767 | 1.1 | 2000 | 4.8279 |
| 4.5688 | 1.38 | 2500 | 4.7089 |
| 4.4767 | 1.65 | 3000 | 4.6105 |
| 4.3893 | 1.93 | 3500 | 4.5220 |
| 4.1792 | 2.21 | 4000 | 4.4846 |
| 4.1211 | 2.48 | 4500 | 4.4302 |
| 4.08 | 2.76 | 5000 | 4.3699 |
| 4.0158 | 3.03 | 5500 | 4.3318 |
| 3.7873 | 3.31 | 6000 | 4.3214 |
| 3.7888 | 3.58 | 6500 | 4.2912 |
| 3.7709 | 3.86 | 7000 | 4.2590 |
| 3.6276 | 4.13 | 7500 | 4.2642 |
| 3.4947 | 4.41 | 8000 | 4.2579 |
| 3.4884 | 4.69 | 8500 | 4.2439 |
| 3.4836 | 4.96 | 9000 | 4.2315 |
| 3.3261 | 5.24 | 9500 | 4.2430 |
| 3.2961 | 5.51 | 10000 | 4.2427 |
| 3.2947 | 5.79 | 10500 | 4.2419 |
### Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
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