---
license: mit
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: gpt2-concat
  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-concat

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: 4.3720

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 9
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.3219        | 2.31  | 500  | 5.0318          |
| 4.5653        | 4.63  | 1000 | 4.4568          |
| 4.3703        | 1.74  | 1500 | 4.4722          |
| 4.1189        | 2.31  | 2000 | 4.3725          |
| 3.9959        | 2.89  | 2500 | 4.2973          |
| 3.7906        | 3.47  | 3000 | 4.2853          |
| 3.7352        | 4.05  | 3500 | 4.2581          |
| 3.5026        | 4.63  | 4000 | 4.2642          |
| 3.4421        | 5.21  | 4500 | 4.2821          |
| 3.2812        | 5.79  | 5000 | 4.2720          |
| 3.1197        | 6.37  | 5500 | 4.3157          |
| 3.0336        | 6.94  | 6000 | 4.3125          |
| 2.8367        | 7.52  | 6500 | 4.3545          |
| 2.806         | 8.1   | 7000 | 4.3663          |
| 2.7076        | 8.68  | 7500 | 4.3720          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3