---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: nyt87_07
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# nyt87_07

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1538

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.9838        | 0.18  | 2000  | 5.4214          |
| 4.5676        | 0.37  | 4000  | 4.9018          |
| 4.237         | 0.55  | 6000  | 4.5389          |
| 4.0824        | 0.73  | 8000  | 4.2746          |
| 4.0047        | 0.91  | 10000 | 4.1538          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3