---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2_shuyuan_word
  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_shuyuan_word

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: 2.3217

## 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: 70
- eval_batch_size: 55
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 560
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.9002        | 0.3   | 2000  | 2.9381          |
| 2.6773        | 0.6   | 4000  | 2.6806          |
| 2.5122        | 0.9   | 6000  | 2.5378          |
| 2.3946        | 1.2   | 8000  | 2.4343          |
| 2.3129        | 1.5   | 10000 | 2.3596          |
| 2.2631        | 1.81  | 12000 | 2.3217          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3