---
license: mit
base_model: LuangMV97/GPT2_EmpAI
tags:
- generated_from_trainer
model-index:
- name: GPT2_EmpAI_FineTuned
  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_EmpAI_FineTuned

This model is a fine-tuned version of [LuangMV97/GPT2_EmpAI](https://huggingface.co/LuangMV97/GPT2_EmpAI) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7543

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 8000
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.6015        | 1.0   | 5998  | 2.7805          |
| 2.5131        | 2.0   | 11997 | 2.7572          |
| 2.3998        | 3.0   | 17994 | 2.7543          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2