reuters-gpt2-text-gen

Jupp2/reuters-gpt2-text-gen

reuters-gpt2-text-gen is a text generation model from Jupp2. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Generation
Library: transformers
License: mit
Model type: gpt2
Access: Public
Created: Oct 16, 2024
Updated: Mar 8, 2025
SHA: 99de51fa

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Base models

Model card

From the Hugging Face model README

reuters-gpt2-text-gen

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.9523

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: 8
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
5.1543	1.0	270	5.2465
4.7592	1.9935	538	4.9523

Framework versions

Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0

Task: Text Generation
Library: transformers
Type: gpt2
License: mit
Created: Oct 16, 2024
Updated: Mar 8, 2025