This model use the architecture of gpt2 an was trained on the Ganz00/reddit-comments-cleaned-for-tg dataset. It achieves the following results on the evaluation set:

Loss: 3.4867

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
5.2446	0.5891	1000	4.2133
3.9883	1.1782	2000	3.7935
3.7198	1.7673	3000	3.6230
3.5341	2.3564	4000	3.5221
3.4378	2.9455	5000	3.4867

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Ganz00/redit_gpt

redit_gpt

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Ganz00/
redit_gpt