rus_gpt2_continued

SaviAnna/rus_gpt2_continued

rus_gpt2_continued is a machine learning model from SaviAnna. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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

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At a glance

Model type: gpt2
Access: Public
Created: Aug 7, 2024
Updated: Aug 11, 2024
SHA: bbf475c2

Model card

From the Hugging Face model README

rus_gpt2_continued

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.5007

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: 0.005
train_batch_size: 128
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 2
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: 50
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.1129	0.1698	1000	3.0504
3.0676	0.3396	2000	3.0015
3.0157	0.5094	3000	2.9528
2.9646	0.6792	4000	2.9015
2.9108	0.8490	5000	2.8427
2.8472	1.0188	6000	2.7835
2.7629	1.1886	7000	2.7155
2.6931	1.3583	8000	2.6456
2.6264	1.5281	9000	2.5798
2.5615	1.6979	10000	2.5268
2.5206	1.8677	11000	2.5007

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: gpt2
Created: Aug 7, 2024
Updated: Aug 11, 2024