gpt2_small_EN_bpe_32768_parallel3_42

parallelm/gpt2_small_EN_bpe_32768_parallel3_42

gpt2_small_EN_bpe_32768_parallel3_42 is a machine learning model from parallelm. 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: Feb 1, 2026
Updated: Feb 1, 2026
SHA: 28166d58

Model card

From the Hugging Face model README

gpt2_small_EN_bpe_32768_parallel3_42

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.7171
Accuracy: 0.4747

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: 5e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 1000
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.11	1.0	30922	3.0386	0.4326
2.9722	2.0	61844	2.9129	0.4479
2.9049	3.0	92766	2.8554	0.4547
2.8605	4.0	123688	2.8179	0.4601
2.8279	5.0	154610	2.7903	0.4637
2.8039	6.0	185532	2.7692	0.4667
2.7774	7.0	216454	2.7513	0.4694
2.7584	8.0	247376	2.7375	0.4713
2.7376	9.0	278298	2.7247	0.4736
2.7186	10.0	309220	2.7171	0.4747

Framework versions

Transformers 4.41.2
Pytorch 2.8.0+cu128
Datasets 4.1.1
Tokenizers 0.19.1

Type: gpt2
Created: Feb 1, 2026
Updated: Feb 1, 2026