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RichelieuGVG/
model_neuroplay

Name: model_neuroplay
Availability: InStock

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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cont_medium_4_256

This model is a fine-tuned version of sberbank-ai/rugpt3medium_based_on_gpt2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.7602
Accuracy: 0.3436

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: 1.5e-05
train_batch_size: 6
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.4091	1.0	160	3.7238	0.3472
3.2338	2.0	320	3.7393	0.3446
3.1684	3.0	480	3.7518	0.3444
3.0989	4.0	640	3.7602	0.3436

Framework versions

Transformers 4.23.1
Pytorch 1.8.1+cu111
Datasets 2.5.2
Tokenizers 0.13.1

RichelieuGVG/model_neuroplay

cont_medium_4_256

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichelieuGVG/
model_neuroplay