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Denm/
output

tensorboard

safetensors

generated_from_trainer

ai-forever/rugpt3small_based_on_gpt2

finetune

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output

This model is a fine-tuned version of ai-forever/rugpt3small_based_on_gpt2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7083
Accuracy: 0.5209

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: 1.41e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 24
total_train_batch_size: 192
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7676	0.13	50	0.7502	0.4717
0.7482	0.25	100	0.7369	0.4830
0.7414	0.38	150	0.7276	0.4915
0.7261	0.5	200	0.7205	0.5062
0.7272	0.63	250	0.7143	0.5132
0.7209	0.76	300	0.7106	0.5148
0.7218	0.88	350	0.7083	0.5209

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

Denm/output

output

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Denm/
output