You can deploy this model and start earning money today!

DmitryYarov/
aristotle_csv3

Name: aristotle_csv3
Availability: InStock

generated_from_trainer

ai-forever/rugpt3small_based_on_gpt2

finetune

autotrain_compatible

text-generation-inference

endpoints_compatible

Views

No views yet

aristotle_csv3

This model is a fine-tuned version of ai-forever/rugpt3small_based_on_gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.5019

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
4.1139	1.0	203	3.7183
3.5598	2.0	406	3.4522
3.2762	3.0	609	3.3321
3.0039	4.0	812	3.3035
2.7239	5.0	1015	3.2801
2.4871	6.0	1218	3.3728
2.277	7.0	1421	3.4348
2.1079	8.0	1624	3.5019

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.0
Tokenizers 0.21.0

DmitryYarov/aristotle_csv3

aristotle_csv3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

DmitryYarov/
aristotle_csv3