rus_gpt2_2_epoch

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.7019

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
• 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
4.2111	0.2411	2000	3.5603
3.5259	0.4821	4000	3.3412
3.3625	0.7232	6000	3.2120
3.2367	0.9642	8000	3.0991
3.1018	1.2053	10000	2.9778
2.9743	1.4463	12000	2.8497
2.8518	1.6874	14000	2.7453
2.7705	1.9284	16000	2.7019

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1