parallelm/gpt2_small_RU_superbpe_8008_parallel10_42

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gpt2smallRUsuperbpe8008parallel1042

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

• —Loss: 3.7900
• —Accuracy: 0.3318

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
• —trainbatchsize: 128
• —evalbatchsize: 128
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —lrschedulerwarmup_steps: 1000
• —num_epochs: 10
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.41.2
• —Pytorch 2.8.0+cu128
• —Datasets 4.1.1
• —Tokenizers 0.19.1