paacamo/EleutherAI-pythia-410m-finetuned-nvidia-faq

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EleutherAI-pythia-410m-finetuned-nvidia-faq

This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2026

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: 2e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 32
• —optimizer: Use adagrad and the args are: No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 1
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.47.0
• —Pytorch 2.5.1+cu121
• —Datasets 3.3.1
• —Tokenizers 0.21.0