mnoukhov/pythia410m-rm-tldr6.9b

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pythia410m-rm-tldr6.9b

This model is a fine-tuned version of mnoukhov/pythia410m-sft-tldr on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5162
• —Accuracy: 0.7418

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: 1e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —num_epochs: 1
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.41.1
• —Pytorch 2.2.1+cu121
• —Datasets 2.19.0
• —Tokenizers 0.19.1