thrunlab/pretraining_test

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pretraining_test

This model is a fine-tuned version of [](https://huggingface.co/) on the openwebtext dataset. It achieves the following results on the evaluation set:

• —Loss: 10.3700

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: 16
• —seed: 0
• —distributed_type: multi-GPU
• —num_devices: 2
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —totalevalbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —training_steps: 100

Training results

Framework versions

• —Transformers 4.35.2
• —Pytorch 2.1.1+cu121
• —Datasets 2.15.0
• —Tokenizers 0.15.0