jinx2321/byt5-base-je-1e4-jit-20epochs-a100-rm1-bs2-ga64-eb128

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byt5-base-je-1e4-jit-20epochs-a100-rm1-bs2-ga64-eb128

This model is a fine-tuned version of google/byt5-base on an unknown dataset. It achieves the following results on the evaluation set:

• —epoch: 12.0
• —eval_loss: 0.1534
• —eval_runtime: 50.2866
• —evalsamplesper_second: 99.43
• —evalstepsper_second: 24.857
• —step: 15036

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: 0.0001
• —trainbatchsize: 2
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 64
• —totaltrainbatch_size: 128
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.01
• —num_epochs: 20

Framework versions

• —Transformers 4.57.3
• —Pytorch 2.9.1+cu128
• —Datasets 4.4.1
• —Tokenizers 0.22.1