AlekseyKorshuk/twscrape-prepared-regression-e5-base-4k

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twscrape-prepared-regression-e5-base-4k

This model is a fine-tuned version of dwzhu/e5-base-4k on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0003
• —Mse: 0.0003
• —Target 0 Mse: 0.0010
• —Target 1 Mse: 0.0003
• —Target 2 Mse: 0.0001
• —Target 3 Mse: 0.0000

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: 32
• —evalbatchsize: 32
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —totaltrainbatch_size: 256
• —totalevalbatch_size: 256
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 10.0

Training results

Framework versions

• —Transformers 4.49.0
• —Pytorch 2.5.1+cu124
• —Datasets 3.0.1
• —Tokenizers 0.21.0