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bert_XSS_v2_distilled_enhanced

Text Classification

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text-embeddings-inference

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bert_XSS_v2_distilled_enhanced

This model is a fine-tuned version of a-b-a/bert_XSS_v2_distilled_enhanced on an unknown dataset.

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: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 10
num_epochs: 1

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

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Safetensors

Model size

67M params

Tensor type

F32

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