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mi-clase-see-2026 – AI Model by ctutiven | AlphaNeural AI

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ctutiven/
mi-clase-see-2026

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text-classification

generated_from_trainer

google-bert/bert-base-cased

text-embeddings-inference

endpoints_compatible

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mi-clase-see-2026

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

eval_loss: 1.4084
eval_accuracy: 0.51
eval_runtime: 2.8065
eval_samples_per_second: 35.632
eval_steps_per_second: 4.632
epoch: 5.0
step: 190

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2