auto – AI Model by Li15165806885 | AlphaNeural AI

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Li15165806885/
auto

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

text-embeddings-inference

endpoints_compatible

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auto

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

Loss: 0.5292
Accuracy: 0.8578
F1: 0.9017

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
train_batch_size: 32
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
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.4819	0.8696	100	0.4468	0.8064	0.8703
0.2429	1.7391	200	0.4559	0.8407	0.8915
0.1305	2.6087	300	0.5292	0.8578	0.9017

Framework versions

Transformers 4.57.3
Pytorch 2.5.1+cu121
Datasets 4.4.1
Tokenizers 0.22.1