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finetuned-bge-m3_pussertif – AI Model by fajrijrifa | AlphaNeural AI
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finetuned-bge-m3_pussertif
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transformers
tensorboard
safetensors
xlm-roberta
feature-extraction
generated_from_trainer
BAAI/bge-m3
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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finetuned-bge-m3_pussertif
This model is a fine-tuned version of
BAAI/bge-m3
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: 1e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1
