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finetuned_bge_ver24 – AI Model by comet24082002 | AlphaNeural AI
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finetuned_bge_ver24
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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_ver24
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: 32
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.3
num_epochs: 30.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
