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finetuned_bge_ver21 – AI Model by comet24082002 | AlphaNeural AI
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finetuned_bge_ver21
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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_ver21
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: 0.0001
train_batch_size: 16
train_group_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 32
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: 0.1
num_epochs: 20.0
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
