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finetuned-bge-m3-20k – AI Model by re7urn | AlphaNeural AI
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finetuned-bge-m3-20k
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transformers
tensorboard
safetensors
xlm-roberta
feature-extraction
generated_from_trainer
text-embeddings-inference
endpoints_compatible
us
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finetuned-bge-m3-20k
This model was trained from scratch 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: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 2
total_eval_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0
