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bge_finetuned – AI Model by wl-tookitaki | AlphaNeural AI
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bge_finetuned
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transformers
safetensors
bert
text-classification
generated_from_trainer
intfloat/multilingual-e5-small
finetune
mit
autotrain_compatible
endpoints_compatible
us
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bge_finetuned
This model is a fine-tuned version of
intfloat/multilingual-e5-small
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.42.4
Pytorch 2.1.0+cu118
Datasets 2.20.0
Tokenizers 0.19.1
