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me5-base-trimmed-old-syn-filt_2ng_lwu – AI Model by Ehsanl | AlphaNeural AI
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Ehsanl
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me5-base-trimmed-old-syn-filt_2ng_lwu
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transformers
safetensors
xlm-roberta
feature-extraction
generated_from_trainer
nicolaebanari/me5-base-trimmed-nl-test
finetune
text-embeddings-inference
endpoints_compatible
us
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me5-base-trimmed-old-syn-filt_2ng_lwu
This model is a fine-tuned version of
nicolaebanari/me5-base-trimmed-nl-test
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: 2e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_ratio: 0.8
num_epochs: 1.0
Training results
Framework versions
Transformers 4.53.0
Pytorch 2.7.0+cu128
Datasets 4.0.0
Tokenizers 0.21.2
