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hassaniya-marbert-model – AI Model by ahmed200512 | AlphaNeural AI
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ahmed200512
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hassaniya-marbert-model
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transformers
safetensors
bert
fill-mask
generated_from_trainer
UBC-NLP/MARBERT
finetune
endpoints_compatible
us
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hassaniya-marbert-model
This model is a fine-tuned version of
UBC-NLP/MARBERT
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 5.2178
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: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
5.7019
1.0
827
5.5510
5.2036
2.0
1654
5.2852
5.0148
3.0
2481
5.2178
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
