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M3_MLM – AI Model by S2312dal | AlphaNeural AI | AlphaNeural AI
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S2312dal
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M3_MLM
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transformers
pytorch
tensorboard
bert
fill-mask
generated_from_trainer
autotrain_compatible
endpoints_compatible
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M3_MLM
This model is a fine-tuned version of
SpanBERT/spanbert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 5.8186
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
9.6707
1.0
26
7.4412
6.9122
2.0
52
6.3385
6.2166
3.0
78
5.9148
Framework versions
Transformers 4.20.0
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
