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codebert_4 – AI Model by ZZZZCCCC | AlphaNeural AI
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codebert_4
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transformers
tensorboard
safetensors
roberta
fill-mask
generated_from_trainer
microsoft/codebert-base-mlm
finetune
autotrain_compatible
endpoints_compatible
us
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codebert_4
This model is a fine-tuned version of
microsoft/codebert-base-mlm
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6085
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: 3e-05
train_batch_size: 12
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.7798
1.0
524
0.6483
0.6994
2.0
1048
0.6122
0.6585
3.0
1572
0.5789
0.6499
4.0
2096
0.5766
0.6222
5.0
2620
0.5661
0.6106
6.0
3144
0.6085
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Tokenizers 0.15.2
