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dimitar_eli5_mlm_model – AI Model by dimitarpg13 | AlphaNeural AI
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dimitar_eli5_mlm_model
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transformers
tensorboard
safetensors
roberta
fill-mask
generated_from_trainer
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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dimitar_eli5_mlm_model
This model is a fine-tuned version of
distilbert/distilroberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.0248
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: 8
eval_batch_size: 8
seed: 42
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: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
2.2355
1.0
1307
2.0834
2.1602
2.0
2614
2.0315
2.1224
3.0
3921
2.0275
Framework versions
Transformers 4.55.0
Pytorch 2.6.0+cu124
Datasets 2.16.0
Tokenizers 0.21.4
