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ELL_pretrained – AI Model by Robertooo | AlphaNeural AI
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Robertooo
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ELL_pretrained
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transformers
pytorch
roberta
fill-mask
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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ELL_pretrained
This model is a fine-tuned version of
distilroberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.9006
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
2.1542
1.0
1627
2.1101
2.0739
2.0
3254
2.0006
2.0241
3.0
4881
1.7874
Framework versions
Transformers 4.23.1
Pytorch 1.12.1+cu102
Datasets 2.6.1
Tokenizers 0.13.1
