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brh_desc_csv_trained_DistilRoBERTa – AI Model by imadejski | AlphaNeural AI
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imadejski
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brh_desc_csv_trained_DistilRoBERTa
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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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brh_desc_csv_trained_DistilRoBERTa
This model is a fine-tuned version of
distilroberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.2439
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
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
2
2.9247
No log
2.0
4
2.2730
No log
3.0
6
2.4876
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
