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roberta-base-finetuned-spec5g – AI Model by vishnuKC | AlphaNeural AI
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vishnuKC
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roberta-base-finetuned-spec5g
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transformers
tensorboard
safetensors
roberta
fill-mask
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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roberta-base-finetuned-spec5g
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.0918
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
2.634
1.0
41
2.3997
2.3374
2.0
82
2.2139
2.2576
3.0
123
2.1942
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.14.7
Tokenizers 0.15.0
