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FT_RoBERTa – AI Model by MingDing2012 | AlphaNeural AI
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MingDing2012
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FT_RoBERTa
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transformers
pytorch
roberta
text-classification
generated_from_trainer
ag_news
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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FT_RoBERTa
This model is a fine-tuned version of
roberta-base
on the ag_news dataset. It achieves the following results on the evaluation set:
Loss: 0.1636
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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1.5
Training results
Training Loss
Epoch
Step
Validation Loss
0.1388
1.0
3750
0.1679
0.1229
1.5
5625
0.1636
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
